This project focuses on human pose estimation using computer vision techniques. It leverages OpenCV and MediaPipe to detect and analyze different parts of the human body, including the face, hands, ...

2D Pose Overlay: Draws skeletal landmarks directly on video frames. 3D Pose Visualization: Renders a live 3D skeleton using Matplotlib while simultaneously displaying the video feed. The goal is to ...

Researchers at Tokyo Institute of Technology (Tokyo Tech) working in collaboration with colleagues at Carnegie Mellon University, the University of St Andrews and the University of New South Wales ...

Abstract: One of the main challenges in reliable camera-based 3D pose estimation for walking subjects is to deal with self-occlusions, especially in the case of using low-resolution cameras or at ...

Abstract: For monocular 3D pose estimation conditioned on 2D detection, noisy/unreliable input is a key obstacle in this task. Simple structure constraints attempting to tackle this problem, e.g., ...

Researchers have developed a wrist-worn device for 3D hand pose estimation. The system consists of a camera that captures images of the back of the hand, and is supported by a neural network called ...