基于在线拓扑模板更新的目标跟踪

目标跟踪是人工智能的研究热点之一。传统方法中，基于颜色直方图的目标跟踪易受背景相似颜色的影响。利用边缘方向直方图（EOH）方法对运动物体进行跟踪时，在复杂背景下其效果也会受到影响。文章对传统跟踪方法进行了改进，提出了一种利用拓扑模板进行跟踪的方法，对目标特征表示、参考模板更新部分做了相应改进。分块拓扑在保留传统跟踪方法对物体微小形变鲁棒性的同时，对被遮挡物体和形变物体有了更好的分辨能力。

Target Tracking based on Online Topology Template Update

Target tracking is one of the research focus of artificial intelligence.In the traditional method, the tracking target based on color histogram is easily affected by the similar background effects, edge orientation histogram （EOH） for moving objects tracking under complex background will also be affected.In this paper, the traditional tracing method is improved using a topology templates, improvements on feature representation and updating of target template are also made in this paper. Block topology in the traditional tracking methods not only keeps the robustness of small deformation, but also has better resolving power with the obscured objects and the deformation of targets.