摘要：在交通场景下进行多目标跟踪时，如何正确检测出车辆间的相互遮挡是影响车辆跟踪结果的关键。针对问题，运用投 影理论分析交通场景的三维几何投影特征．用长方体...

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摘要：在交通场景下进行多目标跟踪时，如何正确检测出车辆间的相互遮挡是影响车辆跟踪结果的关键。针对问题，运用投 影理论分析交通场景的三维几何投影特征．用长方体投影轮廓模型对车辆进行建模，重构其乏维投影轮廓，以进行遮挡的检 测和分离。与以往的方法相比，它在估计出的车辆外形轮廓基础t-进行遮挡检测，不需要匹配操作，计算量较小，并能解决 基于匹配的方法无法对付的初始遮挡问题。用实验验证了该算法的有效性。-In multi―object tracking of traf氍c scene。how to detect the occlusion is a key problem for vehicle tracking．A novel vehicle contour based method is prope∞d to deal with this problem．This method firstly extracts the 3D geometry character from the vehicle images according to the projecting theory，establishes the model of the vehicle with the euboid project contour，and then reconstructs its 3D project contour。detects and segments the occlusion l-e- sious．Compared with traditional method，it deals with the problem with less computation because it generates the ve・ hide contour firstly and no match calculation is needed．Moreover，this method is able to solve the initial occlusion problem，which could not be solved with matching based method．The experimental results show that the