Adelaide Research & Scholarship
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https://hdl.handle.net/2440/67407
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| Type: | Conference paper |
| Title: | A two-layer night-time vehicle detector |
| Author: | Wang, W. Shen, C. Zhang, J. Paisitkriangkrai, S. |
| Citation: | Proceedings International Conference on Digital Image Computing: Techniques and Applications(DICTA'09), 1-3 December, 2009; pp.162-167 |
| Publisher: | IEEE |
| Publisher Place: | Online |
| Issue Date: | 2009 |
| ISBN: | 9780769538662 |
| Conference Name: | Digital Image Computing Techniques and Applications (DICTA) (2009 : Melbourne, Australia) |
| Editor: | Shi, H. Zhang, Y.C. Bottema, M.J. Lovell, B.C. Maeder, A.J. |
| Statement of Responsibility: | Weihong Wang, Chunhua Shen, Jian Zhang and Sakrapee Paisitkriangkrai |
| 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 |
| Rights: | © 2009 IEEE – All Rights Reserved |
| DOI: | 10.1109/DICTA.2009.33 |
| Published version: | http://dx.doi.org/10.1109/dicta.2009.33 |
| Appears in Collections: | Aurora harvest Computer Science publications |
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