NDLI: Level set tracking with fusion of color and dynamical shape priors

Content Provider	IEEE Xplore Digital Library
Author	Xue Zhou Weiming Hu Hongbing Xu Jianxiao Zou
Copyright Year	2009
Description	Author affiliation: Inst. of Autom., Chinese Acad. of Sci., Beijing, China (Weiming Hu) \|\| Coll. of Autom., Univ. of Electron. Sci. & Technol. of China, Chengdu, China (Xue Zhou; Hongbing Xu; Jianxiao Zou)
Abstract	Level set tracking has been widely used for tracking contours of objects. However, traditional methods are sensitive to noise, partial occlusions, background disturbance and some other factors, especially there exist serious problems for non-rigid objects tracking. With respect to this point, we propose a level set-based tracking framework in which color and dynamical shape priors are fused together. The framework consists of two stages- off-line training and on-line tracking. During the off-line training stage, a graph-based dominant set clustering (DSC) method is applied to learn a shape codebook with each codeword representing a certain shape mode. Then a codeword transition matrix is learnt to characterize the temporal correlations of contours of an object. During the on-line tracking stage, firstly, the initial contour is evolved only with the color feature, a Markov random field (MRF)-like model measuring the correlations between neighboring pixels is added to improve the general region-based level set speed model; secondly, we fuse the knowledge of shape priors and the results obtained with the color feature, and adopt maximum a posteriori (MAP) estimation to predict the current shape mode; and finally the contours are evolved with the shape constraint continuously. The experimental results on synthetic and real video sequences demonstrate the effectiveness of our method.
Sponsorship	IEEE Instrum. Meas. Soc.
Starting Page	367
Ending Page	372
File Size	591940
Page Count	6
File Format	PDF
ISBN	9781424433520
ISSN	10915281
DOI	10.1109/IMTC.2009.5168477
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-05
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Level set Shape measurement Colored noise Predictive models Background noise Noise shaping Markov random fields Current measurement Velocity measurement Fuses
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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