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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...
Time delay estimation is important task in many signal processing application. Cost function parameter is used for estimating true delya's. In this paper we have modified the cost function by taking into account the low pass filtering characteristics of channel. Results obtained are calculated with the help of accuracy percentage.
In this paper, a novel phase based approach using fractional dual tree complex wavelet transform (FrDT-CWT) is proposed for computing disparity flow from a given sequence of images. In the proposed approach, the complex valued function of an image using FrFT is obtained and phases are computed from the complex analytic signal. Disparity is then estimated as the optical flow using the phase difference...
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