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Proceedings Paper

A multi-object detection and tracking method in wireless video sensor networks
Author(s): Zheng Chu; Jing Zhang; Li Zhuo
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Paper Abstract

Most multi-object detection and tracking techniques suffer from the well-known "multi-object occlusion" problem. The abundant nodes of wireless video sensor networks (WVSNs) can be utilized to solve the problem, and the video nodes in WVSN have limited calculation capability and energy. In order to achieve effective multi-object tracking using WVSN, the main contributions of our proposed method are that: (1) the limits of field of view (FOV) of every video nodes are utilized to establish the consistent labeling of the objects in different views. (2) Mobile Agent is employed to communicate among network nodes, so the objects are assigned correct labels after multi-object occlusion. The performance of the approach has been demonstrated on real-world and the experimental results show that the proposed method is effective for resolving multi-object occlusions and meets the requirement of WVSN.

Paper Details

Date Published: 8 June 2012
PDF: 7 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83343L (8 June 2012); doi: 10.1117/12.966371
Show Author Affiliations
Zheng Chu, Beijing Univ. of Technology (China)
Jing Zhang, Beijing Univ. of Technology (China)
Li Zhuo, Beijing Univ. of Technology (China)

Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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