Enhancement of particle filter approach for vehicle tracking via adaptive resampling algorithm

Wei Leong Khong, Wei Yeang Kow, Farrah Wong, Ismail Saad, Kenneth Tze Kin Teo

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

11 Citations (Scopus)


Nowadays, vehicle tracking is a vital approach to assist and improve the road traffic control, surveillance and security systems by having the detail of the captured vehicle information. In past, many tracking techniques have been implemented and suffered from the well known 'occlusion' problems. Increasing the accuracy of the tracking algorithm has caused the computational cost due to the inflexibility to adapt the partial and fully occluded situations. Besides occlusion, appearance of new objects and background noises in the captured videos increase the difficulties of continuously tracking the labelled vehicles. In this paper, an adaptive particle filter approach has been proposed as the tracking algorithm to solve the vehicle occlusion problem. In order to solve the common particle filter degeneracy problem, the proposed particle filter is equipped with the adaptive resampling algorithm which is capable of dealing with various occlusion incidents. The experimental results show that enhancement of the particle filter via resampling algorithm has been robustly tracking the vehicles, and significantly improve the accuracy in tracking the occluded vehicles without compromising the processing time.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011
Number of pages5
Publication statusPublished - 2011
Externally publishedYes
EventInternational Conference on Computational Intelligence, Communication Systems and Networks (CICSyN) 2011 - Bali, Indonesia
Duration: 26 Jul 201128 Jul 2011
Conference number: 3rd
https://ieeexplore.ieee.org/xpl/conhome/6005193/proceeding (Proceedings)


ConferenceInternational Conference on Computational Intelligence, Communication Systems and Networks (CICSyN) 2011
Abbreviated titleCICSyN 2011
Internet address


  • Likelihood
  • Particle filter
  • Resampling
  • Vehicle tracking

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