2020
|
McIntosh, Bruce; Venkataramanan, Shashanka; Mahalanobis, Abhijit Target Detection in Cluttered Environments Using Infra-Red Images Conference IEEE International Conference on Image Processing, 2020. Abstract | BibTeX | Links: @conference{McIntosh2020,
title = {Target Detection in Cluttered Environments Using Infra-Red Images},
author = {Bruce McIntosh and Shashanka Venkataramanan and Abhijit Mahalanobis},
url = {https://www.crcv.ucf.edu/wp-content/uploads/2020/07/icip2020_photoready.pdf},
year = {2020},
date = {2020-10-28},
booktitle = {IEEE International Conference on Image Processing},
abstract = {The detection of targets in infra-red imagery is a challenging problem which involves locating small targets in heavily
cluttered environments while maintaining a low false alarm rate. We propose a network that optimizes a “target to clutter
ratio”(TCR) metric defined as the ratio of the output energies produced by the network in response to targets and clutter.
We show that for target detection, it is advantageous to analytically derive the first layer of a CNN to maximize the
TCR metric, and then train the rest of the network to optimize the same cost function. We evaluate the performance of the
resulting network using a public domain MWIR data set released by the US Army’s Night Vision Laboratories, and compare
it to the state-of-the-art detectors such as Faster RCNN and Yolo-v3. Referred to as the TCRNet, the proposed network
demonstrates state of the art results with greater than 30% improvement in probability of detection while reducing
the false alarm rate by more than a factor of 2 when compared to these leading methods. Ablation studies also show that the
proposed approach and metric are superior to learning the entire network from scratch, or using conventional regression
metrics such as the mean square error (MSE). },
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The detection of targets in infra-red imagery is a challenging problem which involves locating small targets in heavily
cluttered environments while maintaining a low false alarm rate. We propose a network that optimizes a “target to clutter
ratio”(TCR) metric defined as the ratio of the output energies produced by the network in response to targets and clutter.
We show that for target detection, it is advantageous to analytically derive the first layer of a CNN to maximize the
TCR metric, and then train the rest of the network to optimize the same cost function. We evaluate the performance of the
resulting network using a public domain MWIR data set released by the US Army’s Night Vision Laboratories, and compare
it to the state-of-the-art detectors such as Faster RCNN and Yolo-v3. Referred to as the TCRNet, the proposed network
demonstrates state of the art results with greater than 30% improvement in probability of detection while reducing
the false alarm rate by more than a factor of 2 when compared to these leading methods. Ablation studies also show that the
proposed approach and metric are superior to learning the entire network from scratch, or using conventional regression
metrics such as the mean square error (MSE). |
Venkataramanan, Shashanka; Peng, Kuan-Chuan; Singh, Rajat Vikram; Mahalanobis, Abhijit Attention Guided Anomaly Localization in Images Conference 16th European Conference on Computer Vision, 2020. Abstract | BibTeX | Links: @conference{Venkataramanan2020,
title = {Attention Guided Anomaly Localization in Images},
author = {Shashanka Venkataramanan and Kuan-Chuan Peng and Rajat Vikram Singh and Abhijit Mahalanobis},
url = {https://www.crcv.ucf.edu/wp-content/uploads/2020/07/2813.pdf
https://youtu.be/b-EQr-fGPWo},
year = {2020},
date = {2020-08-23},
booktitle = {16th European Conference on Computer Vision},
