TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	REMOVE
Multi-Person Pose Estimation	PoseTrack2017	PoseTrack	Mean mAP	59.4	# 3
Pose Tracking	PoseTrack2017	PoseTrack	MOTA	48.4	# 7

🦡 Badges

Include the markdown at the top of your GitHub README.md file to showcase the performance of the model.

Badges are live and will be dynamically updated with the latest ranking of this paper.

Badge	Markdown
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/posetrack-a-benchmark-for-human-pose/multi-person-pose-estimation-on-posetrack2017)](https://paperswithcode.com/sota/multi-person-pose-estimation-on-posetrack2017?p=posetrack-a-benchmark-for-human-pose)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/posetrack-a-benchmark-for-human-pose/pose-tracking-on-posetrack2017)](https://paperswithcode.com/sota/pose-tracking-on-posetrack2017?p=posetrack-a-benchmark-for-human-pose)`

PoseTrack: A Benchmark for Human Pose Estimation and Tracking

CVPR 2018 • Mykhaylo Andriluka • Umar Iqbal • Eldar Insafutdinov • Leonid Pishchulin • Anton Milan • Juergen Gall • Bernt Schiele

Human poses and motions are important cues for analysis of videos with people and there is strong evidence that representations based on body pose are highly effective for a variety of tasks such as activity recognition, content retrieval and social signal processing. In this work, we aim to further advance the state of the art by establishing "PoseTrack", a new large-scale benchmark for video-based human pose estimation and articulated tracking, and bringing together the community of researchers working on visual human analysis... (read more)