@inproceedings{9a5e95e58382463388e09886d5f4e155,
title = "A Multiple Vehicle Tracking and Counting Method and its Realization on an Embedded System with a Surveillance Camera",
abstract = "This paper proposes a tracking-by-detection method with a weighted scoring mechanism to associate the trackers and the detection results for accurate tracking and counting vehicles in a surveillance application. For the vehicle detection, the proposed method uses our robust PVA-lite deep learning model to detect vehicles. The experimental results show that the proposed method can achieve more than 95% in the average counting accuracy.",
author = "Hsu, {Yi Hsuan} and Chang, {Ssu Yuan} and Jiun-In Guo",
year = "2018",
month = aug,
day = "27",
doi = "10.1109/ICCE-China.2018.8448869",
language = "English",
isbn = "9781538663011",
series = "2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018",
address = "United States",
note = "5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 ; Conference date: 19-05-2018 Through 21-05-2018",
}