TY - GEN
T1 - Simultaneous appearance modeling and segmentation for matching people under occlusion
AU - Lin, Zhe
AU - Davis, Larry S.
AU - Doermann, David
AU - DeMenthon, Daniel
PY - 2007
Y1 - 2007
N2 - We describe an approach to segmenting foreground regions corresponding to a group of people into individual humans. Given background subtraction and ground plane homography, hierarchical parttemplate matching is employed to determine a reliable set of human detection hypotheses, and progressive greedy optimization is performed to estimate the best configuration of humans under a Bayesian MAP framework. Then, appearance models and segmentations are simultaneously estimated in an iterative sampling-expectation paradigm. Each human appearance is represented by a nonparametric kernel density estimator in a joint spatial-color space and a recursive probability update scheme is employed for soft segmentation at each iteration. Additionally, an automatic occlusion reasoning method is used to determine the layered occlusion status between humans. The approach is evaluated on a number of images and videos, and also applied to human appearance matching using a symmetric distance measure derived from the Kullback-Leiber divergence.
AB - We describe an approach to segmenting foreground regions corresponding to a group of people into individual humans. Given background subtraction and ground plane homography, hierarchical parttemplate matching is employed to determine a reliable set of human detection hypotheses, and progressive greedy optimization is performed to estimate the best configuration of humans under a Bayesian MAP framework. Then, appearance models and segmentations are simultaneously estimated in an iterative sampling-expectation paradigm. Each human appearance is represented by a nonparametric kernel density estimator in a joint spatial-color space and a recursive probability update scheme is employed for soft segmentation at each iteration. Additionally, an automatic occlusion reasoning method is used to determine the layered occlusion status between humans. The approach is evaluated on a number of images and videos, and also applied to human appearance matching using a symmetric distance measure derived from the Kullback-Leiber divergence.
UR - https://www.scopus.com/pages/publications/38149051603
U2 - 10.1007/978-3-540-76390-1_40
DO - 10.1007/978-3-540-76390-1_40
M3 - Conference contribution
SN - 9783540763895
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 404
EP - 413
BT - Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings
PB - Springer Verlag
T2 - 8th Asian Conference on Computer Vision, ACCV 2007
Y2 - 18 November 2007 through 22 November 2007
ER -