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Vehicle Detection and Tracking in Roadway Traffic Analysis using Kalman Filter and Features

Ahad Karimi Moridani, Seyyedeh Hoora Fakhrmoosavy, Mohamed Karimi Moridani

Abstract


This paper presents a powerful algorithm of computer vision methods to traffic flow monitoring, vehicle detection and traffic analysis, which intend to develop the vehicle count system using an image processing technique in CCTV video outputs. This software-based vehicle counter can detect all vehicles through images instead of using expensive electronic sensors or cameras embedded in the sidewalks. This system processes captured video, detects vehicles in each frame, classifies the vehicles into four types and counts all of them, all by image/video processing techniques.

Keywords


Video and Image Processing; Traffic Analysis; Vehicle Detection and Tracking.

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