Abstract
Object detection and tracking one of the most important areas of research due to routine change in motion of object and variation in scene size, occlusions, appearance variations, and ego-motion and illumination changes. Specifically, feature selection is the vital role in object tracking. Nowadays, moving objects tracking in real time is a new paradigm that has a great impact on video surveillance and monitoring to detect and trace objects, and due to the constant change in the motion of the object and changing the size of the scene, obstruction, changes in appearance and changes in movement and brightness; it is an important area of research and a very important task in the field of security automation monitoring systems automatically. On the other hand, object tracking in a film is a matter of estimating positions and other relevant information about the movement of objects in the film's visual sequences. The first step in such systems is to identify a moving object in the film. The second step is to track the detected object. The purpose of this paper is to analyze and review the previous approach towards object tracking, object recognition and object detection in Images.
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