Study of low-contrast tracking based on wavelet transform

Ke-bao Xu; Rui-ying Liu; Ming-jun Li; Qing-liang Zeng

doi:10.1117/12.676484

23 February 2006 Study of low-contrast tracking based on wavelet transform

Ke-bao Xu, Rui-ying Liu, Ming-jun Li, Qing-liang Zeng

Proceedings Volume 6150, 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 61503M (2006) https://doi.org/10.1117/12.676484
Event: 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2005, Xian, China

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.

Citation Download Citation

Ke-bao Xu, Rui-ying Liu, Ming-jun Li, and Qing-liang Zeng "Study of low-contrast tracking based on wavelet transform", Proc. SPIE 6150, 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 61503M (23 February 2006); https://doi.org/10.1117/12.676484

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