Active Object Tracking (AOT) is crucial to many visionbased applications, e.g., mobile robot, intelligent surveillance. However, there are a number of challenges when deploying active tracking in complex scenarios, e.g., target is frequently occluded by obstacles. In this paper, we extend the single-camera AOT to a multi-camera setting, where cameras tracking a target in a collaborative fashion. To achieve effective collaboration among cameras, we propose a novel Pose-Assisted Multi-Camera Collaboration System, which enables a camera to cooperate with the others by sharing camera poses for active object tracking. In the system, each camera is equipped with two controllers and a switcher: The vision-based controller tracks targets based on observed images. The pose-based controller moves the camera in accordance to the poses of the other cameras. At each step, the switcher decides which action to take from the two controllers according to the visibility of the target. The experimental results demonstrate that our system outperforms all the baselines and is capable of generalizing to unseen environments. The code and demo videos are available on our website https://sites.google.com/view/pose-assistedcollaboration.

中文翻译：

---

用于主动对象跟踪的姿势辅助多相机协作

主动对象跟踪 (AOT) 对许多基于视觉的应用至关重要，例如移动机器人、智能监控。然而，在复杂场景中部署主动跟踪时存在许多挑战，例如，目标经常被障碍物遮挡。在本文中，我们将单摄像头 AOT 扩展到多摄像头设置，其中摄像头以协作方式跟踪目标。为了实现相机之间的有效协作，我们提出了一种新颖的姿势辅助多相机协作系统，该系统通过共享相机姿势以进行主动对象跟踪，使相机能够与其他相机进行协作。在系统中，每台摄像机配备两个控制器和一个切换器：基于视觉的控制器根据观察到的图像跟踪目标。基于姿势的控制器根据其他相机的姿势移动相机。在每一步，切换器根据目标的可见性决定从两个控制器采取哪个动作。实验结果表明，我们的系统优于所有基线，并且能够推广到看不见的环境。代码和演示视频可在我们的网站 https://sites.google.com/view/pose-assistancecollaboration 上找到。