Video Data Analytics for Smart City Applications : Methods and Trends / edited by Abhishek Singh Rathore [and four others].

Format:

Book

Author/Creator:

Rathore, Abhishek Singh, Author.

Contributor:

Rathore, Abhishek Singh, editor.

Series:

IoT and Big Data Analytics Series

IoT and Big Data Analytics Series ; Volume 1

Language:

English

Subjects (All):

Big data.

Internet of things.

Machine learning.

Physical Description:

1 online resource (150 pages)

Edition:

First edition.

Place of Publication:

Singapore : Bentham Science Publishers Pte. Ltd., 2023.

Summary:

Video data analytics is rapidly evolving and transforming the way we live in urban environments. Video Data Analytics for Smart City Applications: Methods and Trends, data science experts present a comprehensive review of the latest advances and trends in video analytics technologies and their extensive applications in smart city planning and engineering. The book covers a wide range of topics including object recognition, action recognition, violence detection, and tracking, exploring deep learning approaches and other techniques for video data analytics. It also discusses the key enabling technologies for smart cities and homes and the scope and application of smart agriculture in smart cities. Moreover, the book addresses the challenges and security issues in terahertz band for wireless communication and the empirical impact of AI and IoT on performance management. One contribution also provides a review of the progress in achieving the Jal Jeevan Mission Goals for institutional capacity building in the Indian State of Chhattisgarh. For researchers, computer scientists, data analytics professionals, smart city planners and engineers, this book provides detailed references for further reading and demonstrates how technologies are serving their use-cases in the smart city. The book highlights the advances and trends in video analytics technologies and extensively addresses key themes, making it an essential resource for anyone looking to gain a comprehensive understanding of video data analytics for smart city applications.

Contents:

Cover

Title

Copyright

End User License Agreement

Contents

Foreword

Preface

List of Contributors

Comprehensive Analysis of Video Surveillance System and Applications

Nand Kishore Sharma1,*, Surendra Rahamatkar1 and Abhishek Singh Rathore2

INTRODUCTION

LITERATURE REVIEW

OPEN CHALLENGES &amp

ISSUES

DISCUSSION, TRENDS, AND FUTURE WORK

CONCLUSION

CONSENT FOR PUBLICATION

CONFLICT OF INTEREST

ACKNOWLEDGEMENT

REFERENCES

Compressed Video-Based Classification for Efficient Video Analytics

Sangeeta1,*, Preeti Gulia1 and Nasib Singh Gill1

RELATED WORK

PROPOSED MODEL

COMPRESSION NETWORK

CLASSIFICATION NETWORK

EXPERIMENTS

Experimental Setup

Dataset

Implementation Details

Loss Function

Evaluation

EXPERIMENTAL RESULTS AND DISCUSSION

Experimental Results and Analysis of Compression Network

Experimental Results and Analysis of Classification Network

Object Detection and Tracking: Exploring a Deep Learning Approach and Other Techniques

Samuel Oluyemi Owoeye1,*, Folasade Durodola1 and Jethro Odeyemi1

OBJECT DETECTION AND TRACKING WITH CONVOLUTIONAL NEURAL NETWORK (CNN) AND IMAGE PROCESSING

EXAMPLE OF CNN MODEL ARCHITECTURES FOR OBJECT DETECTION

R-CNN

Limitations of R-CNN

Fast R-CNN

Advantages of Fast R-CNN

Faster R-CNN

Mask R-CNN

R-FCN

Single Shot Detector (SSD)

Advantages of SSD

You Only Look Once (YOLO)

DEVELOPMENT OF THE NEURAL NETWORK ARCHITECTURE

Hyperparameter Values For Each Model Layer

First Convolutional Layer

Second, Third, Fourth, and Fifth Convolutional Layers

OBJECT DETECTION WITH HAAR CASCADE CLASSIFIER

Haar Features Calculation

Integral Images.

