会议专题

Content-based Hand Language Video Searching under Complex Background

In this paper, we solve the searching problem by high level features used by hand language recognition. Firstly, we find the face in video frames that has complex background, and then we find the left hand and right hand in specific areas. By computing the hands’ length, position, velocity, acceleration, Fourier figure descriptor and etc, we generate the hands’ dynamic features. Consequently, we segment the video frames by motion features. As for each segment, we generate a HMM. When a clip of hand language inputs, we also get the feature serials, and then we compare the possibility of the input serials in each HMM. Experiment results on a large of hand language videos show that our searching system performs much better than existing methods on hand language video searching systems. Compared with the traditional methods, our system reduces the average searching time by half and the searching precision has doubled.

Hand language HMM DTW Content-based video searching

Shilin Zhang Shuwu Zhang

Faculty of Computer Science,Network and Information Management Center North China University of Tech High technology & innovation center Institute of Automation Chinese Academy of Science Beijing,China

国际会议

2010 IEEE信息与自动化国际会议(ICIA 2010)

哈尔滨

英文

1-5

2010-06-20(万方平台首次上网日期,不代表论文的发表时间)