Body Pose Estimation

Body pose estimation, a computer vision task, aims to identify and locate the keypoints of a human body within an image or video. Current research emphasizes improving accuracy and efficiency, particularly for complex poses in sports, yoga, and dance, often employing deep convolutional neural networks and increasingly, vision transformers, which demonstrate scalability and adaptability across diverse datasets and tasks. This field is significant for applications ranging from gait analysis for security and personalized fitness to assistive technologies and human-computer interaction, driving advancements in both algorithm design and data collection methodologies.