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Parametric Tracking Across Multiple Cameras with Spatial Estimation
IETE Journal of Research ( IF 1.5 ) Pub Date : 2020-11-26 , DOI: 10.1080/03772063.2020.1844065
Patrick Sebastian 1 , Yap Vooi Voon 2 , Richard Comley 3
Affiliation  

This paper presents a method of tracking a target based on the combination of parameters between colour blobs. Apart from tracking targets based on parameters between colour regions, the blob parameters can be used as a means for estimating the spatial location of the target relative to the location of the cameras. The blobs are obtained by segmenting the overall target into multiple colour regions. The colour regions are segmented using the EM method. After segmentation into different regions on different colour layers, parameters can be generated between colour regions of interest. In this instance, the colour regions of interest are the top and bottom colour regions. Parameters between colour regions of interest were the vector magnitude, vector angle and the value difference between colour regions. These parameters are used for tracking the target of interest across an array of cameras which in this instance are three cameras. The summarized results of tracking targets across three cameras have shown that parameters between colour regions have the capability to track targets across cameras. In addition to tracking targets across multiple cameras, the work presented in this paper also shows the capability of estimating spatial information based on tracking of targets as it moves across different camera view fields. The spatial information that can be estimated from an array of cameras with non-overlapping view fields is distance estimation of the target from camera and distance estimation between cameras.



中文翻译:

具有空间估计的跨多个摄像机的参数化跟踪

本文提出了一种基于颜色斑点间参数组合的目标跟踪方法。除了基于颜色区域之间的参数跟踪目标之外,blob 参数还可以用作估计目标相对于相机位置的空间位置的手段。斑点是通过将整个目标分割成多个颜色区域而获得的。使用 EM 方法分割颜色区域。在不同颜色层上分割成不同区域后,可以在感兴趣的颜色区域之间生成参数。在这种情况下,感兴趣的颜色区域是顶部和底部颜色区域。感兴趣的颜色区域之间的参数是矢量幅度、矢量角度和颜色区域之间的值差。这些参数用于跨​​摄像机阵列跟踪感兴趣的目标,在本例中是三个摄像机。三个摄像头跟踪目标的总结结果表明,颜色区域之间的参数具有跨摄像头跟踪目标的能力。除了跨多个摄像机跟踪目标外,本文介绍的工作还展示了在目标跨不同摄像机视野移动时基于目标跟踪来估计空间信息的能力。可以从具有非重叠视场的相机阵列估计的空间信息是目标与相机的距离估计和相机之间的距离估计。三个摄像头跟踪目标的总结结果表明,颜色区域之间的参数具有跨摄像头跟踪目标的能力。除了跨多个摄像机跟踪目标外,本文介绍的工作还展示了在目标跨不同摄像机视野移动时基于目标跟踪来估计空间信息的能力。可以从具有非重叠视场的相机阵列估计的空间信息是目标与相机的距离估计和相机之间的距离估计。三个摄像头跟踪目标的总结结果表明,颜色区域之间的参数具有跨摄像头跟踪目标的能力。除了跨多个摄像机跟踪目标外,本文介绍的工作还展示了在目标跨不同摄像机视场移动时基于目标跟踪来估计空间信息的能力。可以从具有非重叠视场的相机阵列估计的空间信息是目标与相机的距离估计和相机之间的距离估计。本文介绍的工作还展示了基于目标在不同相机视野中移动时的跟踪来估计空间信息的能力。可以从具有非重叠视场的相机阵列估计的空间信息是目标与相机的距离估计和相机之间的距离估计。本文介绍的工作还展示了基于目标在不同相机视野中移动时的跟踪来估计空间信息的能力。可以从具有非重叠视场的相机阵列估计的空间信息是目标与相机的距离估计和相机之间的距离估计。

更新日期:2020-11-26
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