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Proceedings Paper

Fast vision-based vehicle detection algorithm using recognition of light pattern
Author(s): Sung-Chang Kim; Tae-Sun Choi
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Paper Abstract

In this paper, we present a vehicle detection framework which aims at avoiding collision and warning the dangerous situation during driving on a road at night. Potential obstacles- vehicles, motorcycles are detected from image sequences by a vision system which processes the images given by a Charge Coupled Device (CCD) camera mounted on a moving car. We can compute the position and number of vehicles from these image sequences by using several image processing techniques.

Paper Details

Date Published: 28 December 2000
PDF: 8 pages
Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); doi: 10.1117/12.411587
Show Author Affiliations
Sung-Chang Kim, Kwangju Institute of Science and Technology (South Korea)
Tae-Sun Choi, Kwangju Institute of Science and Technology (South Korea)

Published in SPIE Proceedings Vol. 4115:
Applications of Digital Image Processing XXIII
Andrew G. Tescher, Editor(s)

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