Detection of Armed Robbery

We propose a method by which to analyze silhouettes and recognize a classic holdup position of armed robbery. In such a situation, one actor levels his or her arm while another actor raises his or her arm(s) into the air. We attempt this by first segmenting the skeleton of the silhouette into separate pieces of the body, then identifying the positions of the arms.

 

Related Publication

Jaime Dever, Niels da Vitoria Lobo, and Mubarak Shah, Automatic Visual Recognition of Armed Robbery, International Conference on Pattern Recognition, Quebec City, Quebec, Aug 11-15, 2002.

Power point presentation is here