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Optical Flow estimation is used to estimate displacement vectors for each pixels in two frames of a video. This displacement vector says how quickly a pixel is moving across the image and direction of movement of each pixel. According to the direction of movement, a color is assigned to each flow vector and intensity of color varies according to the magnitude of velocity. In this paper, optical flow...
Particle filter (PF) has proven successfully for nonlinear and non-Gaussian estimate problems, but its degeneracy will influence the results of tracking. Therefore in the paper, the optical flow algorithm is utilized to generate the proposal distribution of particle filter. With the velocity message which is estimated by optical flow algorithm, the particles could be generated in a right direction...
With rapid advancement in technology, numerous applications are required, such as for face and gesture recognition. However, various methods previous researchers have developed and presented suffer from limitations. Therefore, this study proposes an FPGA-based gesture recognition system by rewriting the largest computational complexity of optical flow to perform parallel processing architecture, and...
In this work we present a novel method for tracking an unknown number of objects with a single camera system in real-time. The proposed algorithm is based on high-accuracy optical flow and finite set statistics. In this framework the target state is treated as a random vector and the number of possible objects as a random number, which has to be estimated correctly. We are able to deal with false...
For improving accuracy of optical flow computation, we propose a new method to compute optical flow from both gray and color information. First, the Gauss filter is used to pre-filter the color image sequence. Then optical flow recovery is based on the method of neighborhood least squares using brightness information. And the weight coefficients of local neighborhood are determined by U and V channels...
It is a problem that the results are unstable when local method is used to estimate optical flow at smooth color points. A method was presented to estimate stability through the condition number of local coefficients matrix. And the color results of global smooth were used to replace the unstable results of local color method. The combined model was provided with the advantages of high precision of...
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