abstract = {Anomaly localization is an important problem in computer vision which involves localizing anomalous regions within images with applications in industrial inspection, surveillance, and medical imaging. This task is challenging due to the small sample size and pixel coverage of the anomaly in real-world scenarios. Most prior works need to use anomalous training images to compute a class-specific threshold to localize anomalies. Without the need of anomalous training images, we propose Convolutional Adversarial Variational autoencoder with Guided Attention (CAVGA), which localizes the anomaly with a convolutional latent variable to preserve the spatial information. In the unsupervised setting, we propose an attention expansion loss where we encourage CAVGA to focus on all normal regions in the image. Furthermore, in the weakly supervised setting we propose a complementary guided attention loss, where we encourage the attention map to focus on all normal regions while minimizing the attention map corresponding to anomalous regions in the image. CAVGA outperforms the state-of-the-art (SOTA) anomaly localization methods on MVTec Anomaly Detection (MVTAD), modified ShanghaiTech Campus (mSTC) and Large-scale Attention based Glaucoma (LAG) datasets in the unsupervised setting and when using only 2% anomalous images in the weakly-supervised setting. CAVGA also outperforms SOTA anomaly detection methods on the MNIST, CIFAR-10, Fashion-MNIST, MVTAD, mSTC and LAG datasets.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Anomaly localization is an important problem in computer vision which involves localizing anomalous regions within images with applications in industrial inspection, surveillance, and medical imaging. This task is challenging due to the small sample size and pixel coverage of the anomaly in real-world scenarios. Most prior works need to use anomalous training images to compute a class-specific threshold to localize anomalies. Without the need of anomalous training images, we propose Convolutional Adversarial Variational autoencoder with Guided Attention (CAVGA), which localizes the anomaly with a convolutional latent variable to preserve the spatial information. In the unsupervised setting, we propose an attention expansion loss where we encourage CAVGA to focus on all normal regions in the image. Furthermore, in the weakly supervised setting we propose a complementary guided attention loss, where we encourage the attention map to focus on all normal regions while minimizing the attention map corresponding to anomalous regions in the image. CAVGA outperforms the state-of-the-art (SOTA) anomaly localization methods on MVTec Anomaly Detection (MVTAD), modified ShanghaiTech Campus (mSTC) and Large-scale Attention based Glaucoma (LAG) datasets in the unsupervised setting and when using only 2% anomalous images in the weakly-supervised setting. CAVGA also outperforms SOTA anomaly detection methods on the MNIST, CIFAR-10, Fashion-MNIST, MVTAD, mSTC and LAG datasets. |
2019
|
Tanner, Irene; Mahalanobis, Abhijit Fundamentals of Target Classification Using Deep Learning Conference SPIE's Defense and Commercial Sensing (DCS 2019), 2019. BibTeX @conference{Tanner2019b,
title = {Fundamentals of Target Classification Using Deep Learning},
author = {Irene Tanner and Abhijit Mahalanobis},
year = {2019},
date = {2019-12-01},
booktitle = {SPIE's Defense and Commercial Sensing (DCS 2019)},
journal = {SPIE's Defense and Commercial Sensing (DCS 2019)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Arif, Maliha; Mahalanobis, Abhijit View Prediction using manifold learning in non-linear feature subspace Proceeding SPIE Symposium on Mulispectral Image Processing and Pattern Recognition, 2019. BibTeX | Links: @proceedings{Maliha2019,
title = {View Prediction using manifold learning in non-linear feature subspace},
author = {Maliha Arif and Abhijit Mahalanobis},
url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11430/114301N/View-prediction-using-manifold-learning-in-non-linear-feature-subspace/10.1117/12.2539521.short?webSyncID=20c89a0c-e46e-9e6e-c7a4-9dab6a0cbad0&sessionGUID=59329ad8-83c9-d902-bc99-93ced268bead},
year = {2019},
date = {2019-11-01},
