Overlapped vehicle tracking via enhancement of particle filter with adaptive resampling algorithm

Khong, Wei Leong and Kow, Wei Yeang and Lorita Angeline and Ismail Saad and Teo, Kenneth Tze Kin (2011) Overlapped vehicle tracking via enhancement of particle filter with adaptive resampling algorithm. International Journal of Simulation: Systems, Science and Technology, 12 (3). pp. 44-51. ISSN 1473-804X

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Abstract

Traffic surveillance and on-road security have elevated the demand of machine vision aided traffic control system. Through the modern video camera technology, vehicle tracking has become a vital approach to assist the on-road traffic systems. In the past, many tracking methods have been developed based on the detail and information extracted from the captured vehicle. However, conventional tracking system need to be improved since the background noises and sudden appear objects will increase the difficulties of continuously tracking the target vehicle. Hence, a particle filter algorithm with adaptive resampling approach has been proposed to overcome the vehicle occlusion problems. In addition, the proposed resampling approach can also be used to solve the common particle degeneracy problem. Experimental results show that the enhanced particle filter equipped with adaptive resampling algorithm is significantly improving the accuracy of the tracking process without compromising the processing time.

Item Type:	Article
Keyword:	Adaptive resampling, Particle filter, Traffic surveillance, Vehicle tracking, Background noise, Camera technology, Occlusion problems, Particle degeneracy, Particle filter, Particle filter algorithms, Processing time, Re-sampling approach, Resampling, Resampling algorithms, Target vehicles, Tracking method, Tracking process, Tracking system, Traffic surveillance, Traffic systems, Highway traffic control, Nonlinear filtering, Target tracking, Tracking (position), Adaptive algorithms
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 10:33
Last Modified:	17 Oct 2017 15:04
URI:	https://eprints.ums.edu.my/id/eprint/4557

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