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Proceedings Paper

Multiple-object tracking under occlusion conditions
Author(s): Young-Kee Jung; Yo-Sung Ho
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Paper Abstract

This paper describes an algorithm for multiple object tracking that takes a new occlusion reasoning approach. In order to track individual objects under occlusion conditions, we design a 2D token-based tracking system using Kalman filtering. The proposed tracking system consists of two parts: object detection and tracking, and occlusion reasoning using feature matching. The object detection and tracking part finds moving objects from their background. For object detection, we develop an adaptive background update technique. By tracking individual objects with segmentation information, we generate motion trajectories. Computer simulation of the proposed scheme demonstrates its robustness to various occlusion conditions for several test sequences.

Paper Details

Date Published: 30 May 2000
PDF: 11 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386706
Show Author Affiliations
Young-Kee Jung, Honam Univ. (South Korea)
Yo-Sung Ho, Kwangju Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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