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ECCV
1998
Springer
14 years 9 months ago
Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
Philip H. S. Torr, Andrew Zisserman
SSDBM
2003
IEEE
111views Database» more  SSDBM 2003»
14 years 25 days ago
Performance Evaluation of Spatio-temporal Selectivity Estimation Techniques
— Many novel spatio-temporal applications deal with moving objects. In such environments, a database typically maintains the initial position and the moving function for each obj...
Marios Hadjieleftheriou, George Kollios, Vassilis ...
PAMI
2008
275views more  PAMI 2008»
13 years 7 months ago
Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles
Abstract-- We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. Our approac...
Bastian Leibe, Konrad Schindler, Nico Cornelis, Lu...
DASFAA
2008
IEEE
116views Database» more  DASFAA 2008»
13 years 9 months ago
MBR Models for Uncertainty Regions of Moving Objects
The increase in the advanced location based services such as traffic coordination and management necessitates the need for advanced models tracking the positions of Moving Objects ...
Shayma Alkobaisi, Wan D. Bae, Seon Ho Kim, Byunggu...
CVPR
2006
IEEE
14 years 9 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