publisher = {SPIE Symposium on Mulispectral Image Processing and Pattern Recognition},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Tanner, Irene; Mahalanobis, Abhijit Fundamentals of Target Classification Using Deep Learning Conference SPIE's Defense and Commercial Sensing, 2019. BibTeX @conference{Tanner2019c,
title = {Fundamentals of Target Classification Using Deep Learning},
author = {Irene Tanner and Abhijit Mahalanobis },
year = {2019},
date = {2019-08-01},
booktitle = {SPIE's Defense and Commercial Sensing},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Mahalanobis, Abhijit An overview of some techniques for the detection and recognition of objects in 3D data Proceeding OSA Imaging and Applied Optics Congress, 2019. BibTeX @proceedings{Mahalanobis2019,
title = {An overview of some techniques for the detection and recognition of objects in 3D data},
author = {Abhijit Mahalanobis},
year = {2019},
date = {2019-06-01},
publisher = {OSA Imaging and Applied Optics Congress},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Tanner, Irene; Mahalanobis, Abhijit Fundamentals of target classification using deep learning Proceeding Automatic Target Recognition XXIX, 10988 , 2019. BibTeX @proceedings{Tanner2019,
title = {Fundamentals of target classification using deep learning},
author = {Irene Tanner and Abhijit Mahalanobis},
year = {2019},
date = {2019-05-14},
volume = {10988},
publisher = {Automatic Target Recognition XXIX},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Mahalanobis, Abhijit; McIntosh, Bruce A comparison of target detection algorithms using DSIAC ATR algorithm development data set, Proceeding Automatic Target Recognition XXIX, 10988 , 2019. BibTeX @proceedings{Mahalanobis2019b,
title = {A comparison of target detection algorithms using DSIAC ATR algorithm development data set,},
author = {Abhijit Mahalanobis and Bruce McIntosh},
year = {2019},
date = {2019-05-14},
volume = {10988},
publisher = {Automatic Target Recognition XXIX},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
2017
|
Komatsu, S; Markman, A; Mahalanobis, Abhijit; Chen, Kenny; Javidi, Bahram Three-dimensional integral imaging and object detection using long-wave infrared imaging Journal Article Applied Optics , 2017. BibTeX @article{Komatsu2017,
title = {Three-dimensional integral imaging and object detection using long-wave infrared imaging},
author = {S. Komatsu and A. Markman and Abhijit Mahalanobis and Kenny Chen and Bahram Javidi },
year = {2017},
date = {2017-12-12},
journal = {Applied Optics },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Mahalanobis, Abhijit; Shilling, R; Muise, Robert; Neifeld, Mark High resolution imaging using a translating coded aperture Journal Article Optical Engineering , 56 (8), 2017. BibTeX @article{Mahalanobis2017,
title = {High resolution imaging using a translating coded aperture},
author = {Abhijit Mahalanobis and R. Shilling and Robert Muise and Mark Neifeld},
year = {2017},
date = {2017-08-22},
journal = {Optical Engineering },
volume = {56},
number = {8},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Komatsu, S; Markman, A; Mahalanobis, Abhijit; Chen, Kenny; Javidi, Bahram Passive long-wave infrared three-dimensional integral imaging for face detection and depth estimation: an overview Proceeding Three-Dimensional Imaging, Visualization, and Display , 2017. BibTeX | Links: @proceedings{Komatsu2020,
title = {Passive long-wave infrared three-dimensional integral imaging for face detection and depth estimation: an overview},
author = {S. Komatsu and A. Markman and Abhijit Mahalanobis and Kenny Chen and Bahram Javidi},
url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10219/1021918/Passive-long-wave-infrared-three-dimensional-integral-imaging-for-face/10.1117/12.2276286.short},
year = {2017},
date = {2017-05-10},
publisher = {Three-Dimensional Imaging, Visualization, and Display },
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
2016
|
