个人理解

创新点：
- 将多摄像机主动目标跟踪问题描述为一个部分可观测的多智能体合作博弈。将马尔可夫博弈扩展到部分观测
- 设计了 Pose-Assisted Multi-Camera Collaboration System
**怎么做：**将单摄像机AOT扩展为多摄像机AOT，在多摄像机环境中，摄像机以协作的方式跟踪目标,即提出了 **Pose-Assisted Multi-Camera Collaboration System，**在该系统中，一个摄像机可以通过共享摄像机的姿态与其他摄像机合作进行主动目标跟踪。

一、摘要

Active Object Tracking (AOT) is crucial to many vision-based 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-assisted-collaboration.