Extraction and integration of human body parts for 3-D motion analysis of golf swing from single-camera video sequences

We present a framework for analyzing the human body 3-D motion of golf swing from single-camera video sequences. The system is different from the methods in the literature as it evaluates the 3D model for each major body pall separately to derive a more accurate 3D representation. The human body parts used for the analysis are automatically extracted using a video object segmentation technique. This two-dimensional information estimated from the segmented body parts is utilized to obtain three-dimensional body part models, consisting of head upper arms, lower arms, body trunk, upper legs, lower legs and feet. The objective of the system is to obtain the 3-D motion information for performance evaluation in golf swinging and comparing this information for different players.