Visual Identification Of People By Computer
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Visual Identification Of People By Computer
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Author : Michael David Kelly
language : en
Publisher:
Release Date : 1970
Visual Identification Of People By Computer written by Michael David Kelly and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Artificial intelligence categories.
The thesis describes a computer program which performs a complex picture processing task. The task is to choose, from a collection of pictures of people taken by a TV camera, those pictures that depict the same person. The primary purpose of this research has been directed toward the development of new techniques for picture processing. (Author).
Visual Analysis Of Humans
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Author : Thomas B. Moeslund
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-10-08
Visual Analysis Of Humans written by Thomas B. Moeslund and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-08 with Computers categories.
This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges. Features: with a Foreword by Professor Larry Davis; contains contributions from an international selection of leading authorities in the field; includes an extensive glossary; discusses the problems associated with detecting and tracking people through camera networks; examines topics related to determining the time-varying 3D pose of a person from video; investigates the representation and recognition of human and vehicular actions; reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance.
Computer Vision Eccv 2010
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Author : Kostas Daniilidis
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-30
Computer Vision Eccv 2010 written by Kostas Daniilidis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-30 with Computers categories.
The six-volume set comprising LNCS volumes 6311 until 6313 constitutes the refereed proceedings of the 11th European Conference on Computer Vision, ECCV 2010, held in Heraklion, Crete, Greece, in September 2010. The 325 revised papers presented were carefully reviewed and selected from 1174 submissions. The papers are organized in topical sections on object and scene recognition; segmentation and grouping; face, gesture, biometrics; motion and tracking; statistical models and visual learning; matching, registration, alignment; computational imaging; multi-view geometry; image features; video and event characterization; shape representation and recognition; stereo; reflectance, illumination, color; medical image analysis.
Real Time Vision For Human Computer Interaction
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Author : Branislav Kisacanin
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-08-23
Real Time Vision For Human Computer Interaction written by Branislav Kisacanin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-23 with Computers categories.
The need for natural and effective Human-Computer Interaction (HCI) is increasingly important due to the prevalence of computers in human activities. Computer vision and pattern recognition continue to play a dominant role in the HCI realm. However, computer vision methods often fail to become pervasive in the field due to the lack of real-time, robust algorithms, and novel and convincing applications. This state-of-the-art contributed volume is comprised of articles by prominent experts in computer vision, pattern recognition and HCI. It is the first published text to capture the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in diverse and numerous industries, and it outlines further challenges in these areas. Real-Time Vision for Human-Computer Interaction is an invaluable reference for HCI researchers in both academia and industry, and a useful supplement for advanced-level courses in HCI and Computer Vision.
Pattern Recognition
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Author : José Francisco Martínez-Trinidad
language : en
Publisher: Springer
Release Date : 2011-06-24
Pattern Recognition written by José Francisco Martínez-Trinidad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-24 with Computers categories.
This book constitutes the refereed proceedings of the Third Mexican Conference on Pattern Recognition, MCPR 2011, held in Cancun, Mexico, in June/July 2011. The 37 revised full papers were carefully reviewed and selected from 69 submissions and are organized in topical sections on pattern recognition and data mining; computer vision and robotics; image processing; neural networks and signal processing; and natural language and document processing.
Recognition Of Humans And Their Activities Using Video
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Author : Rama Chellappa
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Recognition Of Humans And Their Activities Using Video written by Rama Chellappa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.
