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Human Recognition in Unconstrained Environments

Human Recognition in Unconstrained Environments
Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics

by Maria De Marsico,Michele Nappi,Hugo Pedro Proença

  • Publisher : Academic Press
  • Release : 2017-01-09
  • Pages : 248
  • ISBN : 0081007124
  • Language : En, Es, Fr & De
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This book provides a unique picture of the complete ‘in-the-wild’ biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents. Coverage includes: Data hardware architecture fundamentals Background subtraction of humans in outdoor scenes Camera synchronization Biometric traits: Real-time detection and data segmentation Biometric traits: Feature encoding / matching Fusion at different levels Reaction against security incidents Ethical issues in non-cooperative biometric recognition in public spaces With this book readers will learn how to: Use computer vision, pattern recognition and machine learning methods for biometric recognition in real-world, real-time settings, especially those related to forensics and security Choose the most suited biometric traits and recognition methods for uncontrolled settings Evaluate the performance of a biometric system on real world data Presents a complete picture of the biometric recognition processing chain, ranging from data acquisition to the reaction procedures against security incidents Provides specific requirements and issues behind each typical phase of the development of a robust biometric recognition system Includes a contextualization of the ethical/privacy issues behind the development of a covert recognition system which can be used for forensics and security activities

Real Time Face Recognition in Unconstrained Environment

Real Time Face Recognition in Unconstrained Environment
A Book

by Md Manjurul Ahsan

  • Publisher : Unknown Publisher
  • Release : 2018
  • Pages : 616
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Multi-camera Human Activity Recognition in Unconstrained Indoor and Outdoor Environments

Multi-camera Human Activity Recognition in Unconstrained Indoor and Outdoor Environments
A Book

by Robert Bodor

  • Publisher : Unknown Publisher
  • Release : 2005
  • Pages : 218
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Probabilistic Graphical Models for Computer Vision

Probabilistic Graphical Models for Computer Vision
A Book

by Qiang Ji

  • Publisher : Academic Press
  • Release : 2019-11
  • Pages : 294
  • ISBN : 012803467X
  • Language : En, Es, Fr & De
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Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants. Discusses PGM theories and techniques with computer vision examples Focuses on well-established PGM theories that are accompanied by corresponding pseudocode for computer vision Includes an extensive list of references, online resources and a list of publicly available and commercial software Covers computer vision tasks, including feature extraction and image segmentation, object and facial recognition, human activity recognition, object tracking and 3D reconstruction

Forensic Face Matching

Forensic Face Matching
A Book

by Markus Bindemann

  • Publisher : Oxford University Press, USA
  • Release : 2021-01-07
  • Pages : 272
  • ISBN : 0198837747
  • Language : En, Es, Fr & De
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In everyday life we identify faces regularly and seemingly with great ease. One might assume this to be a straightforward and highly accurate task. However, we are poor at identifying the faces of unfamiliar people, who we have never met before, despite the fact that many important everyday tasks depend on this. Forensic face matching requires the comparison of two face photographs, of a person who is not known to the observer. This seemingly simple task is critical for a wide range of security tasks, such as person identification at airports and borders, passport issuance and renewal, and criminal identification in police investigations. Despite its ubiquity, face matching is highly prone to error, even under conditions that are designed to maximally facilitate this task. For this reason, face matching has been studied extensively in psychology, with the bulk of the research conducted since 2010. Forensic Face Matching provides readers with a wide-ranging, detailed, and critical overview of facial comparison and face matching, providing insights into its application, efficacy, and limitations in occupational settings, and of current scientific knowledge of this task.

Face Detection and Modeling for Recognition

Face Detection and Modeling for Recognition
A Book

by Rein-Lien Hsu

  • Publisher : Unknown Publisher
  • Release : 2002
  • Pages : 356
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Face recognition has received substantial attention from researchers in biometrics, computer vision, pattern recognition, and cognitive psychology communities because of the increased attention being devoted to security, man-machine communication, content-based image retrieval, and image/video coding. We have proposed two automated recognition paradigms to advance face recognition technology. Three major tasks involved in face recognition systems are: (i) face detection, (ii) face modeling, and (iii) face matching. We have developed a face detection algorithm for color images in the presence of various lighting conditions as well as complex backgrounds. Our detection method first corrects the color bias by a lighting compensation technique that automatically estimates the parameters of reference white for color correction. We overcame the difficulty of detecting the low-luma and high-luma skin tones by applying a nonlinear transformation to the Y CbCr color space. Our method generates face candidates based on the spatial arrangement of detected skin patches. We constructed eye, mouth, and face boundary maps to verify each face candidate. Experimental results demonstrate successful detection of faces with different sizes, color, position, scale, orientation, 3D pose, and expression in several photo collections. 3D human face models augment the appearance-based face recognition approaches to assist face recognition under the illumination and head pose variations. For the two proposed recognition paradigms, we have designed two methods for modeling human faces based on (i) a generic 3D face model and an individual's facial measurements of shape and texture captured in the frontal view, and (ii) alignment of a semantic face graph, derived from a generic 3D face model, onto a frontal face image.

