Automatic video object tracking using a mosaic-based background

Authors:
Young-Kee Jung;Kyu-Won Lee;Dong-Min Woo;Yo-Sung Ho
Affiliations:
Honam University, Gwangju, Korea;Daejeon University, Daejeon, Korea;Myongji University, Yongin, Korea;Gwangju Institute of Science and Technology, Gwangju, Korea
Venue:
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Year:
2004

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Abstract

In this paper, we propose a panorama-based object tracking scheme for wide-view surveillance systems that can detect and track moving objects with a pan-tilt camera. A dynamic mosaic of the background is progressively integrated in a single image using the camera motion information. For the camera motion estimation, we calculate affine motion parameters for each frame sequentially with respect to its previous frame. The camera motion is robustly estimated on the background by discriminating between background and foreground regions. The modified block-based motion estimation is used to separate the background region. Each moving object is segmented by image subtraction from the mosaic background. The proposed tracking system has demonstrated good performance for several test video sequences.