Multi-Person Pose Estimation

81 papers with code • 11 benchmarks • 7 datasets

Multi-person pose estimation is the task of estimating the pose of multiple people in one frame.

( Image credit: Human Pose Estimation with TensorFlow )

Libraries

Use these libraries to find Multi-Person Pose Estimation models and implementations

RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation

open-mmlab/mmpose 12 Dec 2023

Real-time multi-person pose estimation presents significant challenges in balancing speed and precision.

4,884
12 Dec 2023

UniPose: Detecting Any Keypoints

IDEA-Research/UniPose 12 Oct 2023

This work proposes a unified framework called UniPose to detect keypoints of any articulated (e. g., human and animal), rigid, and soft objects via visual or textual prompts for fine-grained vision understanding and manipulation.

221
12 Oct 2023

BoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation

uyoung-jeong/BoIR 25 Sep 2023

Our new instance embedding loss provides a learning signal on the entire area of the image with bounding box annotations, achieving globally consistent and disentangled instance representation.

97
25 Sep 2023

Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation

michel-liu/grouppose ICCV 2023

State-of-the-art solutions adopt the DETR-like framework, and mainly develop the complex decoder, e. g., regarding pose estimation as keypoint box detection and combining with human detection in ED-Pose, hierarchically predicting with pose decoder and joint (keypoint) decoder in PETR.

71
14 Aug 2023

LAMP: Leveraging Language Prompts for Multi-person Pose Estimation

shengnanh20/lamp 21 Jul 2023

Human-centric visual understanding is an important desideratum for effective human-robot interaction.

14
21 Jul 2023

Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity

amathislab/BUCTD 13 Jun 2023

Frequent interactions between individuals are a fundamental challenge for pose estimation algorithms.

75
13 Jun 2023

A Feasibility Study on Indoor Localization and Multi-person Tracking Using Sparsely Distributed Camera Network with Edge Computing

cliffordlab/edgecameratracking 8 May 2023

To this end, we deployed an end-to-end edge computing pipeline that utilizes multiple cameras to achieve localization, body orientation estimation and tracking of multiple individuals within a large therapeutic space spanning $1700m^2$, all while maintaining a strong focus on preserving privacy.

0
08 May 2023

RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

open-mmlab/mmpose 13 Mar 2023

Recent studies on 2D pose estimation have achieved excellent performance on public benchmarks, yet its application in the industrial community still suffers from heavy model parameters and high latency.

4,884
13 Mar 2023

Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation

idea-research/ed-pose 3 Feb 2023

This paper presents a novel end-to-end framework with Explicit box Detection for multi-person Pose estimation, called ED-Pose, where it unifies the contextual learning between human-level (global) and keypoint-level (local) information.

137
03 Feb 2023

AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time

MVIG-SJTU/AlphaPose 7 Nov 2022

Accurate whole-body multi-person pose estimation and tracking is an important yet challenging topic in computer vision.

7,647
07 Nov 2022