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To improve the robustness of visual tracking in complex environments such as: cluttered backgrounds, partial occlusions, similar distraction and pose variations, a novel tracking method based on adaptive fusion and particle filter is proposed in this paper. In this method, the image color and shape cues are adaptively fused to represent the target observation; fuzzy logic is applied to dynamically adjust each cue weight according to its associated reliability in the past frame; particle filter is adopted to deal with non-linear and non-Gaussian problems in visual tracking. The method is demonstrated to be robust to illumination changes, pose variations, partial occlusions, cluttered backgrounds and camera motion for a test image sequence. 相似文献
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有理B样条曲线的光顺拟合法 总被引:3,自引:0,他引:3
研究了用三次均匀有理B样条样曲线光顺拟合一组平面点列的问题,其中光顺性由曲线的能量积分与扰动的权平均来确定。 相似文献
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