@inproceedings{2a65172c29924b9cb0aac001127a77cb,
title = "Fast Vehicle Track Counting in Traffic Video",
abstract = "In order to reduce road congestion, measures such as setting smart signal time schedules are needed. Therefore, it is a key technology to effectively and accurately count the traffic flow of vehicles at various intersections in the surveillance video. The method we propose uses Scaled-YOLOv4 as the vehicle detector, and then implements the vehicle tracking based on the DEEP SORT algorithm. To improve the accuracy and efficiency of the system, we propose a strategy of dynamic frame skipping based on density. We also propose to set key areas, combined with the driving direction, angle, etc., to judge and count the behavior of the vehicle. Experiments show that our method improved system efficiency while remaining high accuracy.",
keywords = "Track count, Traffic monitoring, Vehicle count",
author = "Ruoyan Qi and Ying Liu and Zhongshuai Zhang and Xiaochun Yang and Guoren Wang and Yingshuo Jiang",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Workshops on BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD 2022, held in conjunction with the 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022 ; Conference date: 11-04-2022 Through 14-04-2022",
year = "2022",
doi = "10.1007/978-3-031-11217-1_18",
language = "English",
isbn = "9783031112164",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "244--256",
editor = "Rage, {Uday Kiran} and Vikram Goyal and Reddy, {P. Krishna}",
booktitle = "Database Systems for Advanced Applications. DASFAA 2022 International Workshops - BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD, Proceedings",
address = "Germany",
}