A region tracking-based vehicle detection algorithm in nighttime traffic scenes

The preceding vehicles detection technique in nighttime traffic scenes is an important part of the advanced driver assistance system (ADAS). This paper proposes a region tracking-based vehicle detection algorithm via the image processing technique. First, the brightness of the taillights during nighttime is used as the typical feature, and the authors use the existing global detection algorithm to detect and pair the taillights. When the vehicle is detected, a time series analysis model is introduced to predict vehicle positions and the possible region (PR) of the vehicle in the next frame. Then, the vehicle is only detected in the PR. This could reduce the detection time and avoid the false pairing between the bright spots in the PR and the bright spots out of the PR. Additionally, the authors present a thresholds updating method to make the thresholds adaptive. Finally, experimental studies are provided to demonstrate the application and substantiate the superiority of the proposed algorithm. The results show that the proposed algorithm can simultaneously reduce both the false negative detection rate and the false positive detection rate.

• Record URL:
  • https://doi.org/10.3390/s131216474
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14248220
• Supplemental Notes:
  • © 2013 Jianqiang Wang et al.
• Authors:
  • Wang, Jianqiang
  • Sun, Xiaoyan
  • Guo, Junbin
• Publication Date: 2013

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: pp 16474-16493
• Serial:
  • Sensors
  • Volume: 13
  • Issue Number: 12
  • Publisher: MDPI AG
  • ISSN: 1424-8220
  • Serial URL: http://www.mdpi.com/journal/sensors
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Driver support systems; Image processing; Night; Taillamps; Time series analysis; Vehicle detectors
• Subject Areas: Highways; Safety and Human Factors; I85: Safety Devices used in Transport Infrastructure;

Filing Info

• Accession Number: 01522911
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 24 2014 11:45AM