Computer Vision Technology for Food Quality Evaluation

Computer Vision Technology for Food Quality Evaluation
Author: Da-Wen Sun
Publsiher: Academic Press
Total Pages: 658
Release: 2016-04-07
ISBN 10: 0128025999
ISBN 13: 9780128025994
Language: EN, FR, DE, ES & NL

Computer Vision Technology for Food Quality Evaluation Book Review:

Computer Vision Technology for Food Quality Evaluation, Second Edition continues to be a valuable resource to engineers, researchers, and technologists in research and development, as well as a complete reference to students interested in this rapidly expanding field. This new edition highlights the most recent developments in imaging processing and analysis techniques and methodology, captures cutting-edge developments in computer vision technology, and pinpoints future trends in research and development for food quality and safety evaluation and control. It is a unique reference that provides a deep understanding of the issues of data acquisition and image analysis and offers techniques to solve problems and further develop efficient methods for food quality assessment. Thoroughly explains what computer vision technology is, what it can do, and how to apply it for food quality evaluation Includes a wide variety of computer vision techniques and applications to evaluate a wide variety of foods Describes the pros and cons of different techniques for quality evaluation

Computer Vision Technology for Food Quality Evaluation

Computer Vision Technology for Food Quality Evaluation
Author: Da-Wen Sun
Publsiher: Elsevier
Total Pages: 600
Release: 2011-04-28
ISBN 10: 9780080556246
ISBN 13: 0080556248
Language: EN, FR, DE, ES & NL

Computer Vision Technology for Food Quality Evaluation Book Review:

The first book in this rapidly expanding area, Computer Vision Technology for Food Quality Evaluation thoroughly discusses the latest advances in image processing and analysis. Computer vision has attracted much research and development attention in recent years and, as a result, significant scientific and technological advances have been made in quality inspection, classification and evaluation of a wide range of food and agricultural products. This unique work provides engineers and technologists working in research, development, and operations in the food industry with critical, comprehensive and readily accessible information on the art and science of computer vision technology. Undergraduate and postgraduate students and researchers in universities and research institutions will also find this an essential reference source. · Discusses novel technology for recognizing objects and extracting quantitative information from digital images in order to provide objective, rapid, non-contact and non-destructive quality evaluation. · International authors with both academic and professional credentials address in detail one aspect of the relevant technology per chapter making this ideal for textbook use · Divided into three parts, it begins with an outline of the fundamentals of the technology, followed by full coverage of the application in the most researched areas of meats and other foods, fruits, vegetables and grains.

Computer Vision Technology for Food Quality Evaluation

Computer Vision Technology for Food Quality Evaluation
Author: Da-Wen Sun
Publsiher: Academic Press
Total Pages: 583
Release: 2008
ISBN 10: 0123736420
ISBN 13: 9780123736420
Language: EN, FR, DE, ES & NL

Computer Vision Technology for Food Quality Evaluation Book Review:

This work provides engineers and technologists working in research, development and operations in the food industry with critical, comprehensive and readily accessible information on the art and science of computer vision technology.

Computer Vision Technology in the Food and Beverage Industries

Computer Vision Technology in the Food and Beverage Industries
Author: D-W Sun
Publsiher: Elsevier
Total Pages: 528
Release: 2012-08-13
ISBN 10: 0857095773
ISBN 13: 9780857095770
Language: EN, FR, DE, ES & NL

Computer Vision Technology in the Food and Beverage Industries Book Review:

The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing. Computer vision technology in the food and beverage industries reviews image acquisition and processing technologies and their applications in particular sectors of the food industry. Part one provides an introduction to computer vision in the food and beverage industries, discussing computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing. Part two goes on to consider computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure. Current and future applications of computer vision in specific areas of the food and beverage industries are the focus of part three. Techniques for quality control of meats are discussed alongside computer vision in the poultry, fish and bakery industries, including techniques for grain quality evaluation, and the evaluation and control of fruit, vegetable and nut quality. With its distinguished editor and international team of expert contributors, Computer vision technology in the food and beverage industries is an indispensible guide for all engineers and researchers involved in the development and use of state-of-the-art vision systems in the food industry. Discusses computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing Considers computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure Examines techniques for quality control and computer vision in various industries including the poultry, fish and bakery, fruit, vegetable and nut industry

