The Extraction Method of Major Articulation Points for 3D Interaction Games

• 영문명: The Extraction Method of Major Articulation Points for 3D Interaction Games
• 발행기관: 한국컴퓨터게임학회
• 저자명: Ho-Wook Jang In-Kwon Kim Kwan-Hee Yoo
• 간행물 정보: 『한국컴퓨터게임학회논문지』제29권 2호, 1~10쪽, 전체 10쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2016.06.30

영문 초록

Action recognition technology has many application fields including gaming, human-computer interaction, security, virtual reality, etc. The technology has recently advanced and simplified by the introduction of real time depth cameras. The most famous depth camera, Kinect, has shown its success in human action recognitions by supervised learning methods. However, those method require a large number of motion capture data as the ground truth of each skeleton points. This paper proposes a human skeleton extraction method without using reference data. The method extracts the minimum number of articulation points instead of full skeleton data. The articulation points are used as an real-time interface for 3D interaction games.

목차

1. Introduction

2. Related Works

3. The Proposed Method to Extract Major Articulation Points

4. Implementation results and Application

5. Conclusion and Application Plan

키워드

action recognition depth map articulation points skeleton gesture point