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Proceedings Paper

Detection and tracking of low contrast targets based on integer-type lifting wavelet transform
Author(s): Lirong Wang; Xuanguo Shen; Yanjie Wang
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Paper Abstract

This paper presents a method for detecting and tracking of low contrast targets. The new method uses an integer-type lifting wavelet transform and the proposed method doesn't extract patterns similar to a template, but finds parts having the same feature in the targets. We utilize one of integer-type lifting wavelet transforms that contains rounding-off arithmetic for mapping integers to integers. The lifting term contains parameters that are learned by using standard training images of targets. We assume that the targets include many high frequency components. In order to obtain the features of the targets, the lifting parameters are determined by a condition that high frequency components are vanished in wavelet transform. But the condition cannot be determined by the parameters wholly. So, we put an additional condition of minimizing the squared sum of the lifting parameters. The advantage of using integer-type wavelet transform is simple and robust to noise. Simulation illustrated the approach can detect and track the moving targets in dim background. We would test our algorithm in the TV tracking system.

Paper Details

Date Published: 2 February 2006
PDF: 7 pages
Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 60310J (2 February 2006); doi: 10.1117/12.667935
Show Author Affiliations
Lirong Wang, Changchun Univ. of Science and Technology (China)
Jilin Univ. (China)
Xuanguo Shen, Jilin Univ. (China)
Yanjie Wang, Changchun Institute of Optics, Fine Mechanics and Physics (China)

Published in SPIE Proceedings Vol. 6031:
ICO20: Remote Sensing and Infrared Devices and Systems
Jingshan Jiang; O. Yu. Nosach; Jiaqi Wang, Editor(s)

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