Emerging Technologies for Food Quality and Food Safety Evaluation

Emerging Technologies for Food Quality and Food Safety Evaluation
Author: Yong-Jin Cho,Sukwon Kang
Publsiher: CRC Press
Total Pages: 378
Release: 2011-03-09
ISBN 10: 1439815259
ISBN 13: 9781439815250
Language: EN, FR, DE, ES & NL

Emerging Technologies for Food Quality and Food Safety Evaluation Book Review:

Even though the perception of food quality may depend on its hedonic and often subjective attributes, it is essential to quantitatively evaluate its quality and safety. Fortunately, the advent of sophisticated systems, including nondestructive testing techniques, has made it possible to definitively evaluate food quality. Reflecting these advances,

Nondestructive Food Evaluation

Nondestructive Food Evaluation
Author: Sundaram Gunasekaran
Publsiher: CRC Press
Total Pages: 440
Release: 2000-12-06
ISBN 10: 9780824704537
ISBN 13: 0824704533
Language: EN, FR, DE, ES & NL

Nondestructive Food Evaluation Book Review:

This volume illustrates significant changes in optical, magnetic, ultrasonic, mechanical and biological nondestructive evaluation techniques for online automatic control of food quality evaluation, including X-ray tomography. It presents advances in computer vision, X-ray imaging, ultrasonics, biosensors, and data analysis.

Hyperspectral Imaging Technology in Food and Agriculture

Hyperspectral Imaging Technology in Food and Agriculture
Author: Bosoon Park,Renfu Lu
Publsiher: Springer
Total Pages: 403
Release: 2015-09-29
ISBN 10: 1493928368
ISBN 13: 9781493928361
Language: EN, FR, DE, ES & NL

Hyperspectral Imaging Technology in Food and Agriculture Book Review:

Hyperspectral imaging or imaging spectroscopy is a novel technology for acquiring and analysing an image of a real scene by computers and other devices in order to obtain quantitative information for quality evaluation and process control. Image processing and analysis is the core technique in computer vision. With the continuous development in hardware and software for image processing and analysis, the application of hyperspectral imaging has been extended to the safety and quality evaluation of meat and produce. Especially in recent years, hyperspectral imaging has attracted much research and development attention, as a result rapid scientific and technological advances have increasingly taken place in food and agriculture, especially on safety and quality inspection, classification and evaluation of a wide range of food products, illustrating the great advantages of using the technology for objective, rapid, non-destructive and automated safety inspection as well as quality control. Therefore, as the first reference book in the area, Hyperspectral Imaging Technology in Food and Agriculture focuses on these recent advances. The book is divided into three parts, which begins with an outline of the fundamentals of the technology, followed by full covering of the application in the most researched areas of meats, fruits, vegetables, grains and other foods, which mostly covers food safety and quality as well as remote sensing applicable for crop production. Hyperspectral Imaging Technology in Food and Agriculture is written by international peers who have both academic and professional credentials, with each chapter addressing in detail one aspect of the relevant technology, thus highlighting the truly international nature of the work. Therefore the book should provide the engineer and technologist working in research, development, and operations in the food and agricultural industry with critical, comprehensive and readily accessible information on the art and science of hyperspectral imaging technology. It should also serve as an essential reference source to undergraduate and postgraduate students and researchers in universities and research institutions.

Nondestructive Evaluation of Food Quality

Nondestructive Evaluation of Food Quality
Author: Shyam N. Jha
Publsiher: Springer Science & Business Media
Total Pages: 288
Release: 2010-11-30
ISBN 10: 9783642157967
ISBN 13: 3642157963
Language: EN, FR, DE, ES & NL

Nondestructive Evaluation of Food Quality Book Review:

Numerous works on non-destructive testing of food quality have been reported in the literature. Techniques such as Near InfraRed (NIR) spectroscopy, color and visual spectroscopy, electronic nose and tongue, computer vision (image analysis), ultrasound, x-ray, CT and magnetic resonance imaging are some of the most applied for that purpose and are described in this book. Aspects such as theory/basics of the techniques, practical applications (sampling, experimentation, data analysis) for evaluation of quality attributes of food and some recent works reported in literature are presented and discussed. This book is particularly interesting for new researchers in food quality and serves as an updated state-of-the-art report for those already familiar with the field.

