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

Pose-Assisted Multi-Camera Collaboration for Active Object Tracking