Animation of 3D Human Model Using Markerless Motion Capture Applied To Sports

TL;DR

This paper presents a real-time markerless motion capture system that animates a 3D human model using Kinect data, with applications in sports and human-computer interaction.

Contribution

It introduces a method to transfer performer motion to a 3D model and provides a survey of related tracking techniques.

Findings

Real-time 3D human animation achieved using Kinect.

System successfully maps sports activity data to 3D models.

Open source tools facilitate model creation and animation.

Abstract

Markerless motion capture is an active research in 3D virtualization. In proposed work we presented a system for markerless motion capture for 3D human character animation, paper presents a survey on motion and skeleton tracking techniques which are developed or are under development. The paper proposed a method to transform the motion of a performer to a 3D human character (model), the 3D human character performs similar movements as that of a performer in real time. In the proposed work, human model data will be captured by Kinect camera, processed data will be applied on 3D human model for animation. 3D human model is created using open source software (MakeHuman). Anticipated dataset for sport activity is considered as input which can be applied to any HCI application.