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Distributed dynamic target tracking method by block diagonalization of topological matrix

机译:拓扑矩阵块对角化的分布式动态目标跟踪方法

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摘要

Today, movement recognition becomes a highlight in visual analysis. One problem in movement recognition is that existing characteristics of moving objects cannot be applied to recognize moving targets with similar color components and different color structures, which can be easily recognized by human vision. So, in this paper, a novel target tracking method is presented by both color topology and movement features. First, color topology of moving targets is extracted based on analysis of visual mechanism in human vision. In this way, the topology is processed as block diagonal matrix and divided to sub-topological matrices. Then, moving targets are recognized by both similarity of color topological matrices and movement features. Finally, a distributed dynamic tracking method is presented by the division of moving targets because of the huge computation of movement recognition and topological similarity. Experimental results show the high accuracy and real-time of the proposed method.
机译:如今,运动识别已成为视觉分析中的一大亮点。运动识别中的一个问题是,不能将运动对象的现有特征应用于识别具有相似颜色成分和不同颜色结构的运动目标,而人类视觉很容易识别出该运动目标。因此,本文从色彩拓扑和运动特征两方面提出了一种新颖的目标跟踪方法。首先,基于对人类视觉视觉机制的分析,提取运动目标的颜色拓扑。以这种方式,将拓扑处理为块对角矩阵,并将其划分为子拓扑矩阵。然后,通过颜色拓扑矩阵的相似性和运动特征来识别运动目标。最后,由于对运动识别和拓扑相似度的大量计算,提出了一种按运动目标划分的分布式动态跟踪方法。实验结果表明,该方法具有较高的准确性和实时性。

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