Design simulation model for tracking and speed estimation of moving objects

This paper presents an application of computer vision methods to traffic flow monitoring and road traffic analysis. The application utilizes image-processing and pattern recognition methods designed and modified to the needs and constrains of road traffic analysis. These methods combined together gives functional capabilities of the system to monitor the road, to initiate automated vehicle tracking, to measure the speed including the main steps for tracking speeds for moving objects. And design a new proposed algorithm for estimating traffic speed using a sequence of images from an un-calibrated camera using MATLAB SIMULINK.