Detection and tracking of low contrast targets based on integer-type lifting wavelet transform

Lirong Wang; Xuanguo Shen; Yanjie Wang

doi:10.1117/12.667935

2 February 2006 Detection and tracking of low contrast targets based on integer-type lifting wavelet transform

Lirong Wang, Xuanguo Shen, Yanjie Wang

Proceedings Volume 6031, ICO20: Remote Sensing and Infrared Devices and Systems; 60310J (2006) https://doi.org/10.1117/12.667935
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China

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.

Citation Download Citation

Lirong Wang, Xuanguo Shen, and Yanjie Wang "Detection and tracking of low contrast targets based on integer-type lifting wavelet transform", Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 60310J (2 February 2006); https://doi.org/10.1117/12.667935

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