Automated Traffic Monitoring System Using Computer Vision

被引：0

作者：

Krishna ^{[1
]}

Poddar, Madhav ^{[1
]}

Giridhar, M. K. ^{[1
]}

Prabhu, Amit Suresh ^{[1
]}

Umadevi, V ^{[1
]}

机构：

[1] BMS Coll Engn, Dept Comp Sci & Engn, Bengaluru, India

来源：

PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON ICT IN BUSINESS INDUSTRY & GOVERNMENT (ICTBIG) | 2016年

关键词：

multiple reference lines; vehicle count; pixel values variation; traffic analysis; speed estimation; speed violation identification; TRACKING;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We have rules to govern traffic to ensure a smooth movement of traffic. We need to make sure that traffic violations do not occur and also penalize the offenders. We are considering the aspect of over-speeding for our implementation and would like to do our bit to supervise such an action. We receive the traffic surveillance video input from a camera. We have implemented a system which measures the number of vehicles and also checks for speed limit violation. The system has an accuracy of 98.96% for vehicle count detection and an accuracy of 98.14% for speed violation detection. We use the concept of multiple reference lines for identifying vehicles. Using the total duration of frames the vehicle took to cross the reference lines we determine the speed and hence the possibility of a traffic violation. It also helps in providing an idea regarding the traffic in any area of interest.

引用

页数：5

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