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» Robust Occlusion Handling in Object Tracking
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ICAPR
2009
Springer
14 years 2 months ago
Saving Electrical Power in a Surveillance Environment
—This paper proposes a smart video surveillance system with real-time moving object (primarily human) detection and identification for solving the problem of excessive power con...
Souvik Sen, Amit Kumar Das, Shyama Prosad Chowdhur...
PR
2002
103views more  PR 2002»
13 years 7 months ago
Extracting moving shapes by evidence gathering
Many approaches can track objects moving in sequences of images but can su er in occlusion and noise, and often require initialisation. These factors can be handled by techniques ...
Michael G. Grant, Mark S. Nixon, Paul H. Lewis
IJVR
2008
208views more  IJVR 2008»
13 years 6 months ago
A View-based Multiple Objects Tracking and Human Action Recognition for Interactive Virtual Environments
As environments become smart in accordance with advances in ubiquitous computing technology, researchers are struggling to satisfy users' diverse and sophisticated demands. Th...
Jin Choi, Yong-il Cho, Kyusung Cho, Su-jung Bae, H...
PR
2007
184views more  PR 2007»
13 years 7 months ago
Accurate object contour tracking based on boundary edge selection
In this paper, a novel method for accurate subject tracking, by selecting only tracked subject boundary edges in a video stream with a changing background and moving camera, is pr...
Myung-Cheol Roh, Tae-Yong Kim, Jihun Park, Seong-W...
CVPR
2005
IEEE
14 years 9 months ago
A Statistical Field Model for Pedestrian Detection
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
Ying Wu, Ting Yu, Gang Hua