Vision-based automatic incident detection system using image sequences for intersections

Seyed Mostafa Mousavi Kahaki, Md. Jan Nordin

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

9 Citations (Scopus)

Abstract

Traffic incident detection is one of the interesting fields of intelligent transportation system (ITS) which recently rapidly increasing interest in their used. In this paper, we proposed an incident detection system based on incident features and reporting traffic incident in a special intersection using machine vision algorithms. The first step in this algorithm after image sequences acquisition from the video image of CCD camera is vehicle detection. Then the incident features such as direction of the moving vehicles, traffic flow and the rate of changing speed will extract in order to achieve the detection results. Machine vision based algorithm has been used in order to develop the system for incident detection goal. This process gives the best result by total 97.8% of correct rate, 1.02 of false alarm rate and 30(S) is the meantime to detect. The result shows that this algorithm has a good detection rate.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
Pages3-7
Number of pages5
Volume1
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Computer vision
CCD cameras

Keywords

  • incident detection
  • intelligent transportation system
  • traffic measurement
  • vehicle detection

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Cite this

Kahaki, S. M. M., & Nordin, M. J. (2011). Vision-based automatic incident detection system using image sequences for intersections. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 (Vol. 1, pp. 3-7). [5976902] https://doi.org/10.1109/ICPAIR.2011.5976902

Vision-based automatic incident detection system using image sequences for intersections. / Kahaki, Seyed Mostafa Mousavi; Nordin, Md. Jan.

Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. p. 3-7 5976902.

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

Kahaki, SMM & Nordin, MJ 2011, Vision-based automatic incident detection system using image sequences for intersections. in Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. vol. 1, 5976902, pp. 3-7, 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/ICPAIR.2011.5976902
Kahaki SMM, Nordin MJ. Vision-based automatic incident detection system using image sequences for intersections. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1. 2011. p. 3-7. 5976902 https://doi.org/10.1109/ICPAIR.2011.5976902
Kahaki, Seyed Mostafa Mousavi ; Nordin, Md. Jan. / Vision-based automatic incident detection system using image sequences for intersections. Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. pp. 3-7
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