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A real-time precrash vehicle detection system
Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings.
This paper presents an in-vehicle real-time monocular precrash vehicle detection system. The system acquires grey level images through a forward facing low light camera and achieves an average detection rate of 10Hz. The vehicle detection algorithm consists of two main steps: multi-scale driven hypothesis generation and appearancebased hypothesis verification. In the multi-scale hypothesis generation step, possible image locations where vehicles might be present are hypothesized. This step uses
doi:10.1109/acv.2002.1182177
dblp:conf/wacv/SunMBD02
fatcat:75xic6t4x5bixkuw7y2aciwf7i