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Proceedings Paper

High-accuracy target tracking algorithm based on deviation vector of the local window grey center
Author(s): Zhenkang Shen; Mingsheng Zhao
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Paper Abstract

The paper presents a new high-accuracy automatic target tracking algorithm which does not involve image segmentation. The method constructs a function which is based on local gray- level information. The function can evaluate the deviation vector between the target's center and the tracking window center and then automatically adjust the tracking window iteratively towards the target's center to achieve automatic target tracking. The algorithm can achieve high tracking accuracy. It is not sensitive to noise and is not restrained by the movement pattern of the target. As the method does not use segment processing, it provides better real- time quality, a short processing period, and is very easily implemented. The implementation by the microcomputer image processing system demonstrates that the method is especially practical for infrared images and works well for infrared images in complex environment.

Paper Details

Date Published: 1 August 1991
PDF: 12 pages
Proc. SPIE 1482, Acquisition, Tracking, and Pointing V, (1 August 1991); doi: 10.1117/12.45708
Show Author Affiliations
Zhenkang Shen, Changsha Institute of Technology (China)
Mingsheng Zhao, Changsha Institute of Technology (China)


Published in SPIE Proceedings Vol. 1482:
Acquisition, Tracking, and Pointing V
Michael K. Masten; Larry A. Stockum, Editor(s)

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