Human Pose Estimation - Methods and Applications: Analyzing methods and applications of human pose estimation for inferring body joint positions from images or videos
Keywords:
Human Pose Estimation, Computer VisionAbstract
Human pose estimation is a critical task in computer vision with applications in various fields such as healthcare, sports analysis, and human-computer interaction. This paper provides an overview of the methods and applications of human pose estimation, focusing on the inference of body joint positions from images or videos. We analyze the evolution of pose estimation techniques from traditional methods to deep learning-based approaches, highlighting their strengths and limitations. Additionally, we discuss the applications of pose estimation in areas such as action recognition, pose-based human-computer interaction, and sports analytics. This paper aims to provide researchers and practitioners with a comprehensive understanding of human pose estimation methods and their diverse applications.
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