A Two-Layer Night-time Vehicle Detector
Date
2009
Authors
Wang, Weihong
Shen, Chunhua
Zhang, Jian
Paisitkriangkrai, Sakrapee
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Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
We present a two-layer night time vehicle detector in this work. At the first layer, vehicle headlight detection [1, 2, 3] is applied to find areas (bounding boxes) where the possible pairs of headlights locate in the image, the Haar feature based AdaBoost framework is then applied to detect the vehicle front. This approach has achieved a very promising performance for vehicle detection at night time. Our results show that the proposed algorithm can obtain a detection rate of over 90% at a very low false positive rate (1:5%). Without any code optimization, it also performs at a faster speed compared to the standard Haar feature based AdaBoost approach [4].
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Keywords
Keywords: AdaBoost; Bounding box; Code optimization; Detection rates; False positive rates; Haar features; Night time; Two layers; Vehicle detection; Vehicle detector; Adaptive boosting; Algorithms; Headlights; Image processing; Vehicles; Detectors
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Source
Proceedings of the Digital Image Computing: Techniques and Applications (DICTA 2009)
Type
Conference paper
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Restricted until
2037-12-31
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