2009 Digital Image Computing: Techniques and Applications A Two-Layer Night-Time Vehicle Detector Melbourne, Australia December 01-December 03 ISBN: 978-0-7695-3866-2
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DICTA.2009.33
We present a two-layer night time vehicle detector in this work. At the first layer, vehicle headlight detection 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.
Index Terms:
vehicle detection, headlight detector, Adaboost
Citation:
Weihong Wang, Chunhua Shen, Jian Zhang, Sakrapee Paisitkriangkrai, "A Two-Layer Night-Time Vehicle Detector," dicta, pp.162-167, 2009 Digital Image Computing: Techniques and Applications, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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