Abstract
Instead of a high-priced radar system, this paper proposes a camera-based system to detect large vehicles at night. Recognition rate is improved using KAZE-based Bag-of-Features component in the system. In our current setup, ROI are extracted from nighttime-driving videos using rear-lights detection, then a LBP-based Adaboost detector is used to detect the locations of large vehicles, finally the KAZE-based BOF classifier is used to improve classification accuracy. Preliminary experimental results shows that this idea is feasible and can help enhance the driver's safety while driving at night.
Original language | English |
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Title of host publication | 2016 International Conference on Communication Problem-Solving, ICCP 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509013838 |
DOIs | |
State | Published - 21 11 2016 |
Event | 2016 International Conference on Communication Problem-Solving, ICCP 2016 - Taipei, Taiwan Duration: 07 09 2016 → 09 09 2016 |
Publication series
Name | 2016 International Conference on Communication Problem-Solving, ICCP 2016 |
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Conference
Conference | 2016 International Conference on Communication Problem-Solving, ICCP 2016 |
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Country/Territory | Taiwan |
City | Taipei |
Period | 07/09/16 → 09/09/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.