Interactive Task Learning

Interactive Task Learning
Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions

by Kevin A. Gluck,John E. Laird

  • Publisher : MIT Press
  • Release : 2019-09-10
  • Pages : 354
  • ISBN : 026203882X
  • Language : En, Es, Fr & De
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Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. Humans are not limited to a fixed set of innate or preprogrammed tasks. We learn quickly through language and other forms of natural interaction, and we improve our performance and teach others what we have learned. Understanding the mechanisms that underlie the acquisition of new tasks through natural interaction is an ongoing challenge. Advances in artificial intelligence, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge gap exists, however, between the highly specialized niche capabilities of current machine learning systems and the generality, flexibility, and in situ robustness of human instruction and learning. Drawing on expertise from multiple disciplines, this Strüngmann Forum Report explores how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. The contributors consider functional knowledge requirements, the ontology of interactive task learning, and the representation of task knowledge at multiple levels of abstraction. They explore natural forms of interactions among humans as well as the use of interaction to teach robots and software agents new tasks in complex, dynamic environments. They discuss research challenges and opportunities, including ethical considerations, and make proposals to further understanding of interactive task learning and create new capabilities in assistive robotics, healthcare, education, training, and gaming. Contributors Tony Belpaeme, Katrien Beuls, Maya Cakmak, Joyce Y. Chai, Franklin Chang, Ropafadzo Denga, Marc Destefano, Mark d'Inverno, Kenneth D. Forbus, Simon Garrod, Kevin A. Gluck, Wayne D. Gray, James Kirk, Kenneth R. Koedinger, Parisa Kordjamshidi, John E. Laird, Christian Lebiere, Stephen C. Levinson, Elena Lieven, John K. Lindstedt, Aaron Mininger, Tom Mitchell, Shiwali Mohan, Ana Paiva, Katerina Pastra, Peter Pirolli, Roussell Rahman, Charles Rich, Katharina J. Rohlfing, Paul S. Rosenbloom, Nele Russwinkel, Dario D. Salvucci, Matthew-Donald D. Sangster, Matthias Scheutz, Julie A. Shah, Candace L. Sidner, Catherine Sibert, Michael Spranger, Luc Steels, Suzanne Stevenson, Terrence C. Stewart, Arthur Still, Andrea Stocco, Niels Taatgen, Andrea L. Thomaz, J. Gregory Trafton, Han L. J. van der Maas, Paul Van Eecke, Kurt VanLehn, Anna-Lisa Vollmer, Janet Wiles, Robert E. Wray III, Matthew Yee-King

Pattern Recognition, Machine Intelligence and Biometrics

Pattern Recognition, Machine Intelligence and Biometrics
A Book

by Patrick S. P. Wang

  • Publisher : Springer Science & Business Media
  • Release : 2012-02-13
  • Pages : 866
  • ISBN : 3642224075
  • Language : En, Es, Fr & De
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"Pattern Recognition, Machine Intelligence and Biometrics" covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics. The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering. Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei.

2019 International Conference on Computational Science and Computational Intelligence (CSCI)

2019 International Conference on Computational Science and Computational Intelligence (CSCI)
A Book

by IEEE Staff

  • Publisher : Unknown Publisher
  • Release : 2019-12-05
  • Pages : 329
  • ISBN : 9781728155852
  • Language : En, Es, Fr & De
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Based on IEEE taxonomy, CSCI is directly related to many of IEEE Computer Society s fields of interest (BUT note that in this conference we DO NOT plan to consider topics that are theoretical in nature such as automatic proof based systems, solutions to open problems in mathematics, ) Using IEEE classifications taxonomy, please find below a representative list of fields of interest for the conference In summary we are interested in all aspects of computational science and computational intelligence and applications Note that you will find many repetitions in the list of topics that appears below (this is due to the fact that the same repetitions also appear in the IEEE list) Broadcast Technology Digital video broadcasting, Motion pictures Communications Technology Denial of service attack, Computer networks, Internet, Multiprocessor interconnection networks, Network security, Peer to peer computing, Software defined networking, Virtual private networks, Digital images

Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing

Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing
A Book

by Kamila, Narendra Kumar

  • Publisher : IGI Global
  • Release : 2015-11-30
  • Pages : 477
  • ISBN : 1466686553
  • Language : En, Es, Fr & De
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Progress in Pattern Recognition

Progress in Pattern Recognition
A Book

by Sameer Singh,Maneesha Singh

  • Publisher : Springer Science & Business Media
  • Release : 2007-08-03
  • Pages : 243
  • ISBN : 9781846289446
  • Language : En, Es, Fr & De
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This book features a collection of articles presented at the 2007 Workshop on Advances in Pattern Recognition, which was organized in conjunction with the 5th International Summer School on Pattern Recognition. It provides readers with the state-of-the-art algorithms in the area of pattern recognition as well as a presentation of the cutting edge applications within the field.

