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Discrete Dynamics in Nature and Society
Volume 2014 (2014), Article ID 976574, 11 pages
http://dx.doi.org/10.1155/2014/976574
Research Article

Moving Target Detection and Active Tracking with a Multicamera Network

1Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100191, China
2Digital Navigation Center, Beihang University, Beijing 100191, China
3School of Aeronautical Science and Engineering, Beihang University, Beijing 100191, China

Received 16 January 2014; Revised 7 April 2014; Accepted 7 April 2014; Published 30 April 2014

Academic Editor: Wei Lin

Copyright © 2014 Long Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We propose a systematic framework for Intelligence Video Surveillance System (IVSS) with a multicamera network. The proposed framework consists of low-cost static and PTZ cameras, target detection and tracking algorithms, and a low-cost PTZ camera feedback control algorithm based on target information. The target detection and tracking is realized by fixed cameras using a moving target detection and tracking algorithm; the PTZ camera is manoeuvred to actively track the target from the tracking results of the static camera. The experiments are carried out using practical surveillance system data, and the experimental results show that the systematic framework and algorithms presented in this paper are efficient.