@inproceedings{6d583cd4e95447b08eff98f16c95ca53,
title = "Intelligent vehicle detection and tracking for highway driving",
abstract = "Due to the increment of vehicles, the traffic jamming in cities becomes a serious challenge and the safety of people is threatened. Intelligent transportation system (ITS) and intelligent vehicles are critical to the efficiency of city transportation. In the area related with ITS and intelligent vehicles, moving vehicle detection and tracking are the most challenging problems. In this paper, we propose a framework for vehicle detection and tracking and make an in-depth research in key algorithms and techniques. We also conduct a serial of experiments on the basis of the existing results. Experimental results show that our proposed approach is feasible and effective for vehicle detection and tracking.",
keywords = "HOG Feature, Mean Shift, Part-based Model, SVM, Vehicle Detection, Vehicle Tracking",
author = "Wanxin Xu and Meikang Qiu and Zhi Chen and Hai Su",
year = "2012",
doi = "10.1109/ICMEW.2012.19",
language = "English",
isbn = "9780769547299",
series = "Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2012",
pages = "67--72",
booktitle = "Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2012",
note = "2012 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2012 ; Conference date: 09-07-2012 Through 13-07-2012",
}
