[Invited Paper] Fast and Accurate Whole-Body Pose Estimation in the Wild and Its Applications
Jianfeng Xu, Kazuyuki Tasaka, Masashi Yamaguchi
Abstract
Recently, multi-person pose estimation techniques have drawn significant attention in both academia and industry due to their great potential utility. Here, we present a fast and accurate in-the-wild whole-body pose estimation system. Our system detects not only body keypoints, but also foot and hand keypoints, with high accuracy in real time. Furthermore, we present two typical applications of our system, in the areas of fitness and speed climbing, and describe the optimization of these applications, which has yielded both computing acceleration and improved detection accuracy.
Topics & Concepts
PoseEstimationComputer scienceArtificial intelligenceComputer visionEngineeringSystems engineeringHuman Pose and Action RecognitionAdvanced Vision and ImagingRobotics and Sensor-Based Localization