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ICPR
2004
IEEE
14 years 8 months ago
Probabilistic Classification Between Foreground Objects and Background
Tracking of deformable objects like humans is a basic operation in many surveillance applications. Objects are detected as they enter the field of view of the camera and they are ...
Paul J. Withagen, Klamer Schutte, Frans C. A. Groe...
AIPR
2008
IEEE
14 years 2 months ago
Intelligent multimodal and hyperspectral sensing for real-time moving target tracking
—Real time moving target tracking and identification with hyperspectral imagery is still very challenging with conventional sensors and algorithms. The increased information cont...
Tao Wang, Zhigang Zhu
CVPR
2007
IEEE
14 years 9 months ago
Shadow Removal in Front Projection Environments Using Object Tracking
When an occluding object, such as a person, stands between a projector and a display surface, a shadow results. We can compensate by positioning multiple projectors so they produc...
Samuel Audet, Jeremy R. Cooperstock
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...
ICMCS
2006
IEEE
111views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Integration of Background Modeling and Object Tracking
Background model and tracking became critical components for many vision-based applications. Typically, background modeling and object tracking are mutually independent in many ap...
Yu-Ting Chen, Chu-Song Chen, Yi-Ping Hung