Real time hand gesture recognition including hand segmentation and tracking

Thomas Coogan, George Awad, Junwei Han, Alistair Sutherland

科研成果: 书/报告/会议事项章节会议稿件同行评审

24 引用 (Scopus)

摘要

In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling occlusion between skin objects to keep track of the status of the occluded parts. This is realized by combining 3 useful features, namely, color, motion and position, (ii) A static and dynamic gesture recognition system. Static gesture recognition is achieved using a robust hand shape classification, based on PCA subspaces, that is invariant to scale along with small translation and rotation transformations, Combining hand shape classification with position information and using DHMMs allows us to accomplish dynamic gesture recognition.

源语言英语
主期刊名Advances in Visual Computing - Second International Symposium, ISVC 2006, Proceedings
出版商Springer Verlag
495-504
页数10
ISBN(印刷版)3540486283, 9783540486282
DOI
出版状态已出版 - 2006
已对外发布
活动2nd International Symposium on Visual Computing, ISVC 2006 - Lake Tahoe, NV, 美国
期限: 6 11月 20068 11月 2006

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4291 LNCS - I
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议2nd International Symposium on Visual Computing, ISVC 2006
国家/地区美国
Lake Tahoe, NV
时期6/11/068/11/06

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