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Tracking objects from video become one of the extensively studied research with the advent of artificial intelligence. The problem is divided into two parts: detection of object in each video frame and association of the same object over time to make the tracking happen.
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This source paper propose a new type of bounding box pruning technique called set-nms . Conventional nms (non-maximum suppression) over-kills predictions in highly overlapped objects. Because nms is not a learned process of pruning boxes. This paper proposes a model which predicts multiple instance at once, more specifically two boxes at once and after ward set-nms box pruning is used which outputs final selected boxes…