Wii Using Only ’We’: Using Background Subtraction and Human Pose Recognition to Eliminate Game Controllers
We propose a novel human-computer interface for video gaming systems. Unlike current systems that use active sensors (e.g. Kinect), in the proposed approach, the human-poses are captured by a single camera and used to control the course of the game. This eliminates the need for traditional hand-held controllers and allows for the player to be immersed into the virtual environment of the game. The success of the approach is achieve through a robust extraction of human silhouettes and by a simple but effective human-pose recognizer. The system employs an adaptive framework for background subtraction using Adaptive Local Principal Component Analysis (ALPCA), which is able to handle sudden as well as gradual changes in background. Next, the extracted human silhouettes are used to train a appearance- based algorithm that can recognize the human poses. The excellent results reported here justify the elimination of active sensors and game controllers for many traditional games.
Human-pose Recognition Computer Vision forGame Systems Human-Computer Interfaces
Yuanqiang Dong Daniel Conrad G. N. DeSouza
Department of Electrical and Computer Engineering,University of Missouri,349 Eng. Building West,Columbia,MO,USA
国际会议
2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
上海
英文
3887-3892
2011-05-09（万方平台首次上网日期，不代表论文的发表时间）