SOMM: Self organizing Markov map for gesture recognition
详细信息 查看全文
- 作者：George Caridakis ; Kostas Karpouzis ; Athanasios Drosopoulos ; Stefanos Kollias
- 关键词：Gesture recognition ; Spatiotemporal pattern recognition ; Self organizing maps ; Markov models ; Gesture-based interaction
- 刊名：Pattern Recognition Letters
- 出版年：2010
- 出版时间：1 January 2010
- 年：2010
- 卷：31
- 期：1
- 页码：52-59
- 全文大小：655 K
文摘
Present work introduces a probabilistic recognition scheme for hand gestures. Self organizing feature maps are used to model spatiotemporal information extracted through image processing. Two models are built for each gesture category and, along with appropriate distance metrics, produce a validated classification mechanism that performs consistently during experiments on acted gestures video sequences. The main focus of current work is to tackle intra and inter user variability during gesture performance by adding flexibility to the decoding procedure and allowing the algorithm to perform an optimal trajectory search while the processing speed of both the feature extraction and the recognition process indicate that the proposed architecture is appropriate for real time and large scale lexicon applications.