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Vision-Based Human Activity Recognition / by Zhongxu Hu, Chen Lv
(SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics. ISSN:21965498)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2022
大きさ	X, 121 p. 60 illus., 57 illus. in color : online resource
著者標目	*Hu, Zhongxu author Lv, Chen author SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002871	Computer Scinece R0 2005-6,2022-3				9789811922909

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一般注記	1. Introduction -- 2. Vision-based hand gesture recognition -- 3. Vision-based facial state recognition -- 4. Vision-based body activity recognition -- 5. Human attention modelling -- 6. Conclusion and future work This book offers a systematic, comprehensive, and timely review on V-HAR, and it covers the related tasks, cutting-edge technologies, and applications of V-HAR, especially the deep learning-based approaches. The field of Human Activity Recognition (HAR) has become one of the trendiest research topics due to the availability of various sensors, live streaming of data and the advancement in computer vision, machine learning, etc. HAR can be extensively used in many scenarios, for example, medical diagnosis, video surveillance, public governance, also in human–machine interaction applications. In HAR, various human activities such as walking, running, sitting, sleeping, standing, showering, cooking, driving, abnormal activities, etc., are recognized. The data can be collected from wearable sensors or accelerometer or through video frames or images; among all the sensors, vision-based sensors are now the most widely used sensors due to their low-cost, high-quality, and unintrusive characteristics. Therefore, vision-based human activity recognition (V-HAR) is the most important and commonly used category among all HAR technologies. The addressed topics include hand gestures, head pose, body activity, eye gaze, attention modeling, etc. The latest advancements and the commonly used benchmark are given. Furthermore, this book also discusses the future directions and recommendations for the new researchers HTTP:URL=https://doi.org/10.1007/978-981-19-2290-9
件　名	LCSH:Computer vision LCSH:User interfaces (Computer systems) LCSH:Human-computer interaction LCSH:Pattern recognition systems LCSH:Artificial intelligence FREE:Computer Vision FREE:User Interfaces and Human Computer Interaction FREE:Automated Pattern Recognition FREE:Artificial Intelligence
分　類	LCC:TA1634 DC23:006.37
書誌ID	EB00002259
ISBN	9789811922909