Vehicle detection algorithm based on light pairing and tracking at nighttime

Weibing Wan; Tao Fang; Shuguang Li

doi: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.

Citation Download Citation

Weibing Wan, Weibing Wan, Tao Fang, Tao Fang, Shuguang Li, 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 . Submission:

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