Mahalanobis, Abhijit; Javidi, Bahram; Chen, Kenny Integral Imaging for long range and obscured environments Proceeding Imaging and Applied Optics Congress, 2016. BibTeX @proceedings{Mahalanobis2016b,
title = {Integral Imaging for long range and obscured environments},
author = {Abhijit Mahalanobis and Bahram Javidi and Kenny Chen},
year = {2016},
date = {2016-07-01},
publisher = {Imaging and Applied Optics Congress},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Mahalanobis, Abhijit Pixel Resolution Improvement using a Sliding Mask (PRISM) Journal Article Imaging and Applied Optics Congress, 2016. BibTeX @article{Mahalanobis2016,
title = {Pixel Resolution Improvement using a Sliding Mask (PRISM)},
author = {Abhijit Mahalanobis},
year = {2016},
date = {2016-07-01},
journal = {Imaging and Applied Optics Congress},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Forman, Arthur; Mahalanobis, Abhijit Restoration of randomly sampled blurred images Proceeding Automatic Target Recognition XXVI, 2016. BibTeX @proceedings{Forman2016,
title = {Restoration of randomly sampled blurred images},
author = {Arthur Forman and Abhijit Mahalanobis},
year = {2016},
date = {2016-05-01},
publisher = {Automatic Target Recognition XXVI},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Mahalanobis, Abhijit Tracker-aided adaptive multi-frame recognition of a specific target Proceeding (9844-39), 2016. BibTeX @proceedings{Mahalanobis2016c,
title = {Tracker-aided adaptive multi-frame recognition of a specific target},
author = {Abhijit Mahalanobis},
year = {2016},
date = {2016-04-01},
number = {9844-39},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
2015
|
Chen, Kenny; Mahalanobis, Abhijit; Stanfill, Robert; Javidi, Bahram Integral imaging for anti-access/area denial environments Proceeding Three-Dimensional Imaging, Visualization, and Display , 2015. BibTeX @proceedings{Chen2015b,
title = {Integral imaging for anti-access/area denial environments},
author = {Kenny Chen and Abhijit Mahalanobis and Robert Stanfill and Bahram Javidi},
year = {2015},
date = {2015-05-22},
publisher = {Three-Dimensional Imaging, Visualization, and Display },
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Chen, Kenny; Stanfill, Robert; Mahalanobis, Abhijit Aided target recognition using hyperdimensional manifolds Proceeding Automatic Target Recognition XXV, 2015. BibTeX @proceedings{Chen2015,
title = {Aided target recognition using hyperdimensional manifolds},
author = {Kenny Chen and Robert Stanfill and Abhijit Mahalanobis},
year = {2015},
date = {2015-05-22},
publisher = {Automatic Target Recognition XXV},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Veras, J; Muise, Robert; Hines, K; Mahalanobis, Abhijit; Neifeld, Mark Computational imaging in a multiplexed imager with static multispectral encoding Proceeding Compressive Sensing IV, 2015. BibTeX @proceedings{Veras2015,
title = {Computational imaging in a multiplexed imager with static multispectral encoding},
author = {J. Veras and Robert Muise and K. Hines and Abhijit Mahalanobis and Mark Neifeld},
year = {2015},
date = {2015-05-14},
publisher = {Compressive Sensing IV},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
2014
|
Mahalanobis, Abhijit; Muise, Robert; Roy, S Efficient target detection using an adaptive compressive imager Journal Article IEEE Transactions on Aerospace and Electronic Systems, 50 (4), pp. 2528-2540, 2014. BibTeX @article{Mahalanobis2014c,
title = {Efficient target detection using an adaptive compressive imager},
author = {Abhijit Mahalanobis and Robert Muise and S. Roy},
year = {2014},
date = {2014-10-13},
journal = {IEEE Transactions on Aerospace and Electronic Systems},
volume = {50},
number = {4},
pages = {2528-2540},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Mahalanobis, Abhijit; Muise, Robert; Roy, S Adaptive compressive sensing for target detection Proceeding SPIE, 9090 , 2014. BibTeX @proceedings{Mahalanobis2014d,
title = {Adaptive compressive sensing for target detection},