Human Centered Computing

Human Centered Computing
First International Conference, HCC 2014, Phnom Penh, Cambodia, November 27-29, 2014, Revised Selected Papers

by Qiaohong Zu,Bo Hu,Ning Gu,Sopheap Seng

  • Publisher : Springer
  • Release : 2015-03-03
  • Pages : 913
  • ISBN : 3319155547
  • Language : En, Es, Fr & De
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This book constitutes revised selected papers from the refereed proceedings of the First Human Centered Computing Conference, HCC 2014, that consolidated and further develops the successful ICPCA/SWS conferences on Pervasive Computing and the Networked World. The 54 full papers and 30 short papers presented in this volume were carefully reviewed and selected from 152 submissions. These proceedings present research papers investigating into a variety of aspects towards human centric intelligent societies. They cover the categories: infrastructure and devices; service and solution; data and knowledge; and community.

Face Recognition

Face Recognition
Semisupervised Classification, Subspace Projection and Evaluation Methods

by S. Ramakrishnan

  • Publisher : BoD – Books on Demand
  • Release : 2016-07-06
  • Pages : 102
  • ISBN : 9535124218
  • Language : En, Es, Fr & De
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Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability. This book is edited keeping all these factors in mind. This book is composed of five chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.

Audio-and Video-Based Biometric Person Authentication

Audio-and Video-Based Biometric Person Authentication
4th International Conference, AVBPA 2003, Guildford, UK, June 9-11, 2003, Proceedings

by Josef Kittler,Mark S. Nixon

  • Publisher : Springer Science & Business Media
  • Release : 2003-06-02
  • Pages : 986
  • ISBN : 3540403027
  • Language : En, Es, Fr & De
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The refereed proceedings of the 4th International Conference on Audio-and Video-Based Biometric Person Authentication, AVBPA 2003, held in Guildford, UK, in June 2003. The 39 revised full plenary papers and 72 revised full poster papers were carefully reviewed and selected for presentation. There are topical sections on face; speech; fingerprint; image, video processing, and tracking; general issues; handwriting, signature, and palm; gait; and fusion.

Neural Networks and Pattern Recognition in Human-computer Interaction

Neural Networks and Pattern Recognition in Human-computer Interaction
A Book

by Russell Beale,Janet Finlay

  • Publisher : Prentice Hall
  • Release : 1992
  • Pages : 460
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Provides an introduction to the use of pattern recognition in HCI and demonstrates its use in the identification of patterns in user behaviour for: user modelling, plan recognition, interface evaluation; the utilization of novel input mechanisms including speech, handwriting and posture; information retrieval; models of cognition; novel classification methods.

Unconstrained Face Recognition

Unconstrained Face Recognition
A Book

by Shaohua Kevin Zhou,Rama Chellappa,Wenyi Zhao

  • Publisher : Springer Science & Business Media
  • Release : 2006-10-11
  • Pages : 244
  • ISBN : 0387294864
  • Language : En, Es, Fr & De
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Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms. Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.

1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Proceedings, June 23-25, 1998, Santa Barbara, California

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1998
  • Pages : 970
  • ISBN : 9780780350632
  • Language : En, Es, Fr & De
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Pattern Recognition

Pattern Recognition
Analysis and Applications

by S. Ramakrishnan

  • Publisher : BoD – Books on Demand
  • Release : 2016-12-14
  • Pages : 136
  • ISBN : 9535128035
  • Language : En, Es, Fr & De
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Pattern recognition continued to be one of the important research fields in computer science and electrical engineering. Lots of new applications are emerging, and hence pattern analysis and synthesis become significant subfields in pattern recognition. This book is an edited volume and has six chapters arranged into two sections, namely, pattern recognition analysis and pattern recognition applications. This book will be useful for graduate students, researchers, and practicing engineers working in the field of machine vision and computer science and engineering.

Systems Engineering Models of Human-machine Interaction

Systems Engineering Models of Human-machine Interaction
A Book

by William B. Rouse

  • Publisher : North-Holland
  • Release : 1980
  • Pages : 152
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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32nd Applied Image Pattern Recognition Workshop (AIPR 2003)

32nd Applied Image Pattern Recognition Workshop (AIPR 2003)
Image Data Fusion

by Applied Imagery Pattern Recognition Workshop

  • Publisher : IEEE
  • Release : 2003
  • Pages : 302
  • ISBN : 9780769520292
  • Language : En, Es, Fr & De
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AIPR 2003 covers the fusion of images from many spectral bands, various sensors, preprocessing techniques such as polarization, image processing techniques such as Quantum and time varying processing. It also looks into the fusing of images and external parameters such as GPS, historical data collected about the image, expert knowledge of the image, and the fusing of X-rays and MRI generated images.