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» Detecting and Tracking Moving Objects for Video Surveillance
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FGR
2006
IEEE
112views Biometrics» more  FGR 2006»
15 years 7 months ago
Self Correcting Tracking for Articulated Objects
Hand detection and tracking play important roles in human computer interaction (HCI) applications, as well as surveillance. We propose a self initializing and self correcting trac...
M. Baris Caglar, Niels da Vitoria Lobo
CVPR
2008
IEEE
16 years 3 months ago
Multi-object shape estimation and tracking from silhouette cues
This paper deals with the 3D shape estimation from silhouette cues of multiple moving objects in general indoor or outdoor 3D scenes with potential static obstacles, using multipl...
Li Guan, Jean-Sébastien Franco, Marc Pollef...
CVPR
2006
IEEE
16 years 3 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
CVPR
2006
IEEE
16 years 3 months ago
Counting Crowded Moving Objects
In its full generality, motion analysis of crowded objects necessitates recognition and segmentation of each moving entity. The difficulty of these tasks increases considerably wi...
Vincent Rabaud, Serge Belongie
AIPR
2008
IEEE
15 years 8 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