Keywords: Intelligent Traffic Surveillance System ITSS, Smart camera, Image vision, OpenCV, Socket programming, GNU/Linux
Object recognition and detection is an important element of various computer vision fields. The basic goal is to find an object in static images or video frames. Most of the times, this task can be handled by extracting certain image features, such as edges, color regions, textures, contours, shapes ,etc. Then, some techniques are applied in order to find configurations and combinations of those features of the object that one wants to detect....
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...ystem. The systems have been checked with different processors speed ,2.6 GHz CPU processor, 2,2 GHz CPU processor and 1.2 GHz CPU processor the result is illustrated by table 1; note that the time average count in ms.
A traffic surveillance system designed to monitor the safety level of the highway or motorways and it able to be used in any background view also it works in rainy and sunny days even in the night ; vehicle detection algorithm was designed used both Canny and Gaussian protocols. The background real time updated and it useful for doing background subtraction, then the vehicles was accurately detected. A video vehicle detection system was developed under GNU-Linux with C programming using OpenCV function. The result as attach in this paper beyond the expectation as its purpose for traffic surveillance system.
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