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Visual Tracking Using HOG and SVM
2016
International Journal of Advanced Engineering Research and Technology (IJAERT)
unpublished
There exist a large number of visual tracking methods with revealing success. But the challenging problem in visual tracking is to handle the appearance changes of target object because of its adaptive ability. Difficulties in tracking objects can arise due to non-rigid motion, rapid movement, large variation of pose and scale, occlusion and drifts etc. One of the main reason for such failures is that, the unsuccessful image representation schemes of many algorithms. In this paper, we present a
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