Visual Object Tracking with Deep Neural Networks
Visual Object Tracking with Deep Neural Networks

Author: Pier Luigi Mazzeo

Publisher: BoD – Books on Demand

Published: 2019-12-18

Total Pages: 208

ISBN-13: 1789851572

DOWNLOAD EBOOK

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. Section I discusses object detection and tracking ideas and algorithms; Section II examines applications based on re-identification challenges; and Section III presents applications based on FR research.

Recent Advances in Face Recognition
Recent Advances in Face Recognition

Author: Kresimir Delac

Publisher: BoD – Books on Demand

Published: 2008-12-01

Total Pages: 250

ISBN-13: 9537619346

DOWNLOAD EBOOK

The main idea and the driver of further research in the area of face recognition are security applications and human-computer interaction. Face recognition represents an intuitive and non-intrusive method of recognizing people and this is why it became one of three identification methods used in e-passports and a biometric of choice for many other security applications. This goal of this book is to provide the reader with the most up to date research performed in automatic face recognition. The chapters presented use innovative approaches to deal with a wide variety of unsolved issues.

Correlation Pattern Recognition
Correlation Pattern Recognition

Author: B. V. K. Vijaya Kumar

Publisher: Cambridge University Press

Published: 2005-11-24

Total Pages: 404

ISBN-13: 1139447122

DOWNLOAD EBOOK

Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.

Face Recognition
Face Recognition

Author: Miloš Oravec

Publisher: BoD – Books on Demand

Published: 2010-04-01

Total Pages: 414

ISBN-13: 9533070609

DOWNLOAD EBOOK

This book aims to bring together selected recent advances, applications and original results in the area of biometric face recognition. They can be useful for researchers, engineers, graduate and postgraduate students, experts in this area and hopefully also for people interested generally in computer science, security, machine learning and artificial intelligence. Various methods, approaches and algorithms for recognition of human faces are used by authors of the chapters of this book, e.g. PCA, LDA, artificial neural networks, wavelets, curvelets, kernel methods, Gabor filters, active appearance models, 2D and 3D representations, optical correlation, hidden Markov models and others. Also a broad range of problems is covered: feature extraction and dimensionality reduction (chapters 1-4), 2D face recognition from the point of view of full system proposal (chapters 5-10), illumination and pose problems (chapters 11-13), eye movement (chapter 14), 3D face recognition (chapters 15-19) and hardware issues (chapters 19-20).

Pattern Recognition and Image Analysis
Pattern Recognition and Image Analysis

Author: Sameer Singh

Publisher: Springer Science & Business Media

Published: 2005-08-17

Total Pages: 833

ISBN-13: 3540288333

DOWNLOAD EBOOK

The two volume set LNCS 3686 and LNCS 3687 constitutes the refereed proceedings of the Third International Conference on Advances in Pattern Recognition, ICAPR 2005, held in Bath, UK in August 2005. The papers submitted to ICAPR 2005 were thoroughly reviewed by up to three referees per paper and less than 40% of the submitted papers were accepted. The first volume includes 73 contributions related to Pattern Recognition and Data Mining (which included papers from the tracks of pattern recognition methods, knowledge and learning, and data mining); topics addressed are pattern recognition, data mining, signal processing and OCR/ document analysis. The second volume contains 87 contributions related to Pattern Recognition and Image Analysis (which included papers from the applications track) and deals with security and surveillance, biometrics, image processing and medical imaging. It also contains papers from the Workshop on Pattern Recognition for Crime Prevention.

Computer Vision and Image Recognition
Computer Vision and Image Recognition

Author: Venkata Sathya Kumar koppisetti

Publisher: RK Publication

Published: 2024-07-25

Total Pages: 314

ISBN-13: 819778115X

DOWNLOAD EBOOK

Computer Vision and Image Recognition transformative technology enabling machines to interpret and understand visual information. This book explores the foundational theories and techniques in computer vision, covering critical topics such as image processing, feature extraction, object detection, and classification. With applications spanning from autonomous vehicles to medical imaging, it provides a comprehensive overview of algorithms and deep learning methods that power visual perception in machines. Aimed at students, researchers, and practitioners, this guide bridges theoretical concepts with real-world applications, emphasizing advancements in AI-driven image recognition and the future of intelligent visual systems.

Handbook of Multibiometrics
Handbook of Multibiometrics

Author: Arun A. Ross

Publisher: Springer Science & Business Media

Published: 2006-08-11

Total Pages: 218

ISBN-13: 0387331239

DOWNLOAD EBOOK

Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial advantages of multimodal systems over conventional identification methods.

Image Analysis and Recognition
Image Analysis and Recognition

Author: Mohamed Kamel

Publisher: Springer

Published: 2011-06-14

Total Pages: 428

ISBN-13: 3642215963

DOWNLOAD EBOOK

The two-volume set LNCS 6753/6754 constitutes the refereed proceedings of the 8th International Conference on Image and Recognition, ICIAR 2011, held in Burnaby, Canada, in June 2011. The 84 revised full papers presented were carefully reviewed and selected from 147 submissions. The papers are organized in topical sections on image and video processing; feature extraction and pattern recognition; computer vision; color, texture, motion and shape; tracking; biomedical image analysis; biometrics; face recognition; image coding, compression and encryption; and applications.

Multimedia Content Representation, Classification and Security
Multimedia Content Representation, Classification and Security

Author: Bilge Gunsel

Publisher: Springer

Published: 2006-09-12

Total Pages: 822

ISBN-13: 3540393935

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the International Workshop on Multimedia Content Representation, Classification and Security, MRCS 2006. The book presents 100 revised papers together with 4 invited lectures. Coverage includes biometric recognition, multimedia content security, steganography, watermarking, authentication, classification for biometric recognition, digital watermarking, content analysis and representation, 3D object retrieval and classification, representation, analysis and retrieval in cultural heritage, content representation, indexing and retrieval, and more.

Face Biometrics for Personal Identification
Face Biometrics for Personal Identification

Author: Besma Abidi

Publisher: Springer Science & Business Media

Published: 2007-04-08

Total Pages: 276

ISBN-13: 3540493468

DOWNLOAD EBOOK

This book provides ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems.