Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video
A Book

by Olga Isupova

  • Publisher : Springer
  • Release : 2018-02-24
  • Pages : 126
  • ISBN : 3319755080
  • Language : En, Es, Fr & De
GET BOOK

This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural changes. Behaviour analysis and anomaly detection are key components of intelligent vision systems. Anomaly detection can be considered from two perspectives: abnormal events can be defined as those that violate typical activities or as a sudden change in behaviour. Topic modelling and change-point detection methodologies, respectively, are employed to achieve these objectives. The thesis starts with the development of learning algorithms for a dynamic topic model, which extract topics that represent typical activities of a scene. These typical activities are used in a normality measure in anomaly detection decision-making. The book also proposes a novel anomaly localisation procedure. In the first topic model presented, a number of topics should be specified in advance. A novel dynamic nonparametric hierarchical Dirichlet process topic model is then developed where the number of topics is determined from data. Batch and online inference algorithms are developed. The latter part of the thesis considers behaviour analysis and anomaly detection within the change-point detection methodology. A novel general framework for change-point detection is introduced. Gaussian process time series data is considered. Statistical hypothesis tests are proposed for both offline and online data processing and multiple change point detection are proposed and theoretical properties of the tests are derived. The thesis is accompanied by open-source toolboxes that can be used by researchers and engineers.

Policing in the Era of AI and Smart Societies

Policing in the Era of AI and Smart Societies
A Book

by Hamid Jahankhani,Babak Akhgar,Peter Cochrane,Mohammad Dastbaz

  • Publisher : Springer Nature
  • Release : 2020-07-17
  • Pages : 282
  • ISBN : 3030506134
  • Language : En, Es, Fr & De
GET BOOK

Chapter “Predictive Policing in 2025: A Scenario” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Handbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN

Handbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN
A Book

by Almunawar, Mohammad Nabil,Anshari Ali, Muhammad,Ariff Lim, Syamimi

  • Publisher : IGI Global
  • Release : 2020-08-28
  • Pages : 738
  • ISBN : 1799849856
  • Language : En, Es, Fr & De
GET BOOK

Business-to-consumer (B2C) and consumer-to-consumer (C2C) e-commerce transactions, including social commerce, are rapidly expanding, although e-commerce is still small when compared to traditional business transactions. As the familiarity of making purchases using smart devices continues to expand, many global and regional investors hope to target the ASEAN region to tap into the rising digital market in this region. The Handbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN is an essential reference source that discusses economics, marketing strategies, and mobile payment systems, as well as digital marketplaces, communication technologies, and social technologies utilized for business purposes. Featuring research on topics such as business culture, mobile technology, and consumer satisfaction, this book is ideally designed for policymakers, financial managers, business professionals, academicians, students, and researchers.

Computer-Aided Developments: Electronics and Communication

Computer-Aided Developments: Electronics and Communication
Proceeding of the First Annual Conference on Computer-Aided Developments in Electronics and Communication (CADEC-2019), Vellore Institute of Technology, Amaravati, India, 2-3 March 2019

by Arun Kumar Sinha,John Pradeep Darsy

  • Publisher : CRC Press
  • Release : 2019-10-02
  • Pages : 301
  • ISBN : 1000751759
  • Language : En, Es, Fr & De
GET BOOK

The volume comprises of papers presented at the first CADEC-2019 conference held at Vellore Institute of Technology-Andhra Pradesh, Amaravati, India. The book contains computer simulated results in various areas of electronics and communication engineering such as, VLSI and embedded systems, wireless communication, signal processing, power electronics and control theory applications. This volume will help researchers and engineers to develop and extend their ideas in upcoming research in electronics and communication.

Intelligence Science III

Intelligence Science III
4th IFIP TC 12 International Conference, ICIS 2020, Durgapur, India, February 24-27, 2021, Revised Selected Papers

by Zhongzhi Shi,Mihir Chakraborty,Samarjit Kar

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 317
  • ISBN : 303074826X
  • Language : En, Es, Fr & De
GET BOOK

This book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions. One extended abstract is also included. They deal with key issues in brain cognition; uncertain theory; machine learning; data intelligence; language cognition; vision cognition; perceptual intelligence; intelligent robot; and medical artificial intelligence.

Machine Learning Paradigms

Machine Learning Paradigms
Applications of Learning and Analytics in Intelligent Systems

by George A. Tsihrintzis,Maria Virvou,Evangelos Sakkopoulos,Lakhmi C. Jain

  • Publisher : Springer
  • Release : 2019-07-06
  • Pages : 548
  • ISBN : 3030156281
  • Language : En, Es, Fr & De
GET BOOK

This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.

Applications of Artificial Intelligence and Machine Learning

Applications of Artificial Intelligence and Machine Learning
Select Proceedings of ICAAAIML 2020

by Ankur Choudhary,Arun Prakash Agrawal,Rajasvaran Logeswaran,Bhuvan Unhelkar

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 9811630674
  • Language : En, Es, Fr & De
GET BOOK

The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor network, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics and practitioners in industry working on AI applications.

