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» Motion Strategies for Surveillance
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CVPR
2007
IEEE
14 years 10 months ago
Multimodal Tracking for Smart Videoconferencing and Video Surveillance
Many applications require the ability to track the 3-D motion of the subjects. We build a particle filter based framework for multimodal tracking using multiple cameras and multip...
Dmitry N. Zotkin, Vikas C. Raykar, Ramani Duraiswa...
ICPR
2008
IEEE
14 years 2 months ago
Robust estimation of foreground in surveillance videos by sparse error estimation
Frames of videos with static background and dynamic foreground can be viewed as samples of signals that vary slowly in time with sparse corruption caused by foreground objects. We...
Mert Dikmen, Thomas S. Huang
CVPR
1999
IEEE
14 years 7 days ago
Detecting and Tracking Moving Objects for Video Surveillance
We address the problem of detection and tracking of moving objects in a video stream obtained from a moving airborne platform. The proposed method relies on a graph representation...
Isaac Cohen, Gérard G. Medioni
IJCV
2000
162views more  IJCV 2000»
13 years 7 months ago
Visual Surveillance for Moving Vehicles
An overview is given of a novel vision system for locating, recognising and tracking multiple vehicles, using a single monocular camera mounted on a moving vehicle1 . 3D model-bas...
James M. Ferryman, Stephen J. Maybank, Anthony D. ...
IVC
2002
185views more  IVC 2002»
13 years 7 months ago
Path detection in video surveillance
This paper addresses the problem of automatically extracting frequently used pedestrian pathways from video sequences of natural outdoor scenes. Path models are learnt from the ac...
Dimitrios Makris, Tim Ellis