author = {Abhijit Mahalanobis and Robert Muise and S. Roy},
year = {2014},
date = {2014-06-01},
volume = {9090},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Mahalanobis, Abhijit; Neifeld, Mark Optimizing Measurements for Feature Specific Compressive Sensing Journal Article Applied Optics , 53 (26), pp. 6108-6118, 2014. BibTeX @article{Mahalanobis2014b,
title = {Optimizing Measurements for Feature Specific Compressive Sensing},
author = {Abhijit Mahalanobis and Mark Neifeld},
year = {2014},
date = {2014-02-28},
journal = {Applied Optics },
volume = {53},
number = {26},
pages = {6108-6118},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Mahalanobis, Abhijit; Shilling, Robert; Murphy, Robert; Muise, R Recent results of medium wave infrared compressive sensing Journal Article Applied Optics , 53 (34), pp. 8060-8070, 2014. BibTeX @article{Mahalanobis2014,
title = {Recent results of medium wave infrared compressive sensing},
author = {Abhijit Mahalanobis and Robert Shilling and Robert Murphy and R. Muise},
year = {2014},
date = {2014-02-12},
journal = {Applied Optics },
volume = {53},
number = {34},
pages = {8060-8070},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2013
|
Cho, Myungjin; Mahalanobis, Abhijit; Javidi, Bahram; Barnard, K J 3D automatic target recognition of passive photon counting integral imaging using advanced correlation filters Proceeding Online Technical Digest, 2013. BibTeX @proceedings{Cho2013,
title = {3D automatic target recognition of passive photon counting integral imaging using advanced correlation filters},
author = {Myungjin Cho and Abhijit Mahalanobis and Bahram Javidi and K.J Barnard},
year = {2013},
date = {2013-02-12},
publisher = {Online Technical Digest},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Rodriguez, Andres; Boddeti, V N; Kumar, Vijaya B V K; Mahalanobis, Abhijit Maximum Margin Correlation Filter: A New Approach for Localization and Classification Journal Article IEEE Transactions on Image Processing, 2013. BibTeX @article{Rodriguez2013,
title = {Maximum Margin Correlation Filter: A New Approach for Localization and Classification},
author = {Andres Rodriguez and V.N. Boddeti and B.V.K. Vijaya Kumar and Abhijit Mahalanobis},
year = {2013},
date = {2013-02-01},
journal = {IEEE Transactions on Image Processing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Mahalanobis, Abhijit; Xiao, X; Rivenson, Y; Horisaki, R; Stern, A; Tanida, J; Javidi, Bahram 3D Imaging with Compressive Sensing Journal Article Imaging Systems and Applications (ISA), 2013. BibTeX @article{Mahalanobis2013,
title = {3D Imaging with Compressive Sensing},
author = {Abhijit Mahalanobis and X. Xiao and Y. Rivenson and R. Horisaki and A. Stern and J. Tanida and Bahram Javidi},
year = {2013},
date = {2013-02-01},
journal = {Imaging Systems and Applications (ISA)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Javidi, Bahram; Cho, Myungjin; Moon, I; Anand, A; Martinez-Corral, M; Stern, A; Mahalanobis, Abhijit; Zalevsky, Z 3D imaging and visualization: An overview of recent advances Workshop Information Optics (WIO), , 2013. BibTeX @workshop{Javidi2013,
title = {3D imaging and visualization: An overview of recent advances},
author = {Bahram Javidi and Myungjin Cho and I. Moon and A. Anand and M. Martinez-Corral and A. Stern and Abhijit Mahalanobis and Z. Zalevsky},
year = {2013},
date = {2013-02-01},
pages = {1-3},
publisher = {Information Optics (WIO), },
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
|
2012
|
Cho, Myungjin; Mahalanobis, Abhijit; Javidi, Bahram Automatic target recognition of 3D objects under photon starved condition using advanced correlation filters Proceeding SPIE, 2012. BibTeX @proceedings{Cho2012b,
title = {Automatic target recognition of 3D objects under photon starved condition using advanced correlation filters},
author = {Myungjin Cho and Abhijit Mahalanobis and Bahram Javidi},
year = {2012},
