Image processing based Tracking and Counting Vehicles

In this research work, we explore the vehicle detection technique that can be used for traffic surveillance systems. This system works with the integration of CCTV cameras for detecting the cars. Initial step will always be car object detection. Haar Cascades are used for detection of car in the foo...

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Bibliographic Details
Published in:	2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA) pp. 335 - 339
Main Authors:	Chhadikar, Nikhil, Bhamare, Priyanka, Patil, Krushna, Kumari, Sangeeta
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-06-2019
Subjects:	Aerospace electronics Automatic Traffic Automobiles Cascade Classifier Computer Vision Conferences Digital Image Processing Feature extraction Haar-like Feature Object detection Object recognition Traffic Management Vehicle Detection
Online Access:	Get full text
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Summary:	In this research work, we explore the vehicle detection technique that can be used for traffic surveillance systems. This system works with the integration of CCTV cameras for detecting the cars. Initial step will always be car object detection. Haar Cascades are used for detection of car in the footage. Viola Jones Algorithm is used in training these cascade classifiers. We modify it to find unique objects in the video, by tracking each car in a selected region of interest. This is one of the fastest methods to correctly identify, track and count a car object with accuracy up to 78 percent.
DOI:	10.1109/ICECA.2019.8822070