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Motion detection and segmentation are used in many applications of computer vision. The goal of this segmentation is to extract moving object from its background. This segmentation would be more challengeable when the camera is moving itself. This paper considers the addressing of this problem using structure from motion (SFM) techniques. First, using the RANSAC algorithm the Epipolar geometry between...
License plate detection and recognition has become high-priority research because of its many applications such as electronic payment systems, traffic monitoring and security control. This subject is divided into 2 main parts: license plate detection and character recognition. Although, there have been many studies in detection, two lines license plates such as Iranian motorcycle is less studied....
Feature point tracking is one of the most important subjects in machine vision due to its abundant applications. The advantage of this sort of tracking compared with other tracking methods is in extracting exact position information from tracking object's components. Three important problems in this issue are accuracy, speed and stability of the tracking system subject to illumination variations,...
Visual surveillance in crowded scenes, especially for humans, has recently been one of the most active research topics in machine vision because of its applications such as deter and response to crime, suspicious activities, terrorism or human behavior recognition. One of the most important problems in multiple human tracking is the occlusion problem. When the number of humans has an occlusion with...
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