NDLI: A spatio-temporal filtering method for motion estimation

Content Provider	IEEE Xplore Digital Library
Author	Wang Rui Zhao Yan Tang Yujun Yuan Yan
Copyright Year	2011
Description	Author affiliation: The School of Instrumentation Science and Opto-electronics Engineering Laboratory of Precision Opto-mechatronics Technology, Ministry of Education, Beihang University Beijing 100191, China (Wang Rui; Zhao Yan; Tang Yujun; Yuan Yan)
Abstract	Motion estimation (ME) from image sequences is of primary importance for applications like target tracking, velocity measurement and vision guidance. By the fact that the wavelet transform has the ability to handle the signals with the non-stationary, time-varying properties, a novel spatio-temporal filtering approach based on the Continuous Wavelet Transform (CWT) to realize the motion selectivity is presented. The Fourier analysis of the signal in one dimension of space and time as well as the wavenumber-frequency domain coverage of the Morlet wavelet for different parameters are adopted to provide the strategy for motion estimation and tracking target which moves in a relatively simple mode. Experiments take place with real video sequences to demonstrate that our method has the advantage of being robust to illumination variations, noise, and being computationally efficient.
Starting Page	830
Ending Page	834
File Size	2084268
Page Count	5
File Format	PDF
ISBN	9781424497171
e-ISBN	9781424497188
DOI	10.1109/ICCSE.2011.6028766
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-03
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Continuous wavelet transforms Motion estimation Continuous wavelet transform Spatio-temporal filter Time frequency analysis Educational institutions Image sequences Motion selectivity
Content Type	Text
Resource Type	Article

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