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Proceedings Paper

Study of low-contrast tracking based on wavelet transform
Author(s): Ke-bao Xu; Rui-ying Liu; Ming-jun Li; Qing-liang Zeng
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Paper Abstract

Infrared tracking means to sense and automatically track an object on the base of various infrared reflective sensors. To enhance the precision of tracking in low contrast and improve the ability of withstanding outside natural lights or diversified noises, this article puts wavelet analysis into the signal-processing of low contrast tracking. As the wavelet transform can carry out non-linear filter according to different features of signal and noise, it is of high time(position) resolution when improving the Signal-to-Noise Ratio (SNR) and is insusceptible to the form of signal,thus enhances the reliability of tracking. Emulation result shows that the effect of wavelet analysis picking faint signal from noise has great advantage over traditional filtering methods.

Paper Details

Date Published: 23 February 2006
PDF: 6 pages
Proc. SPIE 6150, 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 61503M (23 February 2006); doi: 10.1117/12.676484
Show Author Affiliations
Ke-bao Xu, Shandong Univ. of Science and Technology (China)
Rui-ying Liu, Shandong Univ. of Science and Technology (China)
Ming-jun Li, Shandong Univ. of Science and Technology (China)
Qing-liang Zeng, Shandong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6150:
2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Xun Hou; Jiahu Yuan; James C. Wyant; Hexin Wang; Sen Han, Editor(s)

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