@article {12529,
	title = {Robust human detection under occlusion by integrating face and person detectors},
	journal = {Proceedings of the Third International Conference on Advances in Biometrics},
	year = {2009},
	month = {2009///},
	pages = {970 - 979},
	abstract = {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{\textquoteright} 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.
},
	author = {Schwartz, W.R. and Gopalan,R. and Chellapa, Rama and Davis, Larry S.}
}
