A Review on Tracking of Moving Object
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Abstract
Object tracking deal with non-stationary objects that change over time. Object tracking in computer vision related to the task of tracking individual movable objects accurately from one frame to another in an image sequence or in video. This paper provides a comparative review of recent tracking methods, in particular with respect to their capability of tracking objects under various problems. In this papers researchers presented different method of object tracking such as binary classification problem, Steiner tree, local sparse model, novel algorithm with AdaBoost method.
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Keywords: Binary classification, Steiner tree, AdaBoost, Sparse model.
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