DocumentCode :
1833659
Title :
Robust optical flow estimation for illumination changes
Author :
Xiuzhi Li ; Songmin Jia ; Xue Zhao
Author_Institution :
Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
fYear :
2012
fDate :
11-14 Dec. 2012
Firstpage :
360
Lastpage :
365
Abstract :
How to tackle the difficulty involved in optical flow calculation caused by illumination inconsistency in adjacent video frames remains an open challenge. This motivates us to investigate how to obtain a valid and accurate optical flow field which is robust to illumination change based on structure-texture decomposition. In this paper, we attempt to reveal the involved technique details in this ROF model based image decomposition and carefully examine the improvement extent quantitatively by experiment. The advent of structure-texture decomposition for optical flow calculation is verified by experiment results. It is demonstrated from the comparison in the experiment that the accuracy of optical flow field estimated by TV-L1 model and structure-texture decomposition based method outperforms that obtained by pure TV-L1 model and TV-L1 and filter constancy based method.
Keywords :
image sequences; image texture; lighting; video signal processing; TV-L1 model; filter constancy based method; illumination change; image decomposition; optical flow estimation; structure-texture decomposition; structure-texture decomposition based method; video frame;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-2125-9
Type :
conf
DOI :
10.1109/ROBIO.2012.6490993
Filename :
6490993
Link To Document :
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