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Multi agent system for boundary detection and object tracking in image sequence based on active contours

机译:基于主动轮廓的图像序列边界检测和目标跟踪的多主体系统

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摘要

This paper proposes a new multi agent system for boundary detection and object tracking in image sequence. It exploits advantages of three elements: multi agent solution, active contour model and multi resolution treatment. The proposed system is organized as multi level structure where each level is composed of many cooperative agents. In edge detection step, snake agents in higher level of image pyramid cooperate to get object boundaries in low resolution image. Then, it transmits its result to subsystem agents of inferior level and these ones cooperate to refine object edge in next image, and so on. In the second step, high level agents migrate to the next pyramid for tracking edges in the next image of sequence, in parallel with detection step of inferior subsystem in previous image, using the same cooperation and scheduling strategy. The efficiency of the system is shown through some experimental results.
机译:本文提出了一种新的多智能体系统,用于图像序列的边界检测和目标跟踪。它利用了三个要素的优势:多主体解决方案,主动轮廓模型和多分辨率处理。所提出的系统组织为多层结构,其中每个层级由许多合作代理组成。在边缘检测步骤中,较高级别的图像金字塔中的蛇代理协作以获取低分辨率图像中的对象边界。然后,将其结果传输到下级子系统代理,这些代理协作以精炼下一幅图像中的对象边缘,依此类推。在第二步中,高级代理使用相同的协作和调度策略,与先前图像中的次子系统的检测步骤并行地迁移到下一金字塔,以跟踪序列的下一幅图像中的边缘。通过一些实验结果表明了该系统的效率。

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