Adapting MCMC with CUSUM path plot for overlapped vehicle tracking

Wei, Yeang Kow and Wei, Leong Kong and How, Tung Yew and Ismail Saad and Teo, Kenneth Tze Kin (2011) Adapting MCMC with CUSUM path plot for overlapped vehicle tracking. International Journal of Simulation: Systems, Science and Technology, 12 (3). pp. 36-43. ISSN 1473-8031


Download (43kB) | Preview


Traffic surveillance using video sensors has been essential over the recent years and it is capable of obtaining wide range of vehicle information. However tracking overlapped vehicles still remain as a challenging task due to the involvement of high dimensional calculation. Conventional fixed sample size Markov Chain Monte Carlo (MCMC) will encounter tracking error if the sample size is insufficient and will be computationally expensive if the sample size is too large. Therefore cumulative sum (CUSUM) path plot is introduced to aid the difficulties in determining the sample size of MCMC. The adaptive sample size of MCMC has shown significant tracking accuracy especially when the vehicle is overlapped. Furthermore, implementation of observation likelihood by fusing colour and edge distance has further enhanced the tracking performances. Experimental result shows that CUSUM path plot algorithm has overcome the limitation of fixed sample size MCMC with better tracking accuracy and lesser computational time.

Item Type: Article
Keyword: Adaptive sampling, Cumulative sum, Markov chain monte carlo, Vehicle tracking, Computational time, Cumulative sums, Edge distance, High-dimensional, Markov chain monte carlo, Sample sizes, Tracking accuracy, Tracking errors, Tracking performance, Traffic surveillance, Video sensors, Computer simulation, Software engineering, Tracking (position)
Subjects: Q Science > QA Mathematics
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Department: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 16 Jul 2012 10:42
Last Modified: 17 Oct 2017 15:03

Actions (login required)

View Item View Item