Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]
Repository for Paper: Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation (TCSVT20)
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
This repo contains links to multi-person re-identification and tracking dataset in top view multi-camera environment.
AI Watch A1: Multi-person 3D skeleton detection using Intel RealSense and OpenPose with Kafka support.
#计算机科学#Brain/Body, Entrainment, Attention, & Timing Lab @McMaster University, led by Dr. Lauren Fink