What's in the eyes for attentive input
Communications of the ACM
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
People detection and tracking using stereo vision and color
Image and Vision Computing
Adaptive multi-modal stereo people tracking without background modelling
Journal of Visual Communication and Image Representation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Tracking people in video camera images using neural networks
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
People detection and tracking through stereo vision for human-robot interaction
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
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This paper describes how to detect human posture and upperbody parts using overhead narrow-baseline stereo cameras.This information is extracted to understand retail customerbehavior while shopping. We propose an approachto detect body posture without using an explicit 3D humanmodel. The proposed method is based on a 3D silhouette, asilhouette-Ghost of a person, that is constructed from a 2Dsilhouette. The 2D silhouette is detected by color and disparitybackground subtraction. Once the silhouette-Ghostis generated, the head and shoulder regions are identifiedusing the topological structure of human body which constrainsthe relative position of each body part. A shape histogram,the distribution of relative positions of points ona 3D silhouette, is introduced to estimate the posture andbody parts.