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Human motion tracking is crucial for many important applications. In this paper we propose an approach to human motion tracking from monocular image sequences. First, a system is developed for solving the occlusion problems. The system is based on recursive least square (RLS) and genetic algorithm (GA) that introduced a new way to eliminate occlusion. Then, in order to reduce the noise of position...
A new algorithm based on facet model and Particle filter is presented to detect infrared small moving target in image sequence. Firstly, it utilizes a Bayesian based particle filter method to track the target in image sequence and get the target search window. Then the detection is performed on the image intensity surface of search window fitted by cubic facet model. The new partial derivative operators...
Video frame rate conversion is often recognized as video temporal interpolation. In this paper, a region-based approach to automated video frame rate conversion is presented. The region extraction is performed by spatially dividing the reference video frames. Since this step involves image segmentation, the resulting regions are under or over segmented. Consistent frame to frame region extraction...
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