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Heuristic search approach to shape matching in image sequences

机译:图像序列中形状匹配的启发式搜索方法

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摘要

The problem of detecting correspondences between object contours belonging to successive image frames of a dynamic scene is addressed. The object contours are represented using concave, convex, and straight line segments which are extracted after smoothing the contour with a Gaussian kernel. The matching problem is tackled using heuristic search with a state space formulation. An admissible heuristic function is designed for guiding the search. Experimental results are presented to demonstrate the capabilities of the method.
机译:解决了检测属于动态场景的连续图像帧的对象轮廓之间的对应关系的问题。对象轮廓使用凹,凸和直线段表示,这些段在用高斯核平滑轮廓后提取。使用具有状态空间公式的启发式搜索来解决匹配问题。允许的启发式功能旨在指导搜索。实验结果表明了该方法的功能。

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