@inproceedings{5d4756d9eaf2468a93ba6e98a2569173,
title = "CNN Based Vehicle Counting with Virtual Coil in Traffic Surveillance Video",
abstract = "This paper presents an efficient method of vehicle counting based on convolutional neural network (CNN) with virtual coils. Within virtual coils, foreground is obtained by background substraction. Vehicle is then detected by voting of virtual coil sub-regions. To deal with vehicle cross-lane cases, a cascade classifier combining connected component analysis (CCA) and CNN is adopted. Experiments are carried out on seven real traffic videos. The proposed approach works well on recognizing cross-lane vehicles, achieving above 90\% accuracy with real-time processing speed.",
keywords = "CCA, CNN, vehicle counting, virtual coil",
author = "Jilong Zheng and Yaowei Wang and Wei Zeng",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 1st IEEE International Conference on Multimedia Big Data, BigMM 2015 ; Conference date: 20-04-2015 Through 22-04-2015",
year = "2015",
month = jul,
day = "9",
doi = "10.1109/BigMM.2015.56",
language = "英语",
series = "Proceedings - 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "280--281",
booktitle = "Proceedings - 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015",
address = "美国",
}