Vehicle tracking using particle filter for parking management system

Kenneth Tze Kin Teo, Renee Ka Yin Chin, N. S.V.Kameswara Rao, Farrah Wong, Wei Leong Khong

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

2 Citations (Scopus)

Abstract

Increment of on-road vehicles has urged public venues to provide visitors with a larger area of parking space. As the parking area grew larger for example in a hyper mall, a well-organized parking management system is necessary to assist drivers in locating parking position. Besides, it can also help the management team to monitor vehicle flow in the parking lot. Vehicle tracking plays an important role to the parking management system, as accurate tracking result will lead to a more efficient management system. Among commercially available sensors, video sensor has been commonly deployed in the parking area due to its ability in obtaining a wide range of vehicle information. However, images captured using video sensors are limited under situations where vehicles are undergoing occlusion and maneuvering incidents. This will cause tracking error therefore affecting the performance of the parking management system. Particle filter has been proven as one of the promising techniques to track vehicle under disturbances. Therefore, particle filter is proposed to track vehicle under occlusion and maneuvering incidents in this study. Experimental results show that the particle filter is able to track a target vehicle under different disturbances.

Original languageEnglish
Title of host publicationProceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014
EditorsDavid Al-Dabass, Ismail Saad, Khairul Anuar Mohamad, Mohd Hanafi Ahmad Hijazi
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages193-198
Number of pages6
ISBN (Electronic)9781479979103
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventInternational Conference on Artificial Intelligence with Applications in Engineering and Technology 2014 - Kota Kinabalu, Sabah, Malaysia
Duration: 2 Dec 20145 Dec 2014
Conference number: 4th
https://ieeexplore.ieee.org/xpl/conhome/7347855/proceeding (Proceedings)

Conference

ConferenceInternational Conference on Artificial Intelligence with Applications in Engineering and Technology 2014
Abbreviated titleICAIET 2014
CountryMalaysia
CityKota Kinabalu, Sabah
Period2/12/145/12/14
Internet address

Keywords

  • occlusion
  • parking lot
  • particle filter
  • vehicle tracking
  • video sensor

Cite this