Video Analytics Based Online Traffic Regulation System
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-2 |
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| Year of Publication : 2019 | ||
| Authors : Vaddevalli Sai Krishna, Meer Mehadi Hussain, VNKSSD Aditya Bulusu | ||
| DOI : 10.14445/22312803/IJCTT-V67I2P106 |
MLA Style: Vaddevalli Sai Krishna, Meer Mehadi Hussain, VNKSSD Aditya Bulusu, "Video Analytics Based Online Traffic Regulation System" International Journal of Computer Trends and Technology 67.2 (2019): 41-48.
APA Style:Vaddevalli Sai Krishna, Meer Mehadi Hussain, VNKSSD Aditya Bulusu, (2019). Video Analytics Based Online Traffic Regulation System. International Journal of Computer Trends and Technology, 67(2), 41-48.
Abstract
Video Analytics extracts relevant and required information from a digital video. It has a large number of applications in many sectors like Retail, Airports, Railways, Transportation, Healthcare, Education, and Military. Traffic monitoring is a challenging task in real time. Traditional traffic monitoring procedures are manual, expensive, time consuming and involve human operators. It is now possible to implement object detection and tracking, behavioural analysis of traffic patterns, number plate recognition and automate security and surveillance on video streams produced by traffic monitoring and surveillance cameras. This project works to develop a system where the footage from a traffic camera is analysed and reports are generated. Here our project concentrates on the vehicle number plate detection and vehicle count from the live video streaming. Our Framework uses different image processing and video processing techniques in MATLAB.
Reference
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Keywords
Video Analytics, Image Processing, Optical Character Recognition, Segmentation