Traffic counting errors due to occlusion in video image vehicle detection systems

Pei Feng Hu, Zong Zhong Tian, Hong Chao Liu

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

1 Scopus citations

Abstract

Video Image Vehicle Detection Systems (VIVDS) are becoming primary tools of detecting traffic at intersections, interchanges and freeways due to their low costs, ability to monitor multiple lanes, variety of traffic data collection functions, and ability to easily reconfigure. However, the performance of VIVDS is often affected by camera location, lighting, weather and other factors. This paper will examine the effects of occlusion on traffic counts on freeway segments. Occlusion is a common phenomenon for VIVDS and the data errors are caused by many factors. There are two types of occlusion: longitudinal occlusion which causes missing detections, and horizontal occlusion which causes false counts. This paper also includes models that quantify missing and false counts. Finally, the models were validated using data collected on the I-80 freeway in Reno, Nevada. The test proved that the models are reliable and useful for real applications.

Original languageEnglish
Title of host publicationICCTP 2010
Subtitle of host publicationIntegrated Transportation Systems: Green, Intelligent, Reliable - Proceedings of the 10th International Conference of Chinese Transportation Professionals
Pages2408-2419
Number of pages12
DOIs
StatePublished - 2010
Event10th International Conference of Chinese Transportation Professionals - Integrated Transportation Systems: Green, Intelligent, Reliable, ICCTP 2010 - Beijing, China
Duration: Aug 4 2010Aug 8 2010

Publication series

NameICCTP 2010: Integrated Transportation Systems: Green, Intelligent, Reliable - Proceedings of the 10th International Conference of Chinese Transportation Professionals
Volume382

Conference

Conference10th International Conference of Chinese Transportation Professionals - Integrated Transportation Systems: Green, Intelligent, Reliable, ICCTP 2010
CountryChina
CityBeijing
Period08/4/1008/8/10

Keywords

  • Errors
  • Imaging techniques
  • Traffic surveys

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  • Cite this

    Hu, P. F., Tian, Z. Z., & Liu, H. C. (2010). Traffic counting errors due to occlusion in video image vehicle detection systems. In ICCTP 2010: Integrated Transportation Systems: Green, Intelligent, Reliable - Proceedings of the 10th International Conference of Chinese Transportation Professionals (pp. 2408-2419). (ICCTP 2010: Integrated Transportation Systems: Green, Intelligent, Reliable - Proceedings of the 10th International Conference of Chinese Transportation Professionals; Vol. 382). https://doi.org/10.1061/41127(382)257