@inproceedings{8d5a3c2bc2ac432c82a006740339c6ef,
title = "Vehicle type classification from surveillance videos on Urban roads",
abstract = "In this paper, a novel classification scheme has been proposed for real time vehicle type classification from surveillance videos on urban roads. Three kinds of vehicle types, i.e., Small cars, large cars, and motorbikes, are classified for the later retrieval. This system is performed in various outdoor illumination and weather conditions. The average precision and recall rates of vehicle type classification are more than 93.82% and 88%, respectively. Moreover, the performance of the proposed method is up to 25 frames per seconds.",
keywords = "Histogram of Gradient (HOG) features, Vehicle type classification, video retrieval, video surveillance",
author = "Wang, {Yu Chen} and Han, {Chin Chuan} and Hsieh, {Cheng Ta} and Fan, {Kuo Chin}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 7th International Conference on Ubi-Media Computing and Workshops, U-MEDIA 2014 ; Conference date: 12-07-2014 Through 14-07-2014",
year = "2014",
month = oct,
day = "3",
doi = "10.1109/U-MEDIA.2014.69",
language = "???core.languages.en_GB???",
series = "Proceedings - 2014 7th International Conference on Ubi-Media Computing and Workshops, U-MEDIA 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "266--270",
booktitle = "Proceedings - 2014 7th International Conference on Ubi-Media Computing and Workshops, U-MEDIA 2014",
}