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MVA
2002
149views Computer Vision» more  MVA 2002»
13 years 9 months ago
3-Dimensional Tracking of Multiple Object Motions from Multi-view Images by Mixed-state CONDENSATION Algorithm
In this paper, we propose an efficient method for tracking multiple objects, which deals with occlusion situations in an image. We use Shape from silhouettes method to reconstruct...
Koichiro Deguchi, Koji Hamasaki, Taira Nakajima, T...
CVPR
2008
IEEE
14 years 12 months ago
Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects
This paper presents a novel approach for tracking humans and objects under severe occlusion. We introduce a new paradigm for multiple hypotheses tracking, observe-and-explain, as ...
Michael S. Ryoo, Jake K. Aggarwal
WACV
2005
IEEE
14 years 3 months ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
MVA
2008
131views Computer Vision» more  MVA 2008»
13 years 9 months ago
Frame-level temporal calibration of video sequences from unsynchronized cameras
This paper describes a new method for temporally calibrating multiple cameras by image processing operations. Existing multi-camera algorithms assume that the input sequences are ...
Senem Velipasalar, Wayne Wolf
AVSS
2007
IEEE
14 years 4 months ago
Classifying and tracking multiple persons for proactive surveillance of mass transport systems
We describe a pedestrian classification and tracking system that is able to track and label multiple people in an outdoor environment such as a railway station. The features sele...
Suyu Kong, Conrad Sanderson, Brian C. Lovell