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Vehicle detection algorithm based on light pairing and tracking at nighttime

[+] Author Affiliations
Weibing Wan

University of Missouri-Columbia, Computer Science Department Columbia, Missouri 65211 and Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Department of Automation, Shanghai 200240, China

Tao Fang

Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Department of Automation, Shanghai 200240, China

Shuguang Li

Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Department of Automation, Shanghai 200240, China

J. Electron. Imaging. 20(4), 043008 (December 08, 2011). doi:10.1117/1.3663961
History: Received April 08, 2011; Revised October 23, 2011; Accepted November 04, 2011; Published December 08, 2011; Online December 08, 2011
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Detecting a vehicle to obtain traffic information at nighttime is difficult. This study proposes a vehicle detection algorithm, called the headlight extraction, pairing, and tracking (HLEPT) algorithm, which can acquire traffic information in the rain at nighttime by identifying vehicles through the location of their headlights and other indicative lights. A knowledge-based connected-component procedure, in which vehicles are located by grouping their lights and estimating their features, is proposed. The features of a complex nighttime traffic scene were also analyzed. The HLEPT algorithm includes a headlight extraction algorithm, as well as regulations for the pairing and grouping of lights and light tracking using a Kanade–Lucas–Tomasi tracker to measure traffic flow and velocity. Experimental results demonstrate the feasibility and effectiveness of the proposed approach on vehicle detection in the rain at nighttime.

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© 2011 SPIE and IS&T

Citation

Weibing Wan ; Tao Fang and Shuguang Li
"Vehicle detection algorithm based on light pairing and tracking at nighttime", J. Electron. Imaging. 20(4), 043008 (December 08, 2011). ; http://dx.doi.org/10.1117/1.3663961


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