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Titlebook: Gesture Recognition; Sergio Escalera,Isabelle Guyon,Vassilis Athitsos Book 2017 Springer International Publishing AG 2017 Artificial intel

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發(fā)表于 2025-3-21 16:57:50 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Gesture Recognition
編輯Sergio Escalera,Isabelle Guyon,Vassilis Athitsos
視頻videohttp://file.papertrans.cn/386/385191/385191.mp4
概述Gives readers a comprehensive analysis on gesture recognition, defining a new taxonomy for the field.Focusses on supervised machine learning methods for gesture recognition.Presents an open-source C++
叢書名稱The Springer Series on Challenges in Machine Learning
圖書封面Titlebook: Gesture Recognition;  Sergio Escalera,Isabelle Guyon,Vassilis Athitsos Book 2017 Springer International Publishing AG 2017 Artificial intel
描述.This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures..
出版日期Book 2017
關鍵詞Artificial intelligence; Image processing; Gesture recognition; Motion sensing; Computer vision
版次1
doihttps://doi.org/10.1007/978-3-319-57021-1
isbn_softcover978-3-319-86059-6
isbn_ebook978-3-319-57021-1Series ISSN 2520-131X Series E-ISSN 2520-1328
issn_series 2520-131X
copyrightSpringer International Publishing AG 2017
The information of publication is updating

書目名稱Gesture Recognition影響因子(影響力)




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沙發(fā)
發(fā)表于 2025-3-21 21:54:25 | 只看該作者
978-3-319-86059-6Springer International Publishing AG 2017
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地板
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Qing Zhu,Xiaoxia Yang,Haifeng Li appearance data as well as those inferred from both 2D or 3D tracking data. These sub-units are then combined using a sign level classifier; here, two options are presented. The first uses Markov Models to encode the temporal changes between sub-units. The second makes use of Sequential Pattern Boo
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發(fā)表于 2025-3-22 18:09:58 | 只看該作者
Spatial Epidemiology and Public Health,to create gestures easily distinguishable from users’ normal movements. Our tool MAGIC Summoning addresses this problem. Given a specific platform and task, we gather a large database of unlabeled sensor data captured in the environments in which the system will be used (an “Everyday Gesture Library
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G. B. M. Heuvelink,F. M. van Egmonde continuous and the categorical model. The continuous model defines each facial expression of emotion as a feature vector in a face space. This model explains, for example, how expressions of emotion can be seen at different intensities. In contrast, the categorical model consists of . classifiers,
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