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Face Recognition for Surveillance Purpose

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Face Recognition

control systems. Topics discussed in this compilation include two-dimensional principal component analysis algorithms for face recognition;

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Ethiopian face Recognition System Across Ages

Face recognition is one of the most attractive research area in the field of pattern recognition and computer vision due to its interesting;

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Biometric Recognition

Recognition, CCBR 2017, held in Shenzhen, China, in October 2017. The 15 full papers and 65 poster papers presented in this book were;

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Biometric Recognition

This book constitutes the refereed proceedings of the 11th Chinese Conference on Biometric Recognition, CCBR 2016, held in Chengdu, China;

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Recognition of Humans And Their Activities Using Video

use of face and gait signatures for human identification and recognition of human activities from video sequences. We survey existing work and;

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Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;

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Biometrics

Biometrics refers to methods for uniquely recognising humans based upon one or more intrinsic physical or behavioural traits;

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Deep Learning for Biometrics

, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent;

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Face Recognition

. * Findings and their explanations, conceptual issues, theories and models of face recognition * The Catch Model (Rakover & Cahlon) for;

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Face Detection and Recognition

, face recognition using evolutionary algorithms, and face recognition in frequency domain Discusses methods for the localization of face;

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Face Detection and Recognition

, face recognition using evolutionary algorithms, and face recognition in frequency domain Discusses methods for the localization of face;

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Dynamic Vision

Face recognition is a task that the human vision system seems to perform almost effortlessly, yet the goal of building computer-based;

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Handbook of Face Recognition

components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions;

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Multi-Modal Face Presentation Attack Detection

For the last ten years, face biometric research has been intensively studied by the computer vision community. Face recognition systems;

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Unconstrained Face Recognition

Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently;

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Intelligent Distributed Video Surveillance Systems

severely limit the effectiveness of these systems. Advances in information and communication technologies, such as computer vision for face;

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Face Recognition Technology

This book examines how face recognition technology is affecting privacy and confidentiality in an era of enhanced surveillance. Further, it;

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Face Recognition

, gender, age and species. What factors might account for this type of bias in face recognition? This collection considers the issue of how our;

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Face Recognition

, gender, age and species. What factors might account for this type of bias in face recognition? This collection considers the issue of how our;

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Face Image Analysis with Convolutional Neural Networks

recognition which are the crucial parts of many applications in the context of indexation, surveillance, access-control or human-computer interaction;

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Visual Affect Recognition

gestures, with the purpose of developing a fully automated visual affect recognition system for use in modes of human/computer interaction. The;

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Face Recognition using Vector Quantization

This book presents a novel approach for Face Recognition using 'Vector Quantization'. Face Recognition is one of the popular biometric;

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Video Analytics. Face and Facial Expression Recognition and Audience Measurement

This book constitutes the proceedings of the Third Workshop on Video Analytics for Audience Measurement, VAAM 2016, and the Second;

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Introduction to Intelligent Surveillance

of privacy and ethics; discusses the Viola-Jones object detection method, and the HOG algorithm for pedestrian and human behavior recognition;

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Hybrid Metaheuristics for Image Analysis

This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how;

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Signal and Image Processing for Biometrics

for Person Recognition, Antitza Dantcheva, Christelle Yemdji, Petros Elia and Jean-Luc Dugelay. 4. Modeling, Reconstruction and Tracking;

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