From Visual Surveillance to Internet of Things: Technology and Applications

Author:   Lavanya Sharma ,  Pradeep K. Garg
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367221942


Pages:   260
Publication Date:   25 October 2019
Format:   Hardback
Availability:   In Print   Availability explained
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From Visual Surveillance to Internet of Things: Technology and Applications


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Overview

From Visual Surveillance to Internet of Things: Technology and Applications is an invaluable resource for students, academicians and researchers to explore the utilization of Internet of Things with visual surveillance and its underlying technologies in different application areas. Using a series of present and future applications – business insights, indoor-outdoor securities, smart grids, human detection and tracking, intelligent traffic monitoring, e-health department and many more – this book will support readers to obtain a deeper knowledge in implementing IoT with visual surveillance. The book offers comprehensive coverage of the most essential topics, including: The rise of machines and communications to IoT (3G, 5G) Tools and technologies of IoT with visual surveillance IoT with visual surveillance for real-time applications IoT architectures Challenging issues and novel solutions for realistic applications Mining and tracking of motion-based object data Image processing and analysis into the unified framework to understand both IOT and computer vision applications This book will be an ideal resource for IT professionals, researchers, under- or post-graduate students, practitioners, and technology developers who are interested in gaining a deeper knowledge in implementing IoT with visual surveillance, critical applications domains, technologies, and solutions to handle relevant challenges. Dr. Lavanya Sharma is an Assistant Professor in the Amity Institute of Information Technology at Amity University UP, Noida, India. She is a recipient of several prestigious awards during her academic career. She is an active nationally-recognized researcher who has published numerous papers in her field. She has contributed as an Organizing Committee member and session chair at Springer and IEEE conferences. Prof. Pradeep K. Garg worked as a Vice Chancellor, Uttarakhand Technical University, Dehradun. Presently he is working in the department of Civil Engineering, IIT Roorkee as a professor. Prof. Garg has published more than 300 technical papers in national and international conferences and journals. He has completed 26 research projects funded by various government agencies, guided 27 PhD candidates, and provided technical services to 84 consultancy projects on various aspects of Civil Engineering.

Full Product Details

Author:   Lavanya Sharma ,  Pradeep K. Garg
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   1.420kg
ISBN:  

9780367221942


ISBN 10:   0367221942
Pages:   260
Publication Date:   25 October 2019
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Part 1 Introduction to Visual Surveillance and Internet of Things: Introduction: From Visual Surveillance to Internet of Things. A Novel IoT Access Architecture Energy Efficient Solar Battery Charging System For Mobile Phones. IoT system and its applications. Part 2 Tools and Technologies of IoT with Visual Surveillance. Visual Surveillance of Human Activities: Background Subtraction Challenges and Methods. Visual Surveillance of Natural Environments: Background Subtraction Challenges and Methods. IOT and remote sensing. IOT and Cloud Computing. IOT and Artificial Intelligence. Part 3 IoT with Visual Surveillance for Real-time Applications. IOT based Speed and Direction Control of Four Quadrant DC Motor. Design of Arduino based Smart Digital LPG Detector and Level Indicator using IoT Technology. Ubiquitous Computing: A New Era of Computing. Detection of Moving Human in Vision based Smart Surveillance under Cluttered Background: An Application for IoT. Hadoop Framework: Big Data Management Platform for Internet of Things. Part 4 Challenging Issues. Histogram based Adaptive Learning Rate for Moving Person Detection in Video Surveillance. Smart E-healthcare with Internet of Things: Current Trends Challenges, Solutions and Technologies. A foresight on e-healthcare Trailblazers. Future of Internet of Things.

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