  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.
