SpinePose is an inference library for spine-aware 2D human pose estimation in the wild. It provides a simple CLI and Python API for running inference on images and videos using pretrained models ...

OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. We show an inference time ...

Abstract: Although tremendous progress has been made in Simultaneous Localization and Mapping (SLAM), the scene rigidity assumption limits wide usage of visual SLAMs in the real-world environment of ...

Recent advances in Artificial Intelligence (AI) and Computer Vision (CV) have led to automated pose estimation algorithms using simple 2D videos. This has created the potential to perform kinematic ...

Abstract: In this paper, we presented a real-time 2D human gesture grading system from monocular images based on OpenPose, a library for real-time multi-person keypoint detection. After capturing 2D ...