TY - JOUR T1 - Robust human detection under occlusion by integrating face and person detectors JF - Proceedings of the Third International Conference on Advances in Biometrics Y1 - 2009 A1 - Schwartz, W.R. A1 - Gopalan,R. A1 - Chellapa, Rama A1 - Davis, Larry S. AB - Human detection under occlusion is a challenging problemin computer vision. We address this problem through a framework which integrates face detection and person detection. We first investigate how the response of a face detector is correlated with the response of a person detector. From these observations, we formulate hypotheses that capture the intuitive feedback between the responses of face and person detectors and use it to verify if the individual detectors’ outputs are true or false. We illustrate the performance of our integration framework on challeng- ing images that have considerable amount of occlusion, and demonstrate its advantages over individual face and person detectors. ER -