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Automatic Unconstrained Online Configuration of a Master-Slave Camera System

机译:自动无约束在线在线配置的主从机系统

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Master-slave camera systems - consisting of a wide-angle master camera and an actively controllable pan-tilt-zoom camera - provide a large field of view, allowing monitoring the full situational context, as well as a narrow field of view, to capture sufficient details. Unconstrained calibration of such a system is a non-trivial task. In this paper a fully automatic and adaptive configuration method is proposed. It learns a motor map relating image coordinates from the master view to motor commands of the slave camera. First, a rough initial configuration is estimated by registering images from the slave camera onto the master view. In order to be operational in poorly textured environments, like hallways, the motor map is online refined by utilizing correspondences originating from moving objects. The accuracy is evaluated in different environments, as well as in the visual and the infrared spectrum. The overall accuracy is significantly improved by the online refinement.
机译:主奴摄相机系统 - 由广角主摄像头和主动可控的PAN - Tilt-Zoom Camera组成 - 提供大视野,允许监控完整的情境上下文,以及捕获的狭窄视野充分细节。这种系统的无约束校准是一种非琐碎的任务。本文提出了一种全自动和自适应配置方法。它学习从主视图与从属摄像机的电机命令相关联的电机贴图。首先,通过将来自从属摄像机的图像注册到主视图来估计粗略的初始配置。为了在纹理的环境中运行,如走廊,电机地图通过利用源自移动物体的通信来进行在线。精度在不同的环境中评估,以及视觉和红外光谱。通过在线细化,整体准确性得到了显着改善。

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