A Guide to Human Pose Estimation for AI

Human pose estimation and tracking is a computer vision task that includes detecting, associating, and tracking semantic key points. Examples of semantic key points are "right shoulders," "left knees," or the "left brake lights of vehicles." The performance of semantic keypoint tracking in live video footage requires high computational resources which has been limiting the accuracy of pose estimation. With the latest advances, new applications with real-time requirements become possible, such as self-driving cars and last-mile delivery robots. Today, the most powerful image processing models are based on convolutional neural networks (CNNs).