Performance analysis of sequential Monte Carlo MCMC and PHD filters on multi-target tracking in video

The Bayesian approach to target tracking has proven to be successful in the tracking of multiple targets in various application contexts. This paper applies sequential Monte Carlo (SMC) filtering techniques such as the Markov Chain Monte Carlo particle filter (MCMC PF) and the SMC probability hypoth...

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Bibliographic Details

Main Author:	Abdullah Daniyan
Format:	Default Conference proceeding
Published:	2014
Subjects:	Other engineering not elsewhere classified Multi-target tracking (MTT) Sequential Monte Carlo (SMC) Probability hypothesis density (PHD) filter Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/37348
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