Real-time multiple objects tracking with occlusion handling in dynamic scenes

This work presents a real-time system for multiple objects tracking in dynamic scenes. A unique characteristic of the system is its ability to cope with long-duration and complete occlusion without a prior knowledge about the shape or motion of objects. The system produces good segment and tracking...

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Bibliographic Details
Published in2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 1; pp. 970 - 975 vol. 1
Main Authors Tao Yang, Quan Pan, Jing Li, Li, S.Z.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Automatic control
Automation
Bayesian methods
Cameras
Computer vision
Layout
Object detection
Object segmentation
Pattern recognition
Shape
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Summary:This work presents a real-time system for multiple objects tracking in dynamic scenes. A unique characteristic of the system is its ability to cope with long-duration and complete occlusion without a prior knowledge about the shape or motion of objects. The system produces good segment and tracking results at a frame rate of 15-20 fps for image size of 320 /spl times/ 240, as demonstrated by extensive experiments performed using video sequences under different conditions indoor and outdoor with long-duration and complete occlusions in changing background.
ISBN:0769523722
9780769523729
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2005.292