Anomaly Detection In Video Surveillance

Anomaly Detection In Video Surveillance Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Anomaly Detection In Video Surveillance book. This book definitely worth reading, it is an incredibly well-written.

Advances in Knowledge Discovery and Data Mining

Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon

Author : Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon
Publisher : Springer
Page : 866 pages
File Size : 46,7 Mb
Release : 2017-04-25
Category : Computers
ISBN : 9783319574547

Get Book

Advances in Knowledge Discovery and Data Mining by Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon Pdf

This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.

Anomaly Detection in Video Surveillance

Xiaochun Wang

Author : Xiaochun Wang
Publisher : Springer
Page : 0 pages
File Size : 51,8 Mb
Release : 2024-07-28
Category : Computers
ISBN : 9819730228

Get Book

Anomaly Detection in Video Surveillance by Xiaochun Wang Pdf

Anomaly detection in video surveillance stands at the core of numerous real-world applications that have broad impact and generate significant academic and industrial value. The key advantage of writing the book at this point in time is that the vast amount of work done by computer scientists over the last few decades has remained largely untouched by a formal book on the subject, although these techniques significantly advance existing methods of image and video analysis and understanding by taking advantage of anomaly detection in the data mining community and visual analysis in the computer vision community. The proposed book provides a comprehensive coverage of the advances in video based anomaly detection, including topics such as the theories of anomaly detection and machine perception for the functional analysis of abnormal events in general, the identification of abnormal behaviour and crowd abnormal behaviour in particular, the current understanding of computer vision development, and the application of this present understanding towards improving video-based anomaly detection in theory and coding with OpenCV. The book also provides a perspective on deep learning on human action recognition and behaviour analysis, laying the groundwork for future advances in these areas. Overall, the chapters of this book have been carefully organized with extensive bibliographic notes attached to each chapter. One of the goals is to provide the first systematic and comprehensive description of the range of data-driven solutions currently being developed up to date for such purposes. Another is to serve a dual purpose so that students and practitioners can use it as a textbook while researchers can use it as a reference book. A final goal is to provide a comprehensive exposition of the topic of anomaly detection in video media from multiple points of view.

Driving the Development, Management, and Sustainability of Cognitive Cities

Ahuja, Kiran,Khosla, Arun

Author : Ahuja, Kiran,Khosla, Arun
Publisher : IGI Global
Page : 337 pages
File Size : 48,5 Mb
Release : 2019-05-03
Category : Science
ISBN : 9781522580867

Get Book

Driving the Development, Management, and Sustainability of Cognitive Cities by Ahuja, Kiran,Khosla, Arun Pdf

The technological advancements of today not only affect individual’s personal lives. They also affect the way urban communities regard the improvement of their resident’s lives. Research involving these autonomic reactions to the growing needs of the people is desperately needed to transform the cities of today into the cities of the future. Driving the Development, Management, and Sustainability of Cognitive Cities is a pivotal reference source that explores and improves the understanding of the strategic role of sustainable cognitive cities in residents’ routine life styles. Such benefits to residents and businesses include having access to world-class training while sitting at home, having their wellbeing observed consistently, and having their medical issues identified before occurrence. This book is ideally designed for administrators, policymakers, industrialists, and researchers seeking current research on developing and managing cognitive cities.

Recent Developments in Video Surveillance

Hazem El-Alfy

Author : Hazem El-Alfy
Publisher : BoD – Books on Demand
Page : 136 pages
File Size : 47,9 Mb
Release : 2012-04-04
Category : Computers
ISBN : 9789535104681

Get Book

Recent Developments in Video Surveillance by Hazem El-Alfy Pdf

With surveillance cameras installed everywhere and continuously streaming thousands of hours of video, how can that huge amount of data be analyzed or even be useful? Is it possible to search those countless hours of videos for subjects or events of interest? Shouldn’t the presence of a car stopped at a railroad crossing trigger an alarm system to prevent a potential accident? In the chapters selected for this book, experts in video surveillance provide answers to these questions and other interesting problems, skillfully blending research experience with practical real life applications. Academic researchers will find a reliable compilation of relevant literature in addition to pointers to current advances in the field. Industry practitioners will find useful hints about state-of-the-art applications. The book also provides directions for open problems where further advances can be pursued.

