2019
DOI: 10.1049/iet-cvi.2018.5011
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Correlation‐guided multi‐object tracking with correlation feature transfer

Abstract: Here, the authors propose a correlation-guided Monte Carlo Markov chain (MCMC) solver to promote the efficiency for tracking multiple objects under recursive Bayesian filtering framework. Instead of randomly proposing the target location according to certain distribution, the authors' method guides the MCMC solver to sample among locations that the targets are more likely to appear. The high possible locations for each target are obtained using its corresponding response map by evaluating the correlation betwe… Show more

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References 40 publications
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