Adaboost Training

Haar Cascade Classifier Experiments for Face and Eyes Detection

CANNY EDGE DETECTION

Noise Reduction

Gradient Calculation

Non-Maximum Suppression

Double Threshold

Edge Tracking by Hysteresis

BACKGROUND REMOVAL

Background Generation

Background Modeling

Background Model Update

Foreground Detection

MOTION DETECTION USING KNN BACKGROUND SUBTRACTION

Introduction and Overview of Key Enabling Technologies for Smart Cities and Homes

Karthika Dhanasekar1,* and Deepika Muni Krishna Reddy2

TRENDS IN SMART CITIES AND HOMES

Smart cities

Smart Mobility and Smart Traffic Management

Smart Environment

Smart Living

Smart Economy

Smart Governance

Smart People

Smart Homes

Programmable and Zone-based Smart Thermostat

Wireless Power

Automatic Door Locks

Advanced Security System

CHALLENGES IN SMART CITIES AND HOMES

Security

IoT Challenges

Fragmentation of Standards

Processing big data

Scalability

SURVEY OF MAJOR KEY ENABLING TECHNOLOGIES FOR SMART CITIES AND HOMES

Internet of Things

Smart Dust

Smartphones

Cloud Computing

Smart Grid

SMART CITY DATA PLANE CHALLENGES

Compatibility Between Smart City Devices

Simplicity

Mobility and Geographic Control

SOFTWARE-DEFINED NETWORK-BASED SMART CITY NETWORK MANAGEMENT

Communications in Smart Grids

Purpose of the Smart Grid

THE DIFFERENT SEGMENTS OF THE SMART GRID

Intelligent Processing: Scope and Application of Smart Agriculture in Smart City

Geetanjli Khambra1,2,*, Sini Shibu1, Archana Naik1 and Dileep Singh2

INTERNET OF THINGS (IOT).

INTELLIGENT PROCESSING

Intelligent Processing in Agriculture

INTELLIGENT PROCESSING MODEL

App Development

App Modules

Integration with sensors

Soil Moisture Sensor

Humidity and Temperature Sensor

Wind velocity Sensor

ADVANTAGES OF THE MODEL

CONSENT OF PUBLICATION

ACKNOWLEDGEMENTS

Challenges and Security in Terahertz Band for Wireless Communication

Kannadhasan Suriyan1,* and Nagarajan Ramalingam2

CHALLENGES IN TERAHERTZ BAND

TERAHERTZ RADIATION SOURCES

TERAHERTZ COMMUNICATION SYSTEMS

Empirical Impact of AI and IoT on Performance Management: A Review

Shahnawaz Ahmad1,*, Shabana Mehfuz2 and Javed Beg2

Contribution of this Study

Industry 4.0 Revolution Through AI and IoT

AI Intersects with IoT

Future Potential Growth of Performance Management Through AI and IoT

Theoretical Underpinning

RESEARCH METHODS

RESULT AND DISCUSSION

Systematic Review

Thematic Review

DISCUSSION

CONCLUSION AND FUTURE SCOPE

A Review of Progress Status in Achieving the Jal Jeevan Mission Goals in the State of Chhattisgarh

Surendra Rahamatkar1,*, Sweta Patnaik2 and Satyendra Patnaik3

BACKGROUND OF DRINKING WATER POLICIES THROUGHOUT HISTORY

JAL JEEVAN MISSION

POLICY GUIDELINES AT CENTRE

DECENTRALISED MANAGEMENT OF WATER IN CHHATTISGARH

OBJECTIVES OF THE STUDY

RESEARCH METHODOLOGY

RESULTS AND DISCUSSION

Capacity Monitoring of the Project

Functional Household Tap Connections (FHTC)

Surveillance and Monitoring of Water Quality

Institutional Mechanism.

NATIONAL LEVEL - NATIONAL JAL JEEVAN MISSION (NJJM)

State Level - State Water and Sanitation Mission (SWSM)

District Level - District Water and Sanitation Mission (DWSM)

Village Level - Gram Panchayat/Village Water &amp

Sanitation Committee/ Pani Samiti

AUTHOR'S CONTRIBUTION

FUNDING

INSTITUTIONAL REVIEW BOARD STATEMENT

DATA AVAILABILITY STATEMENT

Subject Index

Back Cover.

Notes:

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9789815123708

981512370X

OCLC:

1379468357