This repository provides a TensorFlow implementation of the Convolutional Pose Machines model, a deep learning approach for 2D human body and hand pose estimation. It includes multi-stage graph construction for sequential heatmap prediction, Kalman filters for smoothing pose outputs, and a simple self-tracking module. The project supports body pose estimation, hand pose estimation, and tracking through webcam input or video files.