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Pose Estimation

Revision as of 05:44, 7 June 2024 by Vrtnis (talk | contribs)

Pose estimation is a computer vision technique that predicts the configuration of a person's or object's joints or parts in an image or video.

It involves detecting and tracking the position and orientation of these parts, usually represented as keypoints.

Pose estimation is widely used in applications such as motion capture, human-computer interaction, augmented reality, and robotics. The process typically involves training machine learning models on large datasets of annotated images to accurately identify and locate the keypoints.

Pose Estimation Related Models

Sr No Model Developer Key Points Source License
1 MediaPipe Google Tracking 33 key points on the human body, offering cross-platform, customizable ML solutions MediaPipe GitHub Apache 2.0
2 Detectron2 Facebook AI Research High-performance codebase for object detection and segmentation, including pose estimation Detectron2 GitHub Apache 2.0
3 OpenPose Carnegie Mellon University Detecting key points of the human body, including hand, facial, and foot OpenPose GitHub MIT
4 MoveNet Google Research Detecting 17 critical key points of the human body MoveNet GitHub Apache 2.0
5 PoseNet Google Research Detecting different body parts, providing comprehensive skeletal information PoseNet GitHub Apache 2.0
6 DCPose Deep Dual Consecutive Network Detecting human pose from multiple frames, addressing motion blur and occlusions DCPose GitHub MIT
7 DensePose Facebook AI Research Mapping human-based pixels from an RGB image to the 3D surface of a human body DensePose GitHub Apache 2.0
8 HigherHRNet HRNet Addressing scaling differences in pose prediction, especially for shorter people HigherHRNet GitHub MIT
9 Lightweight OpenPose Daniil-Osokin Real-time inference with minimal accuracy drop, detecting human poses through key points Lightweight OpenPose GitHub MIT
10 AlphaPose MVIG-SJTU Detecting multiple individuals in various scenes, achieving high mAP on COCO and MPII datasets AlphaPose GitHub MIT


 
Mediapipe Pose Detection