Title :
A spatio-temporal filtering method for motion estimation
Author :
Wang Rui ; Zhao Yan ; Tang Yujun ; Yuan Yan
Author_Institution :
Lab. of Precision Opto-Mechatron. Technol., Beihang Univ., Beijing, China
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.
Keywords :
Fourier analysis; filtering theory; image sequences; motion estimation; spatiotemporal phenomena; target tracking; wavelet transforms; Fourier analysis; Morlet wavelet; continuous wavelet transform; image sequences; motion estimation; motion selectivity; nonstationary time varying properties; spatiotemporal filtering approach; target tracking; velocity measurement; video sequences; vision guidance; wavenumber-frequency domain coverage; Continuous wavelet transforms; Educational institutions; Image sequences; Motion estimation; Time frequency analysis; continuous wavelet transform; motion estimation; motion selectivity; spatio-temporal filter;
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
DOI :
10.1109/ICCSE.2011.6028766