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In this paper, we present a new object tracking scheme. Different from conventional tracking process, the proposed method is combined with video encoding and can be easily embedded into video encoding system. The only information the tracker need is Summed Absolute Difference (SAD) generated by motion estimation during encoding. These SADs are used as soft votes in a fast Hough-Transform (HT) algorithm...
Image segmentation can be considered as the process of clustering image pixels of different image features. Clustering algorithm based on ant behaviors is a parallel, self-organized algorithm with sound discreteness, positive feedback and robustness. The basic ant colony algorithm is redundant in futile program loop, random in search mechanism and of which, the result is sensitive to the initial parameters...
A novel Kalman filtering model and algorithm is proposed in the paper. We give the state equation from the Euler-Lagrange equation of the total variation model. The nonlinear partial differential equation is added with a gaussian white noise and discretized by finite difference method. Then the parameters of the state equation can be derived from the discrete equation directly. We also discuss some...
With the rapid development of science and technology and with the continuous improvement of people's safe sense, Video Surveillance System has already been widely used in several fields, such as military affairs, production, daily life and so on. As the most basic and important part of Video Surveillance System, the detection of moving objects has been paid more attention. Therefore, this paper mainly...
A pre-processing technique for potential-visible set of the region of the great 3D scenes by using the highly processing power, parallelism and general-purpose computation of GPU is presented. The precision of scene segmentation and maximum error are used to adjust the computing speed and the accuracy of the potential visible set and the required storage space, which could deeply decrease the cost...
Threshold segmentation is a critical technology of image segmentation. When the image is low signal-to-noise, the maximum between-cluster variance method (OTSU) cannot provide the ideal result. The 2D maximum between-cluster variance method can perform well with sharply increased computation. This work proposes a new image segmentation method based on OTSU and differential evolution. This solution...
The fundamental technique of vision-based multi-touch technique is the high performance image processing. In this paper, two algorithms are presented to resolve the problems of blob recognition and tracking. Image contour transformation algorithm is adopted to analyze the existence of finger contact area and Minimum Distance First (MDF) algorithm is designed to identify and track the corresponding...
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