標題: Vision-based tracking and interpretation of human leg movement for virtual reality applications
作者: Chang, CC
Tsai, WH
資訊工程學系
Department of Computer Science
關鍵字: human-computer interaction;leg motion;Markov process;Mealy machine;virtual reality;vision-based tracking
公開日期: 1-一月-2001
摘要: A vision-based system for tracking and interpreting leg motion in image sequences using a single camera is developed for a user to control his movement in the virtual world by his legs. Twelve control commands are defined. The trajectories of the color marks placed on the shoes of the user are used to determine the types of leg movement by a first-order Markov process. Then, the types of leg movement are encoded symbolically as input to Mealy machines to recognize the control command associated with a sequence of leg movements. The proposed system is implemented on a commercial PC without any special hardware. Because the transition functions of Mealy machines are deterministic, the implementation of the proposed system is simple and the response time of the system is short, Experimental results with a 14-Hz frame rate on 320 x 240 image resolution are included to prove the feasibility of the proposed approach.
URI: http://dx.doi.org/10.1109/76.894279
http://hdl.handle.net/11536/29989
ISSN: 1051-8215
DOI: 10.1109/76.894279
期刊: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
Volume: 11
Issue: 1
起始頁: 9
結束頁: 24
顯示於類別:期刊論文


文件中的檔案:

  1. 000166439700002.pdf