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Sensors 2013, 13(12), 16474-16493; doi:10.3390/s131216474
Article

A Region Tracking-Based Vehicle Detection Algorithm in Nighttime Traffic Scenes

1,* , 2
 and 1,3
Received: 3 October 2013; in revised form: 18 November 2013 / Accepted: 25 November 2013 / Published: 2 December 2013
(This article belongs to the Section Physical Sensors)
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Abstract: 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 we 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, we 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.
Keywords: advanced driver assistance system; nighttime vehicle detection; vehicle taillights; pairing; tracking; time-series analysis model; adaptive thresholds advanced driver assistance system; nighttime vehicle detection; vehicle taillights; pairing; tracking; time-series analysis model; adaptive thresholds
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Wang, J.; Sun, X.; Guo, J. A Region Tracking-Based Vehicle Detection Algorithm in Nighttime Traffic Scenes. Sensors 2013, 13, 16474-16493.

AMA Style

Wang J, Sun X, Guo J. A Region Tracking-Based Vehicle Detection Algorithm in Nighttime Traffic Scenes. Sensors. 2013; 13(12):16474-16493.

Chicago/Turabian Style

Wang, Jianqiang; Sun, Xiaoyan; Guo, Junbin. 2013. "A Region Tracking-Based Vehicle Detection Algorithm in Nighttime Traffic Scenes." Sensors 13, no. 12: 16474-16493.


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