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Vision-Based Human Activity Recognition

Af: Zhongxu Hu, Chen Lv Engelsk Paperback

Vision-Based Human Activity Recognition

Af: Zhongxu Hu, Chen Lv Engelsk Paperback
Tjek vores konkurrenters priser

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.

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Tjek vores konkurrenters priser

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.

Produktdetaljer
Sprog: Engelsk
Sider: 121
ISBN-13: 9789811922893
Indbinding: Paperback
Udgave:
ISBN-10: 9811922896
Udg. Dato: 23 apr 2022
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 23 apr 2022
Forfatter(e): Zhongxu Hu, Chen Lv
Forfatter(e) Zhongxu Hu, Chen Lv


Kategori Mønstergenkendelse


ISBN-13 9789811922893


Sprog Engelsk


Indbinding Paperback


Sider 121


Udgave


Længde 0mm


Bredde 155mm


Højde 235mm


Udg. Dato 23 apr 2022


Oplagsdato 23 apr 2022


Forlag Springer Verlag, Singapore

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