# Pose-Assisted Multi-Camera Collaboration for Active Object Tracking

arXiv: https://arxiv.org/abs/2001.05161 · HTML: https://mlsanity.com/paper/2001.05161/

## Key facts

- Cited by 16 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Jan 2020.

## Built on by (most cited first, 16 of 16)

- [ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind](https://mlsanity.com/paper/2111.09189/) (2021)
- [TrackVLA: Embodied Visual Tracking in the Wild](https://mlsanity.com/paper/2505.23189/) (2025)
- [Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy](https://mlsanity.com/paper/2407.06813/) (2024)
- [Towards Distraction-Robust Active Visual Tracking](https://mlsanity.com/paper/2106.10110/) (2021)
- [Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL](https://mlsanity.com/paper/2404.09857/) (2024)
- [TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking](https://mlsanity.com/paper/2510.07134/) (2025)
- [RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking](https://mlsanity.com/paper/2304.03623/) (2023)
- [Proactive Multi-Camera Collaboration For 3D Human Pose Estimation](https://mlsanity.com/paper/2303.03767/) (2023)
- [Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking](https://mlsanity.com/paper/2202.10881/) (2022)
- [Towards Active Vision for Action Localization with Reactive Control and Predictive Learning](https://mlsanity.com/paper/2111.05448/) (2021)
- [EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization](https://mlsanity.com/paper/2506.17516/) (2025)
- [Multi-Target Active Object Tracking with Monte Carlo Tree Search and Target Motion Modeling](https://mlsanity.com/paper/2205.03555/) (2022)
- [Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras](https://mlsanity.com/paper/2401.14132/) (2024)
- [YOWO: You Only Walk Once to Jointly Map An Indoor Scene and Register Ceiling-mounted Cameras](https://mlsanity.com/paper/2511.16521/) (2025)
- [CSAOT: Cooperative Multi-Agent System for Active Object Tracking](https://mlsanity.com/paper/2501.13994/) (2025)
- [CST-WM: A Causally Structured World Model for Embodied Visual Tracking](https://mlsanity.com/paper/2609.06302/) (2026)

## Abstract (arXiv)

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.