Human-Computer Interaction By A Robust Hand Tracking Method
The interaction between man and computer has become an important topic as it can generalize the use of computers, robots and other intelligent machines. For active H/R interaction scheme, the computer needs to detect human faces in its vicinity and then interpret canonical gestures. In this paper, we firstly present a method to track the hands robustly in videos recorded by a camera, and then by compute the similarity of the trajectories of the hands motion, we can interact with computer by some simple sign languages. An efficient color segmentation on the skin-like colored pixels is used. Then we locate the hands by a fast optic flow method which is computed only by the skin-like image blocks. At the last stage, we get the hand motion trajectory and map it to a string. By String Edit Distance method, we can compute the similarity of the string representing input hand command with some template strings denoting sign language pre-trained and stored in database.
Hand Tracking String Edit Distance HumanMachine Interaction
Shilin Zhang Hai Wang
Faculty of Computer Science, Network and Information Management Center North China University of Technology Beijing, China
国际会议
武汉
英文
13-16
2010-12-04（万方平台首次上网日期，不代表论文的发表时间）