Computer Vision Based Agriculture Engineering

Computer Vision Based Agriculture Engineering
Author: Han Zhongzhi
Publsiher: CRC Press
Total Pages: 330
Release: 2019-09-16
ISBN 10: 1000691616
ISBN 13: 9781000691610
Language: EN, FR, DE, ES & NL

Computer Vision Based Agriculture Engineering Book Review:

In recent years, computer vision is a fast-growing technique of agricultural engineering, especially in quality detection of agricultural products and food safety testing. It can provide objective, rapid, non-contact and non-destructive methods by extracting quantitative information from digital images. Significant scientific and technological advances have been made in quality inspection, classification and evaluation of a wide range of food and agricultural products. Computer Vision-Based Agriculture Engineering focuses on these advances. The book contains 25 chapters covering computer vision, image processing, hyperspectral imaging and other related technologies in peanut aflatoxin, peanut and corn quality varieties, and carrot and potato quality, as well as pest and disease detection. Features: Discusses various detection methods in a variety of agricultural crops Each chapter includes materials and methods used, results and analysis, and discussion with conclusions Covers basic theory, technical methods and engineering cases Provides comprehensive coverage on methods of variety identification, quality detection and detection of key indicators of agricultural products safety Presents information on technology of artificial intelligence including deep learning and transfer learning Computer Vision-Based Agriculture Engineering is a summary of the author's work over the past 10 years. Professor Han has presented his most recent research results in all 25 chapters of this book. This unique work provides students, engineers and technologists working in research, development, and operations in agricultural engineering with critical, comprehensive and readily accessible information. It applies development of artificial intelligence theory and methods including depth learning and transfer learning to the field of agricultural engineering testing.

Evaluation Technologies for Food Quality

Evaluation Technologies for Food Quality
Author: Jian Zhong,Xichang Wang
Publsiher: Woodhead Publishing
Total Pages: 914
Release: 2019-04-16
ISBN 10: 0128142189
ISBN 13: 9780128142189
Language: EN, FR, DE, ES & NL

Evaluation Technologies for Food Quality Book Review:

Evaluation Technologies for Food Quality summarizes food quality evaluation technologies, which include sensory evaluation techniques and chemical and physical analysis. In particular, the book introduces many novel micro and nano evaluation techniques, such as atomic force microscopy, scanning electron microscopy, and other nanomaterial-based methods. All topics cover basic principles, procedures, advantages, limitations, recent technology development, and application progress in different types of foods. This book is a valuable resource for scientists in the field of food science, engineering, and professionals in the food industry, as well as for undergraduate and postgraduate students studying food quality evaluation technology. Explains basic principles, procedures, advantages, limitations, and current applications of recent food quality technologies Provides guidance on the understanding and application of food quality evaluation technology in the field of food research and food industry Introduces many novel micro/nano evaluation techniques, such as atomic force and scanning electron microscopies and other nanomaterial-based methods

Hyperspectral Imaging for Food Quality Analysis and Control

Hyperspectral Imaging for Food Quality Analysis and Control
Author: Da-Wen Sun
Publsiher: Academic Press
Total Pages: 477
Release: 2010
ISBN 10: 9780123747532
ISBN 13: 0123747538
Language: EN, FR, DE, ES & NL

Hyperspectral Imaging for Food Quality Analysis and Control Book Review:

Based on the integration of computer vision and spectrscopy techniques, hyperspectral imaging is a novel technology for obtaining both spatial and spectral information on a product. Used for nearly 20 years in the aerospace and military industries, more recently hyperspectral imaging has emerged and matured into one of the most powerful and rapidly growing methods of non-destructive food quality analysis and control. Hyperspectral Imaging for Food Quality Analysis and Control provides the core information about how this proven science can be practically applied for food quality assessment, including information on the equipment available and selection of the most appropriate of those instruments. Additionally, real-world food-industry-based examples are included, giving the reader important insights into the actual application of the science in evaluating food products. *Presentation of principles and instruments provides core understanding of how this science performs, as well as guideline on selecting the most appropriate equipment for implementation *Includes real-world, practical application to demonstrate the viability and challenges of working with this technology *Provides necessary information for making correct determination on use of hyperspectral imaging

