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Los Angeles, CA
March 31, 2009 to April 2, 2009
ISBN: 978-0-7695-3507-4
pp: 182-186
ABSTRACT
Most of the reported object tracking methods achieved by estimating the object position cannot suit for large image deformations. For this reason, a new object tracking base on MCMC point matching method is presented in this paper. This method applies MCMC algorithm to solve the posterior probability distribution problem and obtain the optimal matching parameters include position, rotation, scale information. The test results prove this method can successfully cope with target scale or orientation variations in video tracking
CITATION
Yang Hongbo, "Object Tracking Using Point Matching Based on MCMC", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 182-186, doi:10.1109/CSIE.2009.319
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