A new vehicle detection approach in traffic jam conditions

Bing-Fei Wu*, Jhy Hong Juang, Ping Tsung Tsai, Ming Wei Chang, Chung Jui Fan, Shin Ping Lin, Jennifer Yuh Jen Wu, Hsia Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

The well-known vehicle detectors utilize the background extraction methods to segment the moving objects. The background updating concept is applied to overcome the luminance variation which results in the error detection. These systems will meet a challenge when detecting the vehicles in the traffic jam conditions at sunset. The vehicles will cover the road surface so that the background information cannot be smoothly updated. Once the traffic is released, the existing background is not suitable for the moving segmentation. The main contribution of this paper is that an efficient vehicle detection approach is proposed to improve the detection accuracy in traffic jam conditions. The land mask decision gives the land information and the merged boundary box rule is presented to realize vehicle detection. The signed square normalized correlation coefficient calculation is addressed, and it is applied to vehicle tracking. The experimental results show that this approach works well in highway and urban area with high accuracy.

Original languageAmerican English
Title of host publicationProceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Print)1424407079, 9781424407071
DOIs
StatePublished - 25 Sep 2007
Event2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007 - Honolulu, HI, United States
Duration: 1 Apr 20075 Apr 2007

Publication series

NameProceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007

Conference

Conference2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
CountryUnited States
CityHonolulu, HI
Period1/04/075/04/07

Keywords

  • Tracking
  • Traffic jam
  • Vehicle detection

Fingerprint Dive into the research topics of 'A new vehicle detection approach in traffic jam conditions'. Together they form a unique fingerprint.

Cite this