Vehicle detection algorithm based on light pairing and tracking at nighttime

Weibing Wan; Tao Fang; Shuguang Li

doi:10.1117/1.3663961

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

Weibing Wan, Tao Fang, Shuguang Li

Author Affiliations +

Journal of Electronic Imaging, Vol. 20, Issue 4, 043008 (October 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)

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available