Items related to Hybrid AI Frameworks for Intelligent Video Surveillance...
Synopsis
Hybrid AI Frameworks for Intelligent Video Surveillance Systems explores the integration of artificial intelligence, machine learning, deep learning, and computer vision for the development of intelligent video surveillance systems. The book examines how modern AI techniques can transform conventional video monitoring into automated systems capable of analyzing visual information, recognizing patterns, and supporting real-time decision-making.
The book introduces fundamental concepts in intelligent video analytics, image and video processing, computer vision, machine learning, and deep learning. It discusses hybrid AI frameworks that combine multiple computational approaches to improve the analysis of surveillance footage, including object detection, activity recognition, visual classification, and event analysis.
Particular attention is given to the development of intelligent surveillance pipelines, including video data acquisition, preprocessing, feature extraction, model training, classification, detection, and performance evaluation. The book also considers practical challenges associated with real-world surveillance environments, including large-scale video data, varying lighting conditions, complex scenes, system reliability, and real-time processing requirements.
By connecting hybrid artificial intelligence techniques with intelligent video surveillance, this book provides a useful reference for students, researchers, data scientists, computer vision professionals, security technology specialists, and practitioners working in artificial intelligence and video analytics. It is particularly relevant to readers interested in developing automated and intelligent systems for visual monitoring, event detection, and security-oriented applications.
"synopsis" may belong to another edition of this title.
Search results for Hybrid AI Frameworks for Intelligent Video Surveillance...
Stock Image
Hybrid AI Frameworks for Intelligent Video Surveillance Systems (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Hybrid AI Frameworks for Intelligent Video Surveillance Systems explores the integration of artificial intelligence, machine learning, deep learning, and computer vision for the development of intelligent video surveillance systems. The book examines how modern AI techniques can transform conventional video monitoring into automated systems capable of analyzing visual information, recognizing patterns, and supporting real-time decision-making.The book introduces fundamental concepts in intelligent video analytics, image and video processing, computer vision, machine learning, and deep learning. It discusses hybrid AI frameworks that combine multiple computational approaches to improve the analysis of surveillance footage, including object detection, activity recognition, visual classification, and event analysis.Particular attention is given to the development of intelligent surveillance pipelines, including video data acquisition, preprocessing, feature extraction, model training, classification, detection, and performance evaluation. The book also considers practical challenges associated with real-world surveillance environments, including large-scale video data, varying lighting conditions, complex scenes, system reliability, and real-time processing requirements.By connecting hybrid artificial intelligence techniques with intelligent video surveillance, this book provides a useful reference for students, researchers, data scientists, computer vision professionals, security technology specialists, and practitioners working in artificial intelligence and video analytics. It is particularly relevant to readers interested in developing automated and intelligent systems for visual monitoring, event detection, and security-oriented applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798240888021
Stock Image
Hybrid AI Frameworks for Intelligent Video Surveillance Systems
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9798240888021
Stock Image
Hybrid AI Frameworks for Intelligent Video Surveillance Systems
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798240888021
Stock Image
Hybrid AI Frameworks for Intelligent Video Surveillance Systems
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798240888021
Buy New
£ 23.41
£ 3.29 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
Hybrid AI Frameworks for Intelligent Video Surveillance Systems
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Hybrid AI Frameworks for Intelligent Video Surveillance Systems explores the integration of artificial intelligence, machine learning, deep learning, and computer vision for the development of intelligent video surveillance systems. The book examines how modern AI techniques can transform conventional video monitoring into automated systems capable of analyzing visual information, recognizing patterns, and supporting real-time decision-making.The book introduces fundamental concepts in intelligent video analytics, image and video processing, computer vision, machine learning, and deep learning. It discusses hybrid AI frameworks that combine multiple computational approaches to improve the analysis of surveillance footage, including object detection, activity recognition, visual classification, and event analysis.Particular attention is given to the development of intelligent surveillance pipelines, including video data acquisition, preprocessing, feature extraction, model training, classification, detection, and performance evaluation. The book also considers practical challenges associated with real-world surveillance environments, including large-scale video data, varying lighting conditions, complex scenes, system reliability, and real-time processing requirements.By connecting hybrid artificial intelligence techniques with intelligent video surveillance, this book provides a useful reference for students, researchers, data scientists, computer vision professionals, security technology specialists, and practitioners working in artificial intelligence and video analytics. It is particularly relevant to readers interested in developing automated and intelligent systems for visual monitoring, event detection, and security-oriented applications. 150 pp. Englisch. Seller Inventory # 9798240888021
