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Title: The accurate extraction and tracking of moving objects for video surveillance
Authors: Zheng, JB
Feng, DD
Siu, WC 
Zhang, YN
Wang, XY
Zhao, RC
Keywords: Moving objects extracting
Objects tracking
Video surveillance
Issue Date: 2002
Source: Proceedings of 2002 International Conference on Machine Learning and Cybernetics, 2002, v. 4, p. 1909-1913 How to cite?
Abstract: In this paper, an accurate extraction approach and an effective tracking algorithm for moving objects are proposed. We first describe our extraction algorithm, which can extract objects precisely by using the mixed differences between adaptive background estimation and the two adjacent frames. Then we design a tracking algorithm, in which we use several IIR filters to predict the moving objects position and improve efficiency of the objects matching by using the moving objects temporal image and extracting results. The proposed tracking algorithm can track the objects accurately even if the objects are in the process of acceleration and have slight deformations. The efficiency of the proposed algorithms is demonstrated by several experiments given in this paper.
Description: Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, 4-5 November 2002
ISBN: 0-7803-7508-4
Appears in Collections:Conference Paper

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