NDLI: Motion estimation approach based on dual-tree complex wavelets

Content Provider	IEEE Xplore Digital Library
Author	Changzhu Wu Qing Wang Hongxiao Wang
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xian (Changzhu Wu; Qing Wang; Hongxiao Wang)
Abstract	The loss of information due to occlusion and other complications has been one of the main bottlenecks in the field of motion estimation. In this paper, we propose a novel motion estimation algorithm based on dual-tree complex wavelet (DT-CWT), which utilizes its approximate shift invariance and directional selectivity. Subbands within different orientations and levels are individually treated to overcome the issue of error propagation induced by frequently used coarse-to-fine searching strategy, as these subbands are approximately independent from each other. Then, the frame next to the current one is introduced to supplement the lost information due to the occlusion and to improve the estimation accuracy within boundary areas. Experimental results show that the proposed method is effective with robustness to intense motion, scene change and occlusion.
Starting Page	1
Ending Page	4
File Size	269287
Page Count	4
File Format	PDF
ISBN	9781424421749
ISSN	10514651
DOI	10.1109/ICPR.2008.4761527
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Discrete wavelet transforms Image reconstruction Wavelet domain Robustness Wavelet transforms Motion analysis Computer science Layout Continuous wavelet transforms
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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