A Guide for Machine Vision in Quality Control

A Guide for Machine Vision in Quality Control
Author: Sheila Anand,L. Priya
Publsiher: CRC Press
Total Pages: 208
Release: 2020-02-28
ISBN 10: 100075409X
ISBN 13: 9781000754094
Language: EN, FR, DE, ES & NL

A Guide for Machine Vision in Quality Control Book Review:

Machine Vision systems combine image processing with industrial automation. One of the primary areas of application of Machine Vision in the Industry is in the area of Quality Control. Machine vision provides fast, economic and reliable inspection that improves quality as well as business productivity. Building machine vision applications is a challenging task as each application is unique, with its own requirements and desired outcome. A Guide to Machine Vision in Quality Control follows a practitioner’s approach to learning machine vision. The book provides guidance on how to build machine vision systems for quality inspections. Practical applications from the Industry have been discussed to provide a good understanding of usage of machine vision for quality control. Real-world case studies have been used to explain the process of building machine vision solutions. The book offers comprehensive coverage of the essential topics, that includes: Introduction to Machine Vision Fundamentals of Digital Images Discussion of various machine vision system components Digital image processing related to quality control Overview of automation The book can be used by students and academics, as well as by industry professionals, to understand the fundamentals of machine vision. Updates to the on-going technological innovations have been provided with a discussion on emerging trends in machine vision and smart factories of the future. Sheila Anand is a PhD graduate and Professor at Rajalakshmi Engineering College, Chennai, India. She has over three decades of experience in teaching, consultancy and research. She has worked in the software industry and has extensive experience in development of software applications and in systems audit of financial, manufacturing and trading organizations. She guides Ph.D. aspirants and many of her research scholars have since been awarded their doctoral degree. She has published many papers in national and international journals and is a reviewer for several journals of repute. L Priya is a PhD graduate working as Associate Professor and Head, Department of Information Technology at Rajalakshmi Engineering College, Chennai, India. She has nearly two decades of teaching experience and good exposure to consultancy and research. She has delivered many invited talks, presented papers and won several paper awards in International Conferences. She has published several papers in International journals and is a reviewer for SCI indexed journals. Her areas of interest include Machine Vision, Wireless Communication and Machine Learning.

Quality Control in Fruit and Vegetable Processing

Quality Control in Fruit and Vegetable Processing
Author: P. W. Board
Publsiher: Food & Agriculture Org.
Total Pages: 63
Release: 1988
ISBN 10: 9789251024218
ISBN 13: 9251024219
Language: EN, FR, DE, ES & NL

Quality Control in Fruit and Vegetable Processing Book Review:

Handleiding voor kwaliteitsbewaking bij de conservering van groenten en vruchten op de volgende procesonderdelen: inblikken, dehydratatie, invriezen, zuren, sirooptoevoeging, kristallisering en chemische bewaring

Image Processing for the Food Industry

Image Processing for the Food Industry
Author: E R Davies
Publsiher: World Scientific
Total Pages: 312
Release: 2000-05-11
ISBN 10: 9814494410
ISBN 13: 9789814494410
Language: EN, FR, DE, ES & NL

Image Processing for the Food Industry Book Review:

This monograph provides detailed background on the image processing problems encountered in the food industry when automatic control and inspection systems are being designed and installed. It starts with a careful study of image processing and machine vision methodology, and then goes on to analyse how this can be applied in the main areas of food processing and production. A case study approach is used to give relevance to the work, making the book user-friendly. This book will help the food industry to observe 'due diligence', and researchers to be more aware of the problems of analysing images of food products. Contents:Image Processing Methodology:Images and Image ProcessingShape AnalysisFeature Detection and Object LocationTextureThree-Dimensional ProcessingPattern RecognitionApplication to Food Production:Inspection and Inspection ProceduresInspection of Baked ProductsCereal Grain InspectionX-Ray InspectionImage Processing in AgricultureVision for Fish and Meat ProcessingSystem Design ConsiderationsFood Processing for the Millennium Readership: Researchers and practitioners in image processing and computer vision. Keywords:Machine Vision;Image Processing;Food and Cereals Inspection;Image Acquisition and Illumination;X-Ray Inspection;Insect Detection;Baked Products;Agriculture;Due Diligence