The recognition of humans and their activities from video sequences is currently a very active area of research because of its applications in video surveillance, design of realistic entertainment systems, multimedia communications, and medical diagnosis. In this lecture, we discuss the use of face and gait signatures for human identification and recognition of human activities from video sequences. We survey existing work and describe some of the more well-known methods in these areas. We also describe our own research and outline future possibilities. In the area of face recognition, we start with the traditional methods for image-based analysis and then describe some of the more recent developments related to the use of video sequences, 3D models, and techniques for representing variations of illumination. We note that the main challenge facing researchers in this area is the development of recognition strategies that are robust to changes due to pose, illumination, disguise, and aging. Gait recognition is a more recent area of research in video understanding, although it has been studied for a long time in psychophysics and kinesiology. The goal for video scientists working in this area is to automatically extract the parameters for representation of human gait. We describe some of the techniques that have been developed for this purpose, most of which are appearance based. We also highlight the challenges involved in dealing with changes in viewpoint and propose methods based on image synthesis, visual hull, and 3D models. In the domain of human activity recognition, we present an extensive survey of various methods that have been developed in different disciplines like artificial intelligence, image processing, pattern recognition, and computer vision. We then outline our method for modeling complex activities using 2D and 3D deformable shape theory. The wide application of automatic human identification and activity recognition methods will require the fusion of different modalities like face and gait, dealing with the problems of pose and illumination variations, and accurate computation of 3D models. The last chapter of this lecture deals with these areas of future research.
Visual Analysis Of Behaviour
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Author : Shaogang Gong
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-26
Visual Analysis Of Behaviour written by Shaogang Gong and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-26 with Computers categories.
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.
Multimodal Technologies For Perception Of Humans
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Author : Rainer Stiefelhagen
language : en
Publisher: Springer
Release Date : 2007-05-18
Multimodal Technologies For Perception Of Humans written by Rainer Stiefelhagen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-18 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the First International CLEAR 2006 Evaluation Campaign and Workshop on Classification of Events, Activities and Relationships for evaluation of multimodal technologies for the perception of humans, their activities and interactions. The workshop was held in the UK in April 2006. The papers were carefully reviewed and selected for inclusion in the book.
Computer Vision Seeing The World Through Ai Eye
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Author : Dr. Aadam Quraishi MD
language : en
Publisher: Xoffencer international book publication house
Release Date : 2025-01-15
Computer Vision Seeing The World Through Ai Eye written by Dr. Aadam Quraishi MD and has been published by Xoffencer international book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-15 with Computers categories.
The goal of the field of artificial intelligence (AI) known as computer vision is to give computers the ability to see and process visual input from their surroundings in a manner that is comparable to how humans see. This multidisciplinary field makes use of insights from the fields of neuroscience, computer science, mathematics, and engineering in order to construct models and algorithms that provide computers with the ability to recognize patterns, recognize things, and grasp scenarios. In the field of computer vision, the holy grail is the development of systems that are both efficient and accurate, and that are able to recognize objects, scenes, and other visual clues. These are jobs that have traditionally been associated with people. The rapid advancements in machine learning, particularly deep learning, have significantly accelerated the field of computer vision, which has resulted in the development of visual identification systems that are both more complicated and more effective. The most important aspects of computer vision are the methods of data collection, transformation, and analysis when it comes to visual information. For the purpose of initiating the process of image collection, sensors capture digital photographs or video streams of the environment that is surrounding them. In order to guarantee that the data is prepared for analysis, these photographs are preprocessed in order to enhance their quality and reduce the amount of noise. The process continues with the next processes, which are feature extraction and pattern recognition. These are the steps in which algorithms locate and label various components of the image. Feature isolation can be accomplished by a variety of techniques, including color segmentation, edge detection, and texture analysis. Recently, convolutional neural networks (CNNs) have been a game-changer in the field of computer vision systems. They have accomplished this by automating the process of feature extraction from raw images, which has dramatically improved the accuracy and efficiency of these systems. The numerous applications of computer vision can be of use to a wide variety of industries and professions. X-rays, magnetic resonance imaging (MRI), and other images are analyzed by computer vision, which assists medical personnel in diagnosing and treating patients. Through the ability to read road signs, identify pedestrians, and steer clear of impediments, it enables autonomous vehicles to navigate.
Visual Object Tracking With Deep Neural Networks
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Author : Pier Luigi Mazzeo
language : en
Publisher: BoD – Books on Demand
Release Date : 2019-12-18
Visual Object Tracking With Deep Neural Networks written by Pier Luigi Mazzeo and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-18 with Computers categories.
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.