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MULTI-CUE OBJECT ASSOCIATION

机译:多线索对象协会

摘要

Multiple discrete objects within a scene image captured by a single camera track are distinguished as un-labeled from a background model within a first frame of a video data input. Object position, object appearance and/or object size attributes are determined for each of the blobs, and costs determined to assign to existing blobs of existing object tracks as a function of the determined attributes. The un-labeled object blob that has a lowest cost of association with any of the existing object tracks is labeled with the label of that track having the lowest cost, said track is removed from consideration for labeling remaining un-labeled object blobs, and the process iteratively repeated until each of the track labels have been used to label one of the un-labeled blobs.
机译:由单个摄像机轨迹捕获的场景图像内的多个离散对象与未标记的视频数据输入的第一帧内的背景模型区分开。针对每个斑点确定物体位置,物体外观和/或物体尺寸属性,并根据所确定的属性来确定分配给现有物体轨迹的现有斑点的成本。与任何现有对象轨道相关联的成本最低的未标记对象斑点被标记为具有最低成本的该轨道的标签,从考虑标记剩余的未标记对象斑点的考虑中去除所述轨道,并且重复此过程,直到每个轨道标签都已用于标记未标记的斑点之一。

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