On-Device, Real-Time Hand Tracking with MediaPipe
Posted by Valentin Bazarevsky and Fan Zhang, Research Engineers, Google Research The ability to perceive the shape and motion of hands can be a v...
pose-estimation
A Code Implementation for Advanced Human Pose Estimation Using MediaPipe, OpenCV and Matplotlib
A Code Implementation Guide to Advanced Human Pose Estimation using MediaPipe, OpenCV and Matplotlib
Meet SwimXYZ: A Synthetic Dataset of Swimming Motions and Videos Containing
Human motion capture has emerged as a key tool in various industries, including sports, medical, and character animation for the entertainment sector. Motion capture is utilized in sports for multiple purposes, including injury prevention, injury analysis, video game industry…
HRNet explained: Human Pose Estimation, Semantic Segmentation and Object De
Revealing whats behind the state-of-the art algorithm HRNet
Gentle introduction to 2D Hand Pose Estimation: Approach Explained
Detailed tutorial on where to find a dataset, how to preprocess data, what model architecture and loss to use, and, finally, how to…
Browse the State-of-the-Art in Machine Learning | Papers With Code
**Pose Estimation** is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation. A common…
FORTH-ModelBasedTracker/MocapNET: We present MocapNET, an ensemble of SNN e
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocula...
Feature Boosting Network For 3D Pose Estimation
In this paper, a feature boosting network is proposed for estimating 3D hand pose and 3D body pose from a single RGB image. In this method, the features learned by the convolutional layers are boosted with a new long short-term dependence-aware (LSTD) module, which enables the…
Machine learning for everyone: How to implement pose estimation in a browse
The 20th century turned out to be an era of exponential growth in the field of machine learning. The 3000-year-old ancient game of ‘Go’ that computer scientists predicted will take another decade to crack was made possible by Google Brai