A two-layer night-time vehicle detector
Date
2009
Authors
Wang, W.
Shen, C.
Zhang, J.
Paisitkriangkrai, S.
Editors
Shi, H.
Zhang, Y.C.
Bottema, M.J.
Lovell, B.C.
Maeder, A.J.
Zhang, Y.C.
Bottema, M.J.
Lovell, B.C.
Maeder, A.J.
Advisors
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Conference paper
Citation
Proceedings International Conference on Digital Image Computing: Techniques and Applications(DICTA'09), 1-3 December, 2009; pp.162-167
Statement of Responsibility
Weihong Wang, Chunhua Shen, Jian Zhang and Sakrapee Paisitkriangkrai
Conference Name
Digital Image Computing Techniques and Applications (DICTA) (2009 : Melbourne, Australia)
Abstract
We present a two-layer night time vehicle detector. At the first layer, headlight detection [ref] is conducted to allocate areas (eg, bounding box) where are the possible pairs of the headlights in the image, the Haar feature based Adaboost framework are then applied to decide the vehicle front at night time. This approach has achieved significant performance for vehicle detection at night time. Our results showed that the proposed algorithm can reach over 90% of detection rate at 1.5% false positive rate. Without any code optimization, it also performs at a faster speed compared to Haar feature based Adaboost approach
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© 2009 IEEE – All Rights Reserved