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Intelligent Video Surveillance: New Perspectives
Intelligent Video Surveillance: New Perspectives
The development of new technologies based on artificial intelligence and computer vision, together with the possibility of connecting different devices together in real-time, has enabled the development and progress of intelligent video surveillance. Thanks to IoT technologies, high-resolution cameras can be networked to monitor their territory, collect recordings and have them analyzed by artificial intelligence systems trained to identify critical situations. This book discusses new achievements in intelligent video surveillance solutions and their future prospects.
The development of new technologies based on artificial intelligence and computer vision, together with the possibility of connecting different devices together in real-time, has enabled the development and progress of intelligent video surveillance. Thanks to IoT technologies, high-resolution cameras can be networked to monitor their territory, collect recordings and have them analyzed by artificial intelligence systems trained to identify critical situations. This book discusses new achievements in intelligent video surveillance solutions and their future prospects.
Published:February 8th, 2023
DOI: 10.5772/intechopen.100777
ISBN: 978-1-80356-342-8
Print ISBN: 978-1-80356-341-1
eBook (PDF) ISBN: 978-1-80356-343-5
Copyright year: 2023
Deep Learning Applications
Deep Learning Applications
Deep learning is a branch of machine learning similar to artificial intelligence. The applications of deep learning vary from medical imaging to industrial quality checking, sports, and precision agriculture. This book is divided into two sections. The first section covers deep learning architectures and the second section describes the state of the art of applications based on deep learning.
Deep learning is a branch of machine learning similar to artificial intelligence. The applications of deep learning vary from medical imaging to industrial quality checking, sports, and precision agriculture. This book is divided into two sections. The first section covers deep learning architectures and the second section describes the state of the art of applications based on deep learning.
Published: July 14th 2021
DOI: 10.5772/intechopen.91576
ISBN: 978-1-83962-375-2
Print ISBN: 978-1-83962-374-5
eBook (PDF) ISBN: 978-1-83962-376-9
Copyright year: 2021
Visual Object Tracking with Deep Neural Networks
Visual Object Tracking with Deep Neural Networks
Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections.
Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections.
Published: December 18th 2019
DOI: 10.5772/intechopen.80142
ISBN: 978-1-78985-158-8
Print ISBN: 978-1-78985-157-1
eBook (PDF) ISBN: 978-1-78985-142-7
Copyright year: 2019
Human Behavior Understanding in Networked Sensing Theory and Applications of Networks of Sensors
Human Behavior Understanding in Networked Sensing Theory and Applications of Networks of Sensors
Highly interdisciplinary in scope, bridging computer vision, networked embedded sensing and artificial intelligence. Explores both technical challenges in sensor network development, and real-world applications. Examines a broad range of applications, including surveillance, patient care, industrial safety, and sports analysis
Highly interdisciplinary in scope, bridging computer vision, networked embedded sensing and artificial intelligence. Explores both technical challenges in sensor network development, and real-world applications. Examines a broad range of applications, including surveillance, patient care, industrial safety, and sports analysis
DOI: 10.1007/978-3-319-10807-0
ISBN: 978-3-319-10806-3
Print ISBN: 978-3-319-35843-
eBook (PDF) ISBN: 978-3-319-10807-07
Copyright year: 2014
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