Computer Vision for Structural Dynamics and Health Monitoring

Computer Vision for Structural Dynamics and Health Monitoring
Author: Dongming Feng,Maria Q. Feng
Publsiher: John Wiley & Sons
Total Pages: 256
Release: 2021-01-11
ISBN 10: 1119566584
ISBN 13: 9781119566588
Language: EN, FR, DE, ES & NL

Computer Vision for Structural Dynamics and Health Monitoring Book Review:

Provides comprehensive coverage of theory and hands-on implementation of computer vision-based sensors for structural health monitoring This book is the first to fill the gap between scientific research of computer vision and its practical applications for structural health monitoring (SHM). It provides a complete, state-of-the-art review of the collective experience that the SHM community has gained in recent years. It also extensively explores the potentials of the vision sensor as a fast and cost-effective tool for solving SHM problems based on both time and frequency domain analytics, broadening the application of emerging computer vision sensor technology in not only scientific research but also engineering practice. Computer Vision for Structural Dynamics and Health Monitoring presents fundamental knowledge, important issues, and practical techniques critical to successful development of vision-based sensors in detail, including robustness of template matching techniques for tracking targets; coordinate conversion methods for determining calibration factors to convert image pixel displacements to physical displacements; sensing by tracking artificial targets vs. natural targets; measurements in real time vs. by post-processing; and field measurement error sources and mitigation methods. The book also features a wide range of tests conducted in both controlled laboratory and complex field environments in order to evaluate the sensor accuracy and demonstrate the unique features and merits of computer vision-based structural displacement measurement. Offers comprehensive understanding of the principles and applications of computer vision for structural dynamics and health monitoring Helps broaden the application of the emerging computer vision sensor technology from scientific research to engineering practice such as field condition assessment of civil engineering structures and infrastructure systems Includes a wide range of laboratory and field testing examples, as well as practical techniques for field application Provides MATLAB code for most of the issues discussed including that of image processing, structural dynamics, and SHM applications Computer Vision for Structural Dynamics and Health Monitoring is ideal for graduate students, researchers, and practicing engineers who are interested in learning about this emerging sensor technology and advancing their applications in SHM and other engineering problems. It will also benefit those in civil and aerospace engineering, energy, and computer science.

Hyperspectral Imaging in Agriculture Food and Environment

Hyperspectral Imaging in Agriculture  Food and Environment
Author: Alejandro Isabel Luna Maldonado,Humberto Rodriguez-Fuentes,Juan Antonio Vidales Contreras
Publsiher: BoD – Books on Demand
Total Pages: 184
Release: 2018-08-01
ISBN 10: 1789232902
ISBN 13: 9781789232905
Language: EN, FR, DE, ES & NL

Hyperspectral Imaging in Agriculture Food and Environment Book Review:

This book is about the novel aspects and future trends of the hyperspectral imaging in agriculture, food, and environment. The topics covered by this book are hyperspectral imaging and their applications in the nondestructive quality assessment of fruits and vegetables, hyperspectral imaging for assessing quality and safety of meat, multimode hyperspectral imaging for food quality and safety, models fitting to pattern recognition in hyperspectral images, sequential classification of hyperspectral images, graph construction for hyperspectral data unmixing, target visualization method to process hyperspectral image, and soil contamination mapping with hyperspectral imagery. This book is a general reference work for students, professional engineers, and readers with interest in the subject.

Instrumental Assessment of Food Sensory Quality

Instrumental Assessment of Food Sensory Quality
Author: David Kilcast
Publsiher: Elsevier
Total Pages: 658
Release: 2013-09-30
ISBN 10: 0857098853
ISBN 13: 9780857098856
Language: EN, FR, DE, ES & NL

Instrumental Assessment of Food Sensory Quality Book Review:

