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Active Stereo Tracking of $Nle 3$ Targets Using Line Scan Cameras

机译:使用线扫描相机对$ Nle 3 $目标进行主动立体跟踪

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This paper presents a general approach for the simultaneous tracking of multiple moving targets using a generic active stereo setup. The problem is formulated on the plane, where cameras are modeled as “line scan cameras,” and targets are described as points with unconstrained motion. We propose to control the active system parameters in such a manner that the images of the targets in the two views are related by a homography. This homography is specified during the design stage and, thus, can be used to implicitly encode the desired tracking behavior. Such formulation leads to an elegant geometric framework that enables a systematic and thorough analysis of the problem at hand. The benefits of the approach are illustrated by applying the framework to two distinct stereo configurations. In the first case, we assume two pan-tilt-zoom cameras, with rotation and zoom control, which are arbitrarily placed in the working environment. It is proved that such a stereo setup can track up to $N = 3$ free-moving targets, while assuring that the image location of each target is the same for both views. The second example considers a robot head with neck pan motion and independent eye rotation. For this case, it is shown that it is not possible to track more than $N=2$ targets because of the lack of zoom. The theoretical framework is used to derive the control equations, and the implementation of the tracking behavior is described in detail. The correctness of the results is confirmed through simulations and real tracking experiments.
机译:本文介绍了使用通用有源立体声设置同时跟踪多个移动目标的通用方法。该问题是在飞机上提出的,其中的相机被建模为“线扫描相机”,目标被描述为运动不受限制的点。我们建议控制主动系统参数,以使两个视图中的目标图像通过单应性相关。该单应性是在设计阶段指定的,因此可用于隐式编码所需的跟踪行为。这样的表述导致了一个优雅的几何框架,从而可以对眼前的问题进行系统而透彻的分析。通过将该框架应用于两个不同的立体声配置,可以说明该方法的好处。在第一种情况下,我们假设将两个带有旋转和缩放控制的云台变焦摄像机随意放置在工作环境中。事实证明,这种立体设置最多可以跟踪$ N = 3 $个自由移动的目标,同时确保每个目标的图像位置对于两个视图都是相同的。第二个示例考虑具有摇头动作和独立的眼睛旋转的机器人头部。对于这种情况,表明由于缺少缩放,不可能跟踪超过$ N = 2 $个目标。该理论框架用于导出控制方程,并详细描述了跟踪行为的实现。结果的正确性通过仿真和真实的跟踪实验得到证实。

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