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Motion tracking of moving objects from a sequence of images is an active research area devoted to the applications of video surveillance. The motion estimation is performed by means of optical flow. In this paper, a fractional order variational model is presented for motion estimation. In particular, the proposed model generalizes the existing variational models from integer order to fractional order...
Motion estimation from underwater images is an active research area of the vision system devoted to the applications of robots. In this paper, a vision based system for tracking the motion of moving objects is presented. The aim of this paper is to give an optimal performance against radiometric features such as non-uniform lighting, blurring and noise. The moving object detection is performed by...
In this paper, we consider a modified variational energy functional for estimating optical flow from a sequence of images. The given functional incorporates the global variational model of Horn and Schunck(1981) and the classical model of Nagel and Enkelmann(1986) as a new regularisation functional, which efficiently preserve discontinuity in optical flow. In particular, the other significance of...
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