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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.
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Hybrid AI Frameworks for Intelligent Video Surveillance Systems (Paperback)
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9798240888021
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9798240888021
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9798240888021
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9798240888021
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9798240888021
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 136404994
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