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

灰塵

書目名稱Human Behavior Understanding影響因子(影響力)




書目名稱Human Behavior Understanding影響因子(影響力)學(xué)科排名




書目名稱Human Behavior Understanding網(wǎng)絡(luò)公開度




書目名稱Human Behavior Understanding網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Human Behavior Understanding被引頻次




書目名稱Human Behavior Understanding被引頻次學(xué)科排名




書目名稱Human Behavior Understanding年度引用




書目名稱Human Behavior Understanding年度引用學(xué)科排名




書目名稱Human Behavior Understanding讀者反饋




書目名稱Human Behavior Understanding讀者反饋學(xué)科排名

Individual

Influx

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/h/image/428987.jpg

Foolproof

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.

鼓掌

https://doi.org/10.1007/978-3-642-14715-9action recognition; activity recognition; ambient intelligence; classification; emotion recognition; gest

釘牢

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.

outrage

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

anachronistic

小說

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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