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» Efficient Extraction of Human Motion Volumes by Tracking
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MVA
2002
186views Computer Vision» more  MVA 2002»
13 years 8 months ago
Identifying Body Parts of Multiple People in Multi-Camera Images
In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a...
Masafumi Tominaga, Hitoshi Hongo, Hiroyasu Koshimi...
ICCV
2007
IEEE
14 years 10 months ago
Real-time Body Tracking Using a Gaussian Process Latent Variable Model
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
Shaobo Hou, Aphrodite Galata, Fabrice Caillette, N...
ICCV
2003
IEEE
14 years 10 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
ICMCS
2010
IEEE
176views Multimedia» more  ICMCS 2010»
13 years 6 months ago
LCD motion blur modeling and simulation
Liquid crystal display (LCD) devices are well known to have slow response due to the physical limitations of the liquid crystals. Therefore, fast moving objects in a scene are oft...
Stanley H. Chan, Truong Q. Nguyen
FGR
2002
IEEE
212views Biometrics» more  FGR 2002»
14 years 1 months ago
Motion-Based Recognition of People in EigenGait Space
A motion-based, correspondence-free technique for human gait recognition in monocular video is presented. We contend that the planar dynamics of a walking person are encoded in a ...
Chiraz BenAbdelkader, Larry S. Davis, Ross Cutler