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» Detecting Human Motion with Support Vector Machines
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ICIP
2001
IEEE
14 years 9 months ago
A new perceived motion based shot content representation
Motion information is an important cue for human to perceive video content. However, it is hard to use motion in video retrieval due to the lack of effective representation. In th...
Yu-Fei Ma, HongJiang Zhang
ICMCS
2007
IEEE
406views Multimedia» more  ICMCS 2007»
14 years 2 months ago
3D Haar-Like Features for Pedestrian Detection
One basic observation for pedestrian detection in video sequences is that both appearance and motion information are important to model the moving people. Based on this observatio...
Xinyi Cui, Yazhou Liu, Shiguang Shan, Xilin Chen, ...
MLMI
2005
Springer
14 years 1 months ago
Dominance Detection in Meetings Using Easily Obtainable Features
We show that, using a Support Vector Machine classifier, it is possible to determine with a 75% success rate who dominated a particular meeting on the basis of a few basic feature...
Rutger Rienks, Dirk Heylen
CVPR
2004
IEEE
14 years 9 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
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 pr...
Ankur Agarwal, Bill Triggs
ICCV
2003
IEEE
14 years 9 months ago
Constraining Human Body Tracking
Our paper addresses the problem of enforcing constraints in human body tracking. A projection technique is derived to impose kinematic constraints on independent multi-body motion...
David Demirdjian, Teresa Ko, Trevor Darrell