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Los Angeles, California USA
Mar. 31, 2009 to Apr. 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, Hou Xia, "Object Tracking Using Point Matching Based on MCMC", CSIE, 2009, Computer Science and Information Engineering, World Congress on, Computer Science and Information Engineering, World Congress on 2009, pp. 182-186, doi:10.1109/CSIE.2009.319
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