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Moving information extraction for moving-object tracking

Tracking of moving objects is one of the application techniques with complex processing for understanding input images. In this paper, we have considered optical flow which is one of moving object tracking algorithms. We proposed a new method using the Combinatorial Hough Transform (CHT) and Voting Accumulation in order to find optimal constraint lines. Also, we used the logical operation in order to release the operation time. The proposed method can extract the optical flow of the moving object. Then, the moving information was computed using the extracted optical flow. We have simulated the proposed method using test images including the noise.