Instrumental measurements of the sensory quality of food and drink are of growing importance in both complementing data provided by sensory panels and in providing valuable data in situations in which the use of human subjects is not feasible. Instrumental assessment of food sensory quality reviews the range and use of instrumental methods for measuring sensory quality. After an introductory chapter, part one goes on to explore the principles and practice of the assessment and analysis of food appearance, flavour, texture and viscosity. Part two reviews advances in methods for instrumental assessment of food sensory quality and includes chapters on food colour measurement using computer vision, gas chromatography-olfactometry (GC-O), electronic noses and tongues for in vivo food flavour measurement, and non-destructive methods for food texture assessment. Further chapters highlight in-mouth measurement of food quality and emerging flavour analysis methods for food authentication. Finally, chapters in part three focus on the instrumental assessment of the sensory quality of particular foods and beverages including meat, poultry and fish, baked goods, dry crisp products, dairy products, and fruit and vegetables. The instrumental assessment of the sensory quality of wine, beer, and juices is also discussed. Instrumental assessment of food sensory quality is a comprehensive technical resource for quality managers and research and development personnel in the food industry and researchers in academia interested in instrumental food quality measurement. Reviews the range and use of instrumental methods for measuring sensory quality Explores the principles and practice of the assessment and analysis of food appearance, flavour, texture and viscosity Reviews advances in methods for instrumental assessment of food sensory quality

Sensor Based Quality Assessment Systems for Fruits and Vegetables

Sensor Based Quality Assessment Systems for Fruits and Vegetables
Author: Bambang Kuswandi,Mohammed Wasim Siddiqui
Publsiher: CRC Press
Total Pages: 304
Release: 2020-12-18
ISBN 10: 1000170594
ISBN 13: 9781000170597
Language: EN, FR, DE, ES & NL

Sensor Based Quality Assessment Systems for Fruits and Vegetables Book Review:

Here is an abundance of valuable information on different sensing techniques for fruits and vegetables. The volume covers emerging technologies, such as NMR, MRI, wireless sensor networks (WSN), and radio-frequency identification (RFID) and their potential for industrial applications. Key features of the volume: • Provides an inclusive review of the developments of sensors for quality analysis and inspection of fresh fruits and vegetables • Fosters an understanding of the basic sensing techniques for quality assessment of fresh fruits and vegetables • Covers advanced sensing technologies, including computer vision, spectroscopy, X-rays, magnetic resonance, mechanical contact, wireless sensor networks, and radio-frequency identification sensors • Reviews the significant progress in sensor development of noninvasive techniques for quality assessment of fruits and vegetables

Modern Techniques for Food Authentication

Modern Techniques for Food Authentication
Author: Da-Wen Sun
Publsiher: Academic Press
Total Pages: 805
Release: 2018-07-25
ISBN 10: 0128142650
ISBN 13: 9780128142653
Language: EN, FR, DE, ES & NL

Modern Techniques for Food Authentication Book Review:

Modern Techniques for Food Authentication, Second Edition presents a comprehensive review of the novel techniques available to authenticate food products, including various spectroscopic technologies, methods based on isotopic analysis and chromatography, and other techniques based on DNA, enzymatic analysis and electrophoresis. This new edition pinpoints research and development trends for those working in research, development and operations in the food industry, giving them readily accessible information on modern food authentication techniques to ensure a safe and authentic food supply. It will also serve as an essential reference source to undergraduate and postgraduate students, and for researchers in universities and research institutions. Presents emerging imaging techniques that have proven to be powerful, non-destructive tools for food authentication Includes applications of hyperspectral imaging to reflect the current trend of developments in food imaging technology for each topic area Provides pixel level visualization techniques needed for fast and effective food sample testing Contains two new chapters on Imaging Spectroscopic Techniques

Computer Vision in Control Systems 4

Computer Vision in Control Systems 4
Author: Margarita N. Favorskaya,Lakhmi C. Jain
Publsiher: Springer
Total Pages: 317
Release: 2017-10-25
ISBN 10: 3319679945
ISBN 13: 9783319679945
Language: EN, FR, DE, ES & NL

Computer Vision in Control Systems 4 Book Review:

The research book is a continuation of the authors’ previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The book gathers selected contributions addressing a number of real-life applications including the identification of handwritten texts, watermarking techniques, simultaneous localization and mapping for mobile robots, motion control systems for mobile robots, analysis of indoor human activity, facial image quality assessment, android device controlling, processing medical images, clinical decision-making and foot progression angle detