A Stereoscopic Approach for the Association of People Tracks in Video Surveillance Systems
A Stereoscopic Approach for the Association of People Tracks in Video Surveillance Systems
复制标题
视频监控系统中人物轨迹关联的立体方法
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
C. Heipke
中科院分区：
文献类型：
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作者：
Moritz Menze;Tobias Klinger;Daniel Muhle;J. Metzler;C. Heipke
分析（柯林斯等人，2001）。场景中的人的对象坐标已知得越准确，就可以关于被跟踪的人之间的运动模式或交互进行越详细的分析。在本文中，我们提出了一种方法，产生一致的全球轨道的人在非拥挤的情况下。轨迹计算在一个共同的参考框架从多个监视摄像机的观察。在我们的工作中的一个重要步骤是估计身高，以及一个可靠的协会的轨道部分重叠的意见。为此，立体分析应用于重叠部分的图像，这些图像是在用多个PTZ摄像机扫描宽区域时随机产生的
analyses (COLLINS et al. 2001). The more accurate the object coordinates of people in the scene are known, the more detailed analyses can be conducted with respect to motion patterns or interactions between tracked people. In this paper we present an approach that generates consistent global tracks of people in non-crowded scenarios. The trajectories are calculated in a common reference frame from observations of multiple surveillance cameras. An important step in our work is the estimation of body height as well as a reliable association of tracks across partly overlapping views. For that purpose, stereoscopic analysis is applied to overlapping parts of images which are either generated randomly while scanning wide areas with several PTZ cam