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The Korea Institute of Information and Commucation Engineering 2004; 2(1): 52-57

Published online March 1, 2004

© Korea Institute of Information and Communication Engineering

Active Object Tracking using Image Mosaic Background

Jung, Young-Kee;Woo, Dong-Min;

Department of Computer Engineering, Honam University, Department of Information Engineering, Meongji University

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.

Keywords Active Object Tracking, Image Mosaic, Camera Motion Estimation, Object Detection

Article

The Korea Institute of Information and Commucation Engineering 2004; 2(1): 52-57

Published online March 1, 2004

Copyright © Korea Institute of Information and Communication Engineering.

Active Object Tracking using Image Mosaic Background

Jung, Young-Kee;Woo, Dong-Min;

Department of Computer Engineering, Honam University, Department of Information Engineering, Meongji University

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.

Keywords: Active Object Tracking, Image Mosaic, Camera Motion Estimation, Object Detection

JICCE
Sep 30, 2024 Vol.22 No.3, pp. 173~266

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Journal of Information and Communication Convergence Engineering Jouranl of information and
communication convergence engineering
(J. Inf. Commun. Converg. Eng.)

eISSN 2234-8883
pISSN 2234-8255