Vehicle detection algorithm based on light pairing and tracking at nighttime

Weibing Wan; Tao Fang; Shuguang Li

doi:10.1117/1.3663961

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1 October 2011 Vehicle detection algorithm based on light pairing and tracking at nighttime

Weibing Wan, Tao Fang, Shuguang Li

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J. of Electronic Imaging, 20(4), 043008 (2011). https://doi.org/10.1117/1.3663961

Abstract

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.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Weibing Wan, Tao Fang, and Shuguang Li "Vehicle detection algorithm based on light pairing and tracking at nighttime," Journal of Electronic Imaging 20(4), 043008 (1 October 2011). https://doi.org/10.1117/1.3663961

Published: 1 October 2011

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