Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes

Authors:
Tao Yang;Stan Z. Li;Quan Pan;Jing Li
Affiliations:
Northwestern Polytechnical University;Chinese Academy of Sciences;Northwestern Polytechnical University;Northwestern Polytechnical University
Venue:
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Year:
2005

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Abstract

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 x 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.