date = {2012-05-01},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Mahalanobis, Abhijit; Muise, Robert A compressive sensor concept for target detection Proceeding SPIE, 8398 , 2012. BibTeX @proceedings{Mahalanobis2012,
title = {A compressive sensor concept for target detection},
author = {Abhijit Mahalanobis and Robert Muise},
year = {2012},
date = {2012-04-01},
volume = {8398},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Cho, Myungjin; Mahalanobis, Abhijit; Javidi, Bahram 3D passive integral imaging using compressive sensing Journal Article Optics Express, 20 (24), pp. 26624-26635, 2012. BibTeX @article{Cho2012,
title = {3D passive integral imaging using compressive sensing},
author = {Myungjin Cho and Abhijit Mahalanobis and Bahram Javidi },
year = {2012},
date = {2012-02-01},
journal = {Optics Express},
volume = {20},
number = {24},
pages = {26624-26635},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2011
|
Mahalanobis, Abhijit Transform domain adaptive compressive sensing of specific objects Proceeding SPIE, 8056 , 2011. BibTeX @proceedings{Mahalanobis2011c,
title = {Transform domain adaptive compressive sensing of specific objects},
author = {Abhijit Mahalanobis},
year = {2011},
date = {2011-06-01},
volume = {8056},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Mahalanobis, Abhijit; Berkowitz, Phil; Shah, Mubarak View morphing using linear prediction of sub-space features Proceeding SPIE, 8049 , 2011. BibTeX @proceedings{Mahalanobis2011,
title = {View morphing using linear prediction of sub-space features},
author = {Abhijit Mahalanobis and Phil Berkowitz and Mubarak Shah},
year = {2011},
date = {2011-05-01},
volume = {8049},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Mahalanobis, Abhijit; Stanfill, Robert; Chen, Kenny A Bayesian approach to activity detection in video using multi-frame correlation filters Proceeding SPIE, 8049 , 2011. BibTeX @proceedings{Mahalanobis2011b,
title = {A Bayesian approach to activity detection in video using multi-frame correlation filters},
author = {Abhijit Mahalanobis and Robert Stanfill and Kenny Chen },
year = {2011},
date = {2011-05-01},
volume = {8049},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Cho, Myungjin; Mahalanobis, Abhijit; Javidi, Bahram 3D passive photon counting automatic target recognition using advanced correlation filters Journal Article Opt. Lett. , 36 , 2011. BibTeX @article{Cho2011,
title = {3D passive photon counting automatic target recognition using advanced correlation filters},
author = {Myungjin Cho and Abhijit Mahalanobis and Bahram Javidi},
year = {2011},
date = {2011-02-02},
journal = {Opt. Lett. },
volume = {36},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2010
|
Mahalanobis, Abhijit; Muise, Robert Resource allocation in coded aperture sensor systems Proceeding SPIE, 7818 , 2010. BibTeX @proceedings{Mahalanobis2010,
title = {Resource allocation in coded aperture sensor systems},
author = {Abhijit Mahalanobis and Robert Muise},
year = {2010},
date = {2010-08-01},
volume = {7818},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Rodriguez, Andres; Panza, Jeffrey; Kumar, Vijaya B V K; Mahalanobis, Abhijit Automatic recognition of multiple targets with varying velocities using quadratic correlation filters and Kalman filters Conference IEEE, 2010. BibTeX @conference{Rodriguez2010b,
title = {Automatic recognition of multiple targets with varying velocities using quadratic correlation filters and Kalman filters},
author = {Andres Rodriguez and Jeffrey Panza and B.V.K. Vijaya Kumar and Abhijit Mahalanobis},
year = {2010},
date = {2010-02-01},
pages = {446-451},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
2009
|
Mahalanobis, Abhijit; Neifeld, Mark; Kumar, Vijaya B V K; Haberfelde, Thomas; Brady, David Off-axis sparse aperture imaging using phase optimization techniques for application in wide-area imaging systems Journal Article Applied Optics, 48 (28), pp. 5212-5224, 2009. BibTeX @article{Mahalanobis2009,
title = {Off-axis sparse aperture imaging using phase optimization techniques for application in wide-area imaging systems},