Information and Communication Technology for Competitive Strategies (ICTCS 2020)

Information and Communication Technology for Competitive Strategies (ICTCS 2020)
ICT: Applications and Social Interfaces

by Amit Joshi

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 9811607397
  • Language : En, Es, Fr & De
GET BOOK

Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security

Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security
A Book

by Dua, Mohit,Jain, Ankit Kumar

  • Publisher : IGI Global
  • Release : 2021-05-14
  • Pages : 355
  • ISBN : 1799833011
  • Language : En, Es, Fr & De
GET BOOK

The artificial intelligence subset machine learning has become a popular technique in professional fields as many are finding new ways to apply this trending technology into their everyday practices. Two fields that have majorly benefited from this are pattern recognition and information security. The ability of these intelligent algorithms to learn complex patterns from data and attain new performance techniques has created a wide variety of uses and applications within the data security industry. There is a need for research on the specific uses machine learning methods have within these fields, along with future perspectives. The Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security is a collection of innovative research on the current impact of machine learning methods within data security as well as its various applications and newfound challenges. While highlighting topics including anomaly detection systems, biometrics, and intrusion management, this book is ideally designed for industrial experts, researchers, IT professionals, network developers, policymakers, computer scientists, educators, and students seeking current research on implementing machine learning tactics to enhance the performance of information security.

Artificial Intelligence for Knowledge Management

Artificial Intelligence for Knowledge Management
5th IFIP WG 12.6 International Workshop, AI4KM 2017, Held at IJCAI 2017, Melbourne, VIC, Australia, August 20, 2017, Revised Selected Papers

by Eunika Mercier-Laurent,Danielle Boulanger

  • Publisher : Springer Nature
  • Release : 2019-09-11
  • Pages : 147
  • ISBN : 303029904X
  • Language : En, Es, Fr & De
GET BOOK

This book features a selection of extended papers presented at the 5th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2017, held in Melbourne, VIC, Australia, in August 2017, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2017. The 11 revised and extended papers were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.

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

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

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

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 1042
  • ISBN : 303073689X
  • Language : En, Es, Fr & De
GET BOOK

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.

Machine Vision and Augmented Intelligence—Theory and Applications

Machine Vision and Augmented Intelligence—Theory and Applications
Select Proceedings of MAI 2021

by Manish Kumar Bajpai

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 9811650780
  • Language : En, Es, Fr & De
GET BOOK

Machine Learning for Time-Series with Python

Machine Learning for Time-Series with Python
Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

by Ben Auffarth

  • Publisher : Packt Publishing Ltd
  • Release : 2021-10-29
  • Pages : 370
  • ISBN : 1801816107
  • Language : En, Es, Fr & De
GET BOOK

The book contains the most common as well as state-of-the-art methods in machine learning for time-series, and examples that every data scientist or analyst would have encountered, if not in their job, then in a job interview.

Visual Analysis of Behaviour

Visual Analysis of Behaviour
From Pixels to Semantics

by Shaogang Gong,Tao Xiang

  • Publisher : Springer Science & Business Media
  • Release : 2011-05-26
  • Pages : 356
  • ISBN : 0857296701
  • Language : En, Es, Fr & De
GET BOOK

This book presents a comprehensive treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives. Topics: covers learning-group activity models, unsupervised behaviour profiling, hierarchical behaviour discovery, learning behavioural context, modelling rare behaviours, and “man-in-the-loop” active learning; examines multi-camera behaviour correlation, person re-identification, and “connecting-the-dots” for abnormal behaviour detection; discusses Bayesian information criterion, Bayesian networks, “bag-of-words” representation, canonical correlation analysis, dynamic Bayesian networks, Gaussian mixtures, and Gibbs sampling; investigates hidden conditional random fields, hidden Markov models, human silhouette shapes, latent Dirichlet allocation, local binary patterns, locality preserving projection, and Markov processes; explores probabilistic graphical models, probabilistic topic models, space-time interest points, spectral clustering, and support vector machines.

Applied Cloud Deep Semantic Recognition

Applied Cloud Deep Semantic Recognition
Advanced Anomaly Detection

by Mehdi Roopaei,Peyman Najafirad (Paul Rad)

  • Publisher : CRC Press
  • Release : 2018-04-09
  • Pages : 188
  • ISBN : 1351119001
  • Language : En, Es, Fr & De
GET BOOK

This book provides a comprehensive overview of the research on anomaly detection with respect to context and situational awareness that aim to get a better understanding of how context information influences anomaly detection. In each chapter, it identifies advanced anomaly detection and key assumptions, which are used by the model to differentiate between normal and anomalous behavior. When applying a given model to a particular application, the assumptions can be used as guidelines to assess the effectiveness of the model in that domain. Each chapter provides an advanced deep content understanding and anomaly detection algorithm, and then shows how the proposed approach is deviating of the basic techniques. Further, for each chapter, it describes the advantages and disadvantages of the algorithm. The final chapters provide a discussion on the computational complexity of the models and graph computational frameworks such as Google Tensorflow and H2O because it is an important issue in real application domains. This book provides a better understanding of the different directions in which research has been done on deep semantic analysis and situational assessment using deep learning for anomalous detection, and how methods developed in one area can be applied in applications in other domains. This book seeks to provide both cyber analytics practitioners and researchers an up-to-date and advanced knowledge in cloud based frameworks for deep semantic analysis and advanced anomaly detection using cognitive and artificial intelligence (AI) models.

Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data

Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data
A Book

by Robert B. Fisher,Yun-Heh Chen-Burger,Daniela Giordano,Lynda Hardman,Fang-Pang Lin

  • Publisher : Springer
  • Release : 2016-03-24
  • Pages : 319
  • ISBN : 3319302086
  • Language : En, Es, Fr & De
GET BOOK

This book gives a start-to-finish overview of the whole Fish4Knowledge project, in 18 short chapters, each describing one aspect of the project. The Fish4Knowledge project explored the possibilities of big video data, in this case from undersea video. Recording and analyzing 90 thousand hours of video from ten camera locations, the project gives a 3 year view of fish abundance in several tropical coral reefs off the coast of Taiwan. The research system built a remote recording network, over 100 Tb of storage, supercomputer processing, video target detection and tracking, fish species recognition and analysis, a large SQL database to record the results and an efficient retrieval mechanism. Novel user interface mechanisms were developed to provide easy access for marine ecologists, who wanted to explore the dataset. The book is a useful resource for system builders, as it gives an overview of the many new methods that were created to build the Fish4Knowledge system in a manner that also allows readers to see how all the components fit together.

Papers in ITJEMAST 11(16) 2020

Papers in ITJEMAST 11(16) 2020
A Book

by Anonim

  • Publisher : International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
  • Release : 2021
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
GET BOOK

International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies publishes a wide spectrum of research and technical articles as well as reviews, experiments, experiences, modelings, simulations, designs, and innovations from engineering, sciences, life sciences, and related disciplines as well as interdisciplinary/cross-disciplinary/multidisciplinary subjects. Original work is required. Article submitted must not be under consideration of other publishers for publications.

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)
A Book

by Aboul-Ella Hassanien,Ahmad Taher Azar,Tarek Gaber,Diego Oliva,Fahmy M. Tolba

  • Publisher : Springer Nature
  • Release : 2020-03-23
  • Pages : 873
  • ISBN : 3030442896
  • Language : En, Es, Fr & De
GET BOOK

This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.

Symmetry-Adapted Machine Learning for Information Security

Symmetry-Adapted Machine Learning for Information Security
A Book

by James (Jong Hyuk) Park

  • Publisher : MDPI
  • Release : 2020-12-15
  • Pages : 202
  • ISBN : 3039366424
  • Language : En, Es, Fr & De
GET BOOK

Symmetry-adapted machine learning has shown encouraging ability to mitigate the security risks in information and communication technology (ICT) systems. It is a subset of artificial intelligence (AI) that relies on the principles of processing future events by learning past events or historical data. The autonomous nature of symmetry-adapted machine learning supports effective data processing and analysis for security detection in ICT systems without the interference of human authorities. Many industries are developing machine-learning-adapted solutions to support security for smart hardware, distributed computing, and the cloud. In our Special Issue book, we focus on the deployment of symmetry-adapted machine learning for information security in various application areas. This security approach can support effective methods to handle the dynamic nature of security attacks by extraction and analysis of data to identify hidden patterns of data. The main topics of this Issue include malware classification, an intrusion detection system, image watermarking, color image watermarking, battlefield target aggregation behavior recognition model, IP camera, Internet of Things (IoT) security, service function chain, indoor positioning system, and crypto-analysis.

Computer Vision and Imaging in Intelligent Transportation Systems

Computer Vision and Imaging in Intelligent Transportation Systems
A Book

by Robert P. Loce,Raja Bala,Mohan Trivedi

  • Publisher : John Wiley & Sons
  • Release : 2017-03-20
  • Pages : 432
  • ISBN : 1118971647
  • Language : En, Es, Fr & De
GET BOOK

Acts as single source reference providing readers with an overview of how computer vision can contribute to the different applications in the field of road transportation This book presents a survey of computer vision techniques related to three key broad problems in the roadway transportation domain: safety, efficiency, and law enforcement. The individual chapters present significant applications within those problem domains, each presented in a tutorial manner, describing the motivation for and benefits of the application, and a description of the state of the art. Key features: Surveys the applications of computer vision techniques to road transportation system for the purposes of improving safety and efficiency and to assist law enforcement. Offers a timely discussion as computer vision is reaching a point of being useful in the field of transportation systems. Available as an enhanced eBook with video demonstrations to further explain the concepts discussed in the book, as well as links to publically available software and data sets for testing and algorithm development. The book will benefit the many researchers, engineers and practitioners of computer vision, digital imaging, automotive and civil engineering working in intelligent transportation systems. Given the breadth of topics covered, the text will present the reader with new and yet unconceived possibilities for application within their communities.