Traf: A Camera based System for Traffic Flow Analysis

DOI

10.2991/mecae-17.2017.64How to use a DOI?

Keywords

Traffic Flow; Video Analysis; Background Subtraction

Abstract

As the traffic jam is becoming a serious issue of urban life, collecting traffic parameters for traffic distribution is important and critical. In this paper, we present a camera based system (Traf) to count automotive vehicles for traffic flow analysis use. The system employs the method of background subtraction by comparing differences between foreground and background. The subtraction result is utilized to identify the position and the shape of vehicles. The background model is initialed by averaging first 50 frames, and adapted to environment change by introducing an adapting parameter . Compared to state-of-art method, Traf is more robust, adaptive and economical.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shibing Feng
AU  - Jian Tang
AU  - Ming Zhao
AU  - Zhen Zhang
AU  - Hengchang Liu
PY  - 2017/03
DA  - 2017/03
TI  - Traf: A Camera based System for Traffic Flow Analysis
BT  - Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
PB  - Atlantis Press
SP  - 342
EP  - 345
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-17.2017.64
DO  - 10.2991/mecae-17.2017.64
ID  - Feng2017/03
ER  -