Application of 3D human motion in the sports based on computer aided analysis

Abstract

3D human motion tracking is in recent years the field of machine vision is a very important research direction, it has a wide range of applications, such as human-computer interaction, intelligent animation, video surveillance and other. Currently about three-dimensional human motion tracking research mostly based multicast video, monocular video due to the depth information of the lack of the 3D human motion tracking is more difficult, and most of them monocular 3D video motion tracking only consider is parallel to the lens without occlusion of the movement. In view of the above problems using particle filtering method based on the Monte Carlo method, and combined with a priori knowledge of the human motion for monocular 3D human motion tracking is realized. Experiments show that under the complex background with rotating movements up tracking 100 frames or so, on the long time series of 3D human motion tracking and certain difficulty, need to add more complex motion prediction model and the human body mechanical constraints to guide track.