Adaptive tracking of overlapping vehicles via markov chain monte carlo with CUSUM path plot algorithm

Kow, Wei Yeang and Khong, Wei Leong and Farrah Wong and Ismail Saad and Teo, Kenneth Tze Kin (2011) Adaptive tracking of overlapping vehicles via markov chain monte carlo with CUSUM path plot algorithm. In: 3rd International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN 2011), 26-28 July 2011, Bali, Indonesia.

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Vehicle detection and tracking is essential in traffic surveillance and traffic flow optimization. However, occlusion or overlapped vehicle tracking is difficult and remain a challenging research topic in image processing. In this paper, a conventional Markov Chain Monte Carlo (MCMC) is enhanced via Cumulative Sum (CUSUM) path plot in order to track vehicles in overlapping situation. By calculating the hairiness of CUSUM path plot, MCMC can be diagnosed as converged based on its sampling outputs. Varying sample size of MCMC provides enhancement to the tracking performance and capability of overcoming the limitation of conventional fix sample size algorithm. In addition, implementation of m-th order prior probability distribution and fusion of color and edge distance likelihood have further improved the tracking accuracy. MCMC with fixed sample size and CUSUM path plot are implemented and their corresponding performances are analyzed. Experimental results show that MCMC with CUSUM path plot has better performance where it is able to track the overlapped vehicle accurately with lesser processing time.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Markov Chain Monte Carlo, MCMC, Cumulative Sum, CUSUM, Path plot
Subjects: Q Science > QA Mathematics
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 17 Jul 2012 08:39
Last Modified: 08 Sep 2014 08:47

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