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Vision-Based Human Activity Recognition
Titre de l'éditeur : Vision-Based Human Activity Recognition
ZHONGXU HU
CHEN LV
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EN SAVOIR PLUS
Résumé
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 unintrusivecharacteristics. 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.
Détails
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Prix :
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75,16 $
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Catégorie :
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Auteur :
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ZHONGXU HU
CHEN LV
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Titre :
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Vision-Based Human Activity Recognition
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Date de parution :
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avril 2022
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Éditeur :
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LIVRES NUMÉRIQUES DIVERS
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Sujet :
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NUL DIVERS
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ISBN :
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9789811922909 (981192290X)
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Référence Renaud-Bray :
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3674883
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No de produit :
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3674883
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Droits numériques
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Format :
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PDF
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Disponibilité :
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Canada,
consultez la liste des pays autorisés.
Vision-Based Human Activity Recognition
De
HU , ZHONGXU*LV , CHEN
ANDORRE
ÉMIRATS ARABES UNIS
ALBANIE
ARMÉNIE
ANTARCTIQUE
ARGENTINE
SAMOA AMÉRICAINES
AUTRICHE
AUSTRALIE
AZERBAÏDJAN
BOSNIE-HERZÉGOVINE
BARBADE
BELGIQUE
BURKINA FASO
BULGARIE
BAHREÏN
BURUNDI
BÉNIN
BERMUDES
BRUNÉI DARUSSALAM
BOLIVIE
BRÉSIL
BAHAMAS
BOUVET, ÎLE
BELIZE
Canada
CONGO, LA RÉPUBLIQUE DÉMOCRATIQUE DU
CONGO
SUISSE
CÔTE D'IVOIRE
COOK, ÎLES
CHILI
CAMEROUN
CHINE
COLOMBIE
COSTA RICA
CUBA
CAP-VERT
CHRISTMAS, ÎLE
CHYPRE
TCHÈQUE, RÉPUBLIQUE
ALLEMAGNE
DJIBOUTI
DANEMARK
DOMINIQUE
DOMINICAINE, RÉPUBLIQUE
ALGÉRIE
ÉQUATEUR
ESTONIE
ÉGYPTE
ESPAGNE
FINLANDE
FALKLAND, ÎLES (MALVINAS)
FÉROÉ, ÎLES
FRANCE
GABON
GRENADE
GÉORGIE
GUYANE FRANÇAISE
GIBRALTAR
GROENLAND
GUINÉE
GUADELOUPE
GUINÉE ÉQUATORIALE
GRÈCE
GUATEMALA
GUINÉE-BISSAU
GUYANA
HONG-KONG
HEARD, ÎLE ET MCDONALD, ÎLES
HONDURAS
CROATIE
HAÏTI
HONGRIE
INDONÉSIE
IRLANDE
ISRAËL
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Gestion des droits numériques :
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Adobe DRM
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Entrepôt numérique :
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NUMILOG
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Nombre d'appareils autorisés :
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3
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Nombre de copier/coller :
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0
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Impression :
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0
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Vision-Based Human Activity Recognition
,
HU , ZHONGXU*LV , CHEN
©
LIVRES NUMÉRIQUES DIVERS
2022
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