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» Tracking Large Variable Numbers of Objects in Clutter
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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
IVC
2007
173views more  IVC 2007»
13 years 7 months ago
Robust tracking with motion estimation and local Kernel-based color modeling
Visual tracking has been a challenging problem in computer vision over the decades. The applications of visual tracking are far-reaching, ranging from surveillance and monitoring ...
R. Venkatesh Babu, Patrick Pérez, Patrick B...
IJCV
2008
188views more  IJCV 2008»
13 years 7 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
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...
AIPR
2000
IEEE
14 years 3 days ago
Moving Object Tracking in Video
The advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compare...
Yiwei Wang, John F. Doherty, Robert E. Van Dyck