ICCV 2023 (Oral)
Rawal Khirodkar1, Aayush Bansal2, Lingni Ma2, Richard Newcombe2, Minh Vo2, Kris Kitani1
We present EgoHumans, a new multi-view multi-human video benchmark to advance the state-of-the-art of egocentric human 3D pose estimation and tracking. Existing egocentric benchmarks either capture single subject or indooronly scenarios, which limit the generalization of computer vision algorithms for real-world applications. We propose a novel 3D capture setup to construct a comprehensive egocentric multi-human benchmark in the wild with annotations to support diverse tasks such as human detection, tracking, 2D/3D pose estimation, and mesh recovery. We leverage consumer-grade wearable camera-equipped glasses for the egocentric view, which enables us to capture dynamic activities like playing tennis, fencing, volleyball, etc. Furthermore, our multi-view setup generates accurate 3D ground truth even under severe or complete occlusion. The dataset consists of more than 125k egocentric images, spanning diverse scenes with a particular focus on challenging and unchoreographed multi-human activities and fast-moving egocentric views. We rigorously evaluate existing state-of-the-art methods and highlight their limitations in the egocentric scenario, specifically on multi-human tracking. To address such limitations, we propose EgoFormer, a novel approach with a multi-stream transformer architecture and explicit 3D spatial reasoning to estimate and track the human pose. EgoFormer significantly outperforms prior art by 13.6% IDF1 on the EgoHumans dataset
- 📦Bounding Box Detection
- 🕺2D Pose Estimation
- 🛤️Tracking: Official benchmark from main paper.
@article{khirodkar2023egohumans,
title={EgoHumans: An Egocentric 3D Multi-Human Benchmark},
author={Khirodkar, Rawal and Bansal, Aayush and Ma, Lingni and Newcombe, Richard and Vo, Minh and Kitani, Kris},
journal={arXiv preprint arXiv:2305.16487},
year={2023}
}
Aria Toolkit, COLMAP, mmpose, mmhuman3D, CLIFF, timm, detectron2, mmcv, mmdet, mmtrack.
- For help and issues associated with EgoHumans, or reporting a bug, please open a GitHub Issue.
- Please contact Rawal Khirodkar (
rawalk@meta.com) for any queries.