Stock Image
Hybrid AI Frameworks for Intelligent Video Surveillance Systems (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Hybrid AI Frameworks for Intelligent Video Surveillance Systems explores the integration of artificial intelligence, machine learning, deep learning, and computer vision for the development of intelligent video surveillance systems. The book examines how modern AI techniques can transform conventional video monitoring into automated systems capable of analyzing visual information, recognizing patterns, and supporting real-time decision-making.The book introduces fundamental concepts in intelligent video analytics, image and video processing, computer vision, machine learning, and deep learning. It discusses hybrid AI frameworks that combine multiple computational approaches to improve the analysis of surveillance footage, including object detection, activity recognition, visual classification, and event analysis.Particular attention is given to the development of intelligent surveillance pipelines, including video data acquisition, preprocessing, feature extraction, model training, classification, detection, and performance evaluation. The book also considers practical challenges associated with real-world surveillance environments, including large-scale video data, varying lighting conditions, complex scenes, system reliability, and real-time processing requirements.By connecting hybrid artificial intelligence techniques with intelligent video surveillance, this book provides a useful reference for students, researchers, data scientists, computer vision professionals, security technology specialists, and practitioners working in artificial intelligence and video analytics. It is particularly relevant to readers interested in developing automated and intelligent systems for visual monitoring, event detection, and security-oriented applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798240888021
Buy New
£ 26.99
£ 37 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Stock Image
Hybrid AI Frameworks for Intelligent Video Surveillance Systems (Paperback)
Print on DemandSeller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Hybrid AI Frameworks for Intelligent Video Surveillance Systems explores the integration of artificial intelligence, machine learning, deep learning, and computer vision for the development of intelligent video surveillance systems. The book examines how modern AI techniques can transform conventional video monitoring into automated systems capable of analyzing visual information, recognizing patterns, and supporting real-time decision-making.The book introduces fundamental concepts in intelligent video analytics, image and video processing, computer vision, machine learning, and deep learning. It discusses hybrid AI frameworks that combine multiple computational approaches to improve the analysis of surveillance footage, including object detection, activity recognition, visual classification, and event analysis.Particular attention is given to the development of intelligent surveillance pipelines, including video data acquisition, preprocessing, feature extraction, model training, classification, detection, and performance evaluation. The book also considers practical challenges associated with real-world surveillance environments, including large-scale video data, varying lighting conditions, complex scenes, system reliability, and real-time processing requirements.By connecting hybrid artificial intelligence techniques with intelligent video surveillance, this book provides a useful reference for students, researchers, data scientists, computer vision professionals, security technology specialists, and practitioners working in artificial intelligence and video analytics. It is particularly relevant to readers interested in developing automated and intelligent systems for visual monitoring, event detection, and security-oriented applications. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798240888021
Stock Image
Hybrid AI Frameworks for Intelligent Video Surveillance Systems
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Hybrid AI Frameworks for Intelligent Video Surveillance Systems explores the integration of artificial intelligence, machine learning, deep learning, and computer vision for the development of intelligent video surveillance systems. The book examines how modern AI techniques can transform conventional video monitoring into automated systems capable of analyzing visual information, recognizing patterns, and supporting real-time decision-making.The book introduces fundamental concepts in intelligent video analytics, image and video processing, computer vision, machine learning, and deep learning. It discusses hybrid AI frameworks that combine multiple computational approaches to improve the analysis of surveillance footage, including object detection, activity recognition, visual classification, and event analysis.Particular attention is given to the development of intelligent surveillance pipelines, including video data acquisition, preprocessing, feature extraction, model training, classification, detection, and performance evaluation. The book also considers practical challenges associated with real-world surveillance environments, including large-scale video data, varying lighting conditions, complex scenes, system reliability, and real-time processing requirements.By connecting hybrid artificial intelligence techniques with intelligent video surveillance, this book provides a useful reference for students, researchers, data scientists, computer vision professionals, security technology specialists, and practitioners working in artificial intelligence and video analytics. It is particularly relevant to readers interested in developing automated and intelligent systems for visual monitoring, event detection, and security-oriented applications. Seller Inventory # 9798240888021
Seller Image
Hybrid AI Frameworks for Intelligent Video Surveillance Systems
Print on DemandSeller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Hybrid AI Frameworks for Intelligent Video Surveillance Systems | Yahya | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798240888021 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 136404994