Proactive Multi-Camera Collaboration For 3D Human Pose Estimation

Understand

This paper presents a multi-agent reinforcement learning (MARL) scheme for proactive Multi-Camera Collaboration in 3D Human Pose Estimation in dynamic human crowds.

• Traditional fixed-viewpoint multi-camera solutions for human motion capture (MoCap) are limited in capture space and susceptible to dynamic occlusions.
• Active camera approaches proactively control camera poses to find optimal viewpoints for 3D reconstruction.
• However, current methods still face challenges with credit assignment and environment dynamics.