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Titlebook: Signal Processing, Image Processing and Pattern Recognition,; International Confer Dominik Ślęzak,Sankar K. Pal,Tai-hoon Kim Conference pro

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书目名称Signal Processing, Image Processing and Pattern Recognition,
副标题International Confer
编辑Dominik Ślęzak,Sankar K. Pal,Tai-hoon Kim
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Signal Processing, Image Processing and Pattern Recognition,; International Confer Dominik Ślęzak,Sankar K. Pal,Tai-hoon Kim Conference pro
描述As future generation information technology (FGIT) becomes specialized and fr- mented, it is easy to lose sight that many topics in FGIT have common threads and, because of this, advances in one discipline may be transmitted to others. Presentation of recent results obtained in different disciplines encourages this interchange for the advancement of FGIT as a whole. Of particular interest are hybrid solutions that c- bine ideas taken from multiple disciplines in order to achieve something more signi- cant than the sum of the individual parts. Through such hybrid philosophy, a new principle can be discovered, which has the propensity to propagate throughout mul- faceted disciplines. FGIT 2009 was the first mega-conference that attempted to follow the above idea of hybridization in FGIT in a form of multiple events related to particular disciplines of IT, conducted by separate scientific committees, but coordinated in order to expose the most important contributions. It included the following international conferences: Advanced Software Engineering and Its Applications (ASEA), Bio-Science and Bio-Technology (BSBT), Control and Automation (CA), Database Theory and Application (DTA), D
出版日期Conference proceedings 2009
关键词5; 1 channel; FFT; QoS; Signal; dimensionality reduction; image processing; information; multi resolution; pa
版次1
doihttps://doi.org/10.1007/978-3-642-10546-3
isbn_softcover978-3-642-10545-6
isbn_ebook978-3-642-10546-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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书目名称Signal Processing, Image Processing and Pattern Recognition,网络公开度学科排名




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书目名称Signal Processing, Image Processing and Pattern Recognition,读者反馈学科排名




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Hand Gesture Spotting Based on 3D Dynamic Features Using Hidden Markov Models,t any time delay based on Hidden Markov Models (HMMs). Color and 3D depth map are used to segment hand regions. The hand trajectory will determine in further step using Mean-shift algorithm and Kalman filter to generate 3D dynamic features. Furthermore, .-means clustering algorithm is employed for t
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