Paper
28 December 2000 Fast vision-based vehicle detection algorithm using recognition of light pattern
Sung-Chang Kim, Tae-Sun Choi
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sung-Chang Kim and Tae-Sun Choi "Fast vision-based vehicle detection algorithm using recognition of light pattern", Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); https://doi.org/10.1117/12.411587
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Roads

Image processing

Headlamps

Detection and tracking algorithms

Pattern recognition

CCD cameras

Binary data

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