Computational Vision and Bio-Inspired Computing

S. Smys,João Manuel R. S. Tavares,Robert Bestak,Fuqian Shi

Author : S. Smys,João Manuel R. S. Tavares,Robert Bestak,Fuqian Shi
Publisher : Springer Nature
Page : 871 pages
File Size : 42,6 Mb
Release : 2021-06-14
Category : Technology & Engineering
ISBN : 9789813368620

Get Book

Computational Vision and Bio-Inspired Computing by S. Smys,João Manuel R. S. Tavares,Robert Bestak,Fuqian Shi Pdf

This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Metaheuristics for Machine Learning

Kanak Kalita,Narayanan Ganesh,S. Balamurugan

Author : Kanak Kalita,Narayanan Ganesh,S. Balamurugan
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 44,6 Mb
Release : 2024-03-28
Category : Computers
ISBN : 9781394233939

Get Book

Metaheuristics for Machine Learning by Kanak Kalita,Narayanan Ganesh,S. Balamurugan Pdf

METAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in machine learning and artificial intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing machine learning models, hyperparameter tuning, and feature selection, among other use-cases. In the industrial landscape, these techniques are becoming indispensable for solving real-world problems in sectors ranging from healthcare to cybersecurity and sustainability. Businesses are incorporating metaheuristic optimization into machine learning workflows to improve decision-making, automate processes, and enhance system performance. As the boundaries of what is computationally possible continue to expand, the integration of metaheuristic optimization and machine learning represents a pioneering frontier in computational intelligence, making this book a timely resource for anyone involved in this interdisciplinary field. Metaheuristics for Machine Learning: Algorithms and Applications serves as a comprehensive guide to the intersection of nature-inspired optimization and machine learning. Authored by leading experts, this book seamlessly integrates insights from computer science, biology, and mathematics to offer a panoramic view of the latest advancements in metaheuristic algorithms. You’ll find detailed yet accessible discussions of algorithmic theory alongside real-world case studies that demonstrate their practical applications in machine learning optimization. Perfect for researchers, practitioners, and students, this book provides cutting-edge content with a focus on applicability and interdisciplinary knowledge. Whether you aim to optimize complex systems, delve into neural networks, or enhance predictive modeling, this book arms you with the tools and understanding you need to tackle challenges efficiently. Equip yourself with this essential resource and navigate the ever-evolving landscape of machine learning and optimization with confidence. Audience The book is aimed at a broad audience encompassing researchers, practitioners, and students in the fields of computer science, data science, engineering, and mathematics. The detailed but accessible content makes it a must-have for both academia and industry professionals interested in the optimization aspects of machine learning algorithms.

Intelligent Systems Design and Applications

Ajith Abraham,Sabri Pllana,Gabriella Casalino,Kun Ma,Anu Bajaj

Author : Ajith Abraham,Sabri Pllana,Gabriella Casalino,Kun Ma,Anu Bajaj
Publisher : Springer Nature
Page : 592 pages
File Size : 47,8 Mb
Release : 2023-05-30
Category : Technology & Engineering
ISBN : 9783031274404

Get Book

Intelligent Systems Design and Applications by Ajith Abraham,Sabri Pllana,Gabriella Casalino,Kun Ma,Anu Bajaj Pdf

This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.

Intelligent Systems

João Carlos Xavier-Junior,Ricardo Araújo Rios

Author : João Carlos Xavier-Junior,Ricardo Araújo Rios
Publisher : Springer Nature
Page : 686 pages
File Size : 44,8 Mb
Release : 2022-11-18
Category : Computers
ISBN : 9783031216893

Get Book

Intelligent Systems by João Carlos Xavier-Junior,Ricardo Araújo Rios Pdf

The two-volume set LNAI 13653 and 13654 constitutes the refereed proceedings of the 11th Brazilian Conference on Intelligent Systems, BRACIS 2022, which took place in Campinas, Brazil, in November/December 2022. The 89 papers presented in the proceedings were carefully reviewed and selected from 225 submissions. The conference deals with theoretical aspects and applications of artificial and computational intelligence.

Proceedings of International Conference on Computational Intelligence

Ritu Tiwari,Mario F. Pavone,Ranjith Ravindranathan Nair

Author : Ritu Tiwari,Mario F. Pavone,Ranjith Ravindranathan Nair
Publisher : Springer Nature
Page : 475 pages
File Size : 42,8 Mb
Release : 2022-10-04
Category : Technology & Engineering
ISBN : 9789811921261

Get Book

Proceedings of International Conference on Computational Intelligence by Ritu Tiwari,Mario F. Pavone,Ranjith Ravindranathan Nair Pdf

The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2021) held online during 27–28 December, 2021. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning. metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.

Information and Communication Technology for Competitive Strategies (ICTCS 2020)

Amit Joshi,Mufti Mahmud,Roshan G. Ragel,Nileshsingh V. Thakur

Author : Amit Joshi,Mufti Mahmud,Roshan G. Ragel,Nileshsingh V. Thakur
Publisher : Springer Nature
Page : 1128 pages
File Size : 50,8 Mb
Release : 2021-07-26
Category : Technology & Engineering
ISBN : 9789811607394

Get Book

Information and Communication Technology for Competitive Strategies (ICTCS 2020) by Amit Joshi,Mufti Mahmud,Roshan G. Ragel,Nileshsingh V. Thakur Pdf

This book contains the best selected research papers presented at ICTCS 2020: Fifth International Conference on Information and Communication Technology for Competitive Strategies. The conference was held at Jaipur, Rajasthan, India, during 11–12 December 2020. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics, and IT security.