author = {Abhijit Mahalanobis and Mark Neifeld and B.V.K. Vijaya Kumar and Thomas Haberfelde and David Brady},
year = {2009},
date = {2009-10-06},
journal = {Applied Optics},
volume = {48},
number = {28},
pages = {5212-5224},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Muise, Robert; Mahalanobis, Abhijit Tracking targets in multiplexed imagery Proceeding SPIE, 7468 , 2009. BibTeX @proceedings{Muise2009,
title = {Tracking targets in multiplexed imagery},
author = {Robert Muise and Abhijit Mahalanobis},
year = {2009},
date = {2009-08-01},
volume = {7468},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
Mahalanobis, Abhijit; Muise, Robert Object Specific Image Reconstruction using a Compressive Sensing Architecture for Application in Surveillance Systems Journal Article IEEE Transactions on Aerospace and Electronic Systems, 45 (3), pp. 1167-1180, 2009. BibTeX @article{Mahalanobis2009b,
title = {Object Specific Image Reconstruction using a Compressive Sensing Architecture for Application in Surveillance Systems},
author = {Abhijit Mahalanobis and Robert Muise },
year = {2009},
date = {2009-07-01},
journal = {IEEE Transactions on Aerospace and Electronic Systems},
volume = {45},
number = {3},
pages = {1167-1180},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Douglass, K M; Kohlgraf-Owens, T; Ellis, J; Toma, C; Mahalanobis, Abhijit; Dogariu, Aristide Expanded Field of View Using Polarization Multiplexing Proceeding OSA Optics & Photonics Technical Digest, 2009. BibTeX @proceedings{Douglass2009,
title = {Expanded Field of View Using Polarization Multiplexing},
author = {K.M. Douglass and T. Kohlgraf-Owens and J. Ellis and C. Toma and Abhijit Mahalanobis and Aristide Dogariu},
year = {2009},
date = {2009-02-01},
publisher = {OSA Optics & Photonics Technical Digest},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
2008
|
Mahalanobis, Abhijit; Neifeld, Mark; Kumar, Vijaya B V K; Haberfelde, Tom Design and analysis of a coded aperture imaging system with engineered PSFs for wide field of view imaging Proceeding SPIE, 7096 , 2008. BibTeX @proceedings{Mahalanobis2008b,
title = {Design and analysis of a coded aperture imaging system with engineered PSFs for wide field of view imaging},
author = {Abhijit Mahalanobis and Mark Neifeld and B.V.K. Vijaya Kumar and Tom Haberfelde},
year = {2008},
date = {2008-08-01},
volume = {7096},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
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Mahalanobis, Abhijit Object Specific Reconstruction using Compressively Sensed Data Workshop Information Optics, Annecy, France, Journal of Physics, 2008. BibTeX @workshop{Mahalanobis2008,
title = {Object Specific Reconstruction using Compressively Sensed Data},
author = {Abhijit Mahalanobis},
year = {2008},
date = {2008-06-01},
publisher = {Information Optics, Annecy, France, Journal of Physics},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
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Mahalanobis, Abhijit Multi-frame adaptive object recognition Proceeding SPIE, 6967 , 2008. BibTeX @proceedings{Mahalanobis2008c,
title = {Multi-frame adaptive object recognition},
author = {Abhijit Mahalanobis},
year = {2008},
date = {2008-05-01},
volume = {6967},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
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Brady, David; Dogariu, Aristide; Fiddy, Michael; Mahalanobis, Abhijit Computational optical sensing and imaging: introduction to the feature issue Journal Article Applied Optics, 47 (10), 2008. BibTeX @article{Brady2008,
title = {Computational optical sensing and imaging: introduction to the feature issue},
author = {David Brady and Aristide Dogariu and Michael Fiddy and Abhijit Mahalanobis},
year = {2008},
date = {2008-04-01},
journal = {Applied Optics},
volume = {47},
