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» Tracking with Dynamic Hidden-State Shape Models
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99
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FGR
2000
IEEE
128views Biometrics» more  FGR 2000»
15 years 1 months ago
Understanding Purposeful Human Motion
Human motion can be understood on many levels. The most basic level is the notion that humans are collections of things that have predictable visual appearance. Next is the notion...
Christopher Richard Wren, Brian P. Clarkson, Alex ...
ICPR
2000
IEEE
15 years 1 months ago
Skin Detection in Video under Changing Illumination Conditions
Techniques for color-based tracking of faces or hands often assume a static skin color model. However, skin color perceived by a camera can change when lighting changes. In common...
Maricor Soriano, Birgitta Martinkauppi, Sami Huovi...
PAMI
2006
358views more  PAMI 2006»
14 years 9 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
89
Voted
MM
2009
ACM
252views Multimedia» more  MM 2009»
15 years 4 months ago
Localizing volumetric motion for action recognition in realistic videos
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...
Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang