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Titlebook: Human Behavior Understanding; First International Albert Ali Salah,Theo Gevers,Alessandro Vinciarell Conference proceedings 2010 Springer-

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书目名称Human Behavior Understanding
副标题First International
编辑Albert Ali Salah,Theo Gevers,Alessandro Vinciarell
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Human Behavior Understanding; First International  Albert Ali Salah,Theo Gevers,Alessandro Vinciarell Conference proceedings 2010 Springer-
描述It was a great pleasure to organize the First International Workshop on Human Behavior Understanding (HBU), which took place as a satellite workshop to International Conference on Pattern Recognition (ICPR) on August 22, 2010, in Istanbul, Turkey. This workshop arose from the natural marriage of pattern recognitionwiththerapidlyadvancingareaofhumanbehavioranalysis.Ouraim was to gather researchersdealing with the problem of modeling human behavior under its multiple facets (expression of emotions, display of relational attitudes, performance of individual or joint actions, etc.), with particular attention to pattern recognition approaches that involve multiple modalities and those that model actual dynamics of behavior. The contiguity with ICPR, one of the most important events in the p- tern recognition and machine learning communities, is expected to foster cro- pollination with other areas, for example temporal pattern mining or time - ries analysis, which share their important methodological aspects with human behavior understanding. Furthermore, the presence of this workshop at ICPR was meant to attract researchers, in particular PhD students and postd- toral researchers, to wo
出版日期Conference proceedings 2010
关键词action recognition; activity recognition; ambient intelligence; classification; emotion recognition; gest
版次1
doihttps://doi.org/10.1007/978-3-642-14715-9
isbn_softcover978-3-642-14714-2
isbn_ebook978-3-642-14715-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Heidelberg 2010
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/h/image/428987.jpg
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Honest Signals and Their Contribution to the Automatic Analysis of Personality Traits – A Comparativs of Control. In particular, we investigate the predictive power of four classes of speech honest signal features (Conversational Activity, Emphasis, Influence, and Mimicry), along with three fidgeting visual features by systematically comparing the results obtained by classifiers using them.
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https://doi.org/10.1007/978-3-642-14715-9action recognition; activity recognition; ambient intelligence; classification; emotion recognition; gest
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Human Activity Recognition Using Inertial/Magnetic Sensor Unitsable especially in real-time applications. The classifiers are validated using different cross-validation techniques. Among the different classifiers we have considered, BDM results in the highest correct classification rate with relatively small computational cost.
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Recognizing Human Action in the Wildipts for automatic annotation of human actions in video. With this approach we automatically retrieve action samples for training and learn discriminative visual action models from a large set of movies. We further argue for the importance of scene context for action recognition and show improvement
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3D Mean-Shift Tracking of Human Body Parts and Recognition of Working Actions in an Industrial Envirition stage is conducted using 20 real-world test sequences acquired from different viewpoints in an industrial working environment. We show that our system is able to perform 3D tracking of human body parts and a subsequent recognition of working actions under difficult, realistic conditions. It de
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