number = {10},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Mahalanobis, Abhijit; Reyner, C; Haberfelde, T; Neifeld, Mark; Kumar, Vijaya B V K Recent developments in coded aperture multiplexed imaging systems Proceeding SPIE, 6978 , 2008. BibTeX @proceedings{Mahalanobis2008d,
title = {Recent developments in coded aperture multiplexed imaging systems},
author = {Abhijit Mahalanobis and C. Reyner and T. Haberfelde and Mark Neifeld and B.V.K. Vijaya Kumar},
year = {2008},
date = {2008-04-01},
volume = {6978},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
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Muise, Robert; Mahalanobis, Abhijit Computational sensing algorithms for image reconstruction and the detection of moving objects in multiplexed imaging systems Proceeding SPIE, 6977 , 2008. BibTeX @proceedings{Muise2008,
title = {Computational sensing algorithms for image reconstruction and the detection of moving objects in multiplexed imaging systems},
author = {Robert Muise and Abhijit Mahalanobis},
year = {2008},
date = {2008-03-01},
volume = {6977},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
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Ragothaman, Pradeep; Mahalanobis, Abhijit; Muise, Robert; Mikhael, Wasfy A performance comparison of the transform domain Rayleigh quotient quadratic correlation filter (TDRQQCF) approach to the regularized RQQCF Proceeding SPIE, 6967 , 2008. BibTeX @proceedings{Ragothaman2008,
title = {A performance comparison of the transform domain Rayleigh quotient quadratic correlation filter (TDRQQCF) approach to the regularized RQQCF},
author = {Pradeep Ragothaman and Abhijit Mahalanobis and Robert Muise and Wasfy Mikhael},
year = {2008},
date = {2008-03-01},
volume = {6967},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
|
2007
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Mahalanobis, Abhijit; Kumar, Vijaya B V K Multi-frame filtering techniques for the detection and recognition of moving objects Proceeding SPIE, 6736 , 2007. BibTeX @proceedings{Mahalanobis2007,
title = {Multi-frame filtering techniques for the detection and recognition of moving objects},
author = {Abhijit Mahalanobis and B.V.K. Vijaya Kumar},
year = {2007},
date = {2007-10-01},
volume = {6736},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
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Mahalanobis, Abhijit; Muise, Robert Object specific compressed sensing Proceeding SPIE, 2007. BibTeX @proceedings{Mahalanobis2007d,
title = {Object specific compressed sensing},
author = {Abhijit Mahalanobis and Robert Muise},
year = {2007},
date = {2007-10-01},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
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Mahalanobis, Abhijit; Reyner, C; Patel, H; Haberfelde, T; Brady, David; Neifeld, Mark; Kumar, Vijaya B V K; Rogers, Stanley IR performance study of an adaptive coded aperture "diffractive imaging" system employing MEMS "eyelid shutter" technologies Proceeding SPIE, 6714 , 2007. BibTeX @proceedings{Mahalanobis2007c,
title = {IR performance study of an adaptive coded aperture "diffractive imaging" system employing MEMS "eyelid shutter" technologies},
author = {Abhijit Mahalanobis and C. Reyner and H. Patel and T. Haberfelde and David Brady and Mark Neifeld and B.V.K. Vijaya Kumar and Stanley Rogers},
year = {2007},
date = {2007-09-01},
volume = {6714},
publisher = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
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Ragothaman, Pradeep; Mikhael, Wasfy; Muise, Robert; Mahalanobis, Abhijit Automatic target recognition employing signal compression Journal Article Applied Optics, 46 (21), pp. 4702-4711, 2007. BibTeX @article{Ragothaman2007,
title = {Automatic target recognition employing signal compression},
author = {Pradeep Ragothaman and Wasfy Mikhael and Robert Muise and Abhijit Mahalanobis},
year = {2007},
date = {2007-07-01},
journal = {Applied Optics},
volume = {46},
number = {21},
pages = {4702-4711},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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