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Detecting and tracking objects in video has been as a research area of interest in the field of image processing and computer vision.\udThis paper evaluates the performance of a novel method for object detection algorithm in video sequences. This process helps us to\udknow the advantage of this method which is being used. The proposed framework compares the correct and wrong detection\udpercentage of this algorithm. This method was evaluated with the collected data in the field of urban transport which include car and\udpedestrian in fixed camera situation. The results show that the accuracy of the algorithm will decreases because of image resolution\udreduction

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

EVALUATION OF MOVING OBJECT DETECTION BASED ON VARIOUS INPUT NOISE USING FIXED CAMERA