3D human motion recovery from a single video using dense spatio-temporal features with exemplar-based approach

• Main Authors: Leong, Mei Chee, Lin, Feng, Lee, Yong Tsui
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2019
• Subjects: 3D Pose Estimation; Feature Descriptors; Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• Online Access: https://hdl.handle.net/10356/90230; http://hdl.handle.net/10220/49544
• Institution: Nanyang Technological University

This study focuses on 3D human motion recovery from a sequence of video frames by using the exemplar-based approach. Conventionally, human pose tracking requires two stages: 1) estimating the 3D pose for a single frame, and 2) using the current estimated pose to predict the pose in the next frame. T...