Pose Estimation, Action Recognition, AI, Computer Vision, Deep Learning.
consists of two components: a pose estimation model that translates input frames into a skeleton of key points, and a second neural network that learns to classify a sequence of input skeletons to the corresponding activity. A recent approach with excellent results is the use of a spatial-temporal