Multimedia Computing Systems and Virtual Reality

Rajeev Tiwari,Neelam Duhan,Mamta Mittal,Abhineet Anand,Muhammad Attique Khan

Author : Rajeev Tiwari,Neelam Duhan,Mamta Mittal,Abhineet Anand,Muhammad Attique Khan
Publisher : CRC Press
Page : 230 pages
File Size : 46,9 Mb
Release : 2022-04-05
Category : Computers
ISBN : 9781000541137

Get Book

Multimedia Computing Systems and Virtual Reality by Rajeev Tiwari,Neelam Duhan,Mamta Mittal,Abhineet Anand,Muhammad Attique Khan Pdf

Most events and activities in today's world are ordinarily captured using photos, videos and other multimedia content. Such content has some limitation of storing data and fetching them effectively. Three-dimensional continuous PC animation is the most proper media to simulate these occasions and activities. This book focuses on futuristic trends and innovations in multimedia systems using big data, IoT and cloud technologies. The authors present recent advancements in multimedia systems as they relate to various application areas such as healthcare services and agriculture-related industries. The authors also discuss human-machine interface design, graphics modelling, rendering/animation, image/graphics techniques/systems and visualization. They then go on to explore multimedia content adaptation for interoperable delivery. Finally, the book covers cultural heritage, philosophical/ethical/societal/international issues, standards-related virtual technology and multimedia uses. This book is intended for computer engineers and computer scientists developing applications for multimedia and virtual reality and professionals working in object design and visualization, transformation, modelling and animation of the real world. Features: Focuses on futuristic trends and innovations in multimedia systems using big data, IoT and cloud technologies Offers opportunity for state-of-the-art approaches, methodologies and systems, and innovative use of multimedia-based emerging technology services in different application areas Discusses human-machine interface design, graphics modelling, rendering/animation, image/graphics techniques/systems and visualization Covers cultural heritage, philosophical/ethical/societal/international issues, standards-related virtual technology and multimedia uses Explores multimedia content adaptation for interoperable delivery and recent advancements in multimedia systems in context to various application areas such as healthcare services and agriculture-related fields Rajeev Tiwari is a Senior Associate Professor in the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. Neelam Duhan is an Associate Professor in the Department of Computer Engineering at J. C. Bose University of Science and Technology, YMCA, Faridabad, India. Mamta Mittal has 18 years of teaching experience, and her research areas include data mining, big data, machine learning, soft computing and data structure. Abhineet Anand is a Professor in the Computer Science and Engineering Department at Chitkara University, Punjab, India. Muhammad Attique Khan is a lecturer of the Computer Science Department at HITEC University, Taxila, Pakistan.

Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 2

Suresh Chandra Satapathy,Swagatam Das

Author : Suresh Chandra Satapathy,Swagatam Das
Publisher : Springer
Page : 617 pages
File Size : 53,9 Mb
Release : 2016-05-03
Category : Technology & Engineering
ISBN : 9783319309279

Get Book

Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 2 by Suresh Chandra Satapathy,Swagatam Das Pdf

This volume contains 60 papers presented at ICTIS 2015: International Conference on Information and Communication Technology for Intelligent Systems. The conference was held during 28th and 29th November, 2015, Ahmedabad, India and organized communally by Venus International College of Technology, Association of Computer Machinery, Ahmedabad Chapter and Supported by Computer Society of India Division IV – Communication and Division V – Education and Research. This volume contains papers mainly focused on ICT and its application for Intelligent Computing, Cloud Storage, Data Mining, Image Processing and Software Analysis etc.

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)

Ajith Abraham,Yukio Ohsawa,Niketa Gandhi,M.A. Jabbar,Abdelkrim Haqiq,Seán McLoone,Biju Issac

Author : Ajith Abraham,Yukio Ohsawa,Niketa Gandhi,M.A. Jabbar,Abdelkrim Haqiq,Seán McLoone,Biju Issac
Publisher : Springer Nature
Page : 1061 pages
File Size : 46,6 Mb
Release : 2021-04-15
Category : Technology & Engineering
ISBN : 9783030736897

Get Book

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) by Ajith Abraham,Yukio Ohsawa,Niketa Gandhi,M.A. Jabbar,Abdelkrim Haqiq,Seán McLoone,Biju Issac Pdf

This book highlights the recent research on soft computing and pattern recognition and their various practical applications. It presents 62 selected papers from the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) and 35 papers from the 16th International Conference on Information Assurance and Security (IAS 2020), which was held online, from December 15 to 18, 2020. A premier conference in the field of artificial intelligence, SoCPaR-IAS 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Beginning Anomaly Detection Using Python-Based Deep Learning

Sridhar Alla,Suman Kalyan Adari

Author : Sridhar Alla,Suman Kalyan Adari
Publisher : Apress
Page : 427 pages
File Size : 46,9 Mb
Release : 2019-10-10
Category : Computers
ISBN : 9781484251775

Get Book

Beginning Anomaly Detection Using Python-Based Deep Learning by Sridhar Alla,Suman Kalyan Adari Pdf

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks. This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications of the following deep learning models to anomaly detection: various types of Autoencoders, Restricted Boltzmann Machines, RNNs & LSTMs, and Temporal Convolutional Networks. The book explores unsupervised and semi-supervised anomaly detection along with the basics of time series-based anomaly detection. By the end of the book you will have a thorough understanding of the basic task of anomaly detection as well as an assortment of methods to approach anomaly detection, ranging from traditional methods to deep learning. Additionally, you are introduced to Scikit-Learn and are able to create deep learning models in Keras and PyTorch. What You Will LearnUnderstand what anomaly detection is and why it is important in today's world Become familiar with statistical and traditional machine learning approaches to anomaly detection using Scikit-Learn Know the basics of deep learning in Python using Keras and PyTorch Be aware of basic data science concepts for measuring a model's performance: understand what AUC is, what precision and recall mean, and more Apply deep learning to semi-supervised and unsupervised anomaly detection Who This Book Is For Data scientists and machine learning engineers interested in learning the basics of deep learning applications in anomaly detection

Intelligent Circuits and Systems

Rajesh Singh,Anita Gehlot

Author : Rajesh Singh,Anita Gehlot
Publisher : CRC Press
Page : 636 pages
File Size : 50,8 Mb
Release : 2021-08-01
Category : Technology & Engineering
ISBN : 9781000404890

Get Book

Intelligent Circuits and Systems by Rajesh Singh,Anita Gehlot Pdf

ICICS-2020 is the third conference initiated by the School of Electronics and Electrical Engineering at Lovely Professional University that explored recent innovations of researchers working for the development of smart and green technologies in the fields of Energy, Electronics, Communications, Computers, and Control. ICICS provides innovators to identify new opportunities for the social and economic benefits of society. This conference bridges the gap between academics and R&D institutions, social visionaries, and experts from all strata of society to present their ongoing research activities and foster research relations between them. It provides opportunities for the exchange of new ideas, applications, and experiences in the field of smart technologies and finding global partners for future collaboration. The ICICS-2020 was conducted in two broad categories, Intelligent Circuits & Intelligent Systems and Emerging Technologies in Electrical Engineering.

Anomaly Detection In Video Surveillance

Advances in Knowledge Discovery and Data Mining by Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon Pdf

Anomaly Detection in Video Surveillance by Xiaochun Wang Pdf

Driving the Development, Management, and Sustainability of Cognitive Cities by Ahuja, Kiran,Khosla, Arun Pdf

Recent Developments in Video Surveillance by Hazem El-Alfy Pdf

Computational Vision and Bio-Inspired Computing by S. Smys,João Manuel R. S. Tavares,Robert Bestak,Fuqian Shi Pdf

Metaheuristics for Machine Learning by Kanak Kalita,Narayanan Ganesh,S. Balamurugan Pdf

Intelligent Systems Design and Applications by Ajith Abraham,Sabri Pllana,Gabriella Casalino,Kun Ma,Anu Bajaj Pdf

Intelligent Systems by João Carlos Xavier-Junior,Ricardo Araújo Rios Pdf

Proceedings of International Conference on Computational Intelligence by Ritu Tiwari,Mario F. Pavone,Ranjith Ravindranathan Nair Pdf

Information and Communication Technology for Competitive Strategies (ICTCS 2020) by Amit Joshi,Mufti Mahmud,Roshan G. Ragel,Nileshsingh V. Thakur Pdf

Multimedia Computing Systems and Virtual Reality by Rajeev Tiwari,Neelam Duhan,Mamta Mittal,Abhineet Anand,Muhammad Attique Khan Pdf

Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 2 by Suresh Chandra Satapathy,Swagatam Das Pdf

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) by Ajith Abraham,Yukio Ohsawa,Niketa Gandhi,M.A. Jabbar,Abdelkrim Haqiq,Seán McLoone,Biju Issac Pdf

Beginning Anomaly Detection Using Python-Based Deep Learning by Sridhar Alla,Suman Kalyan Adari Pdf

Intelligent Circuits and Systems by Rajesh Singh,Anita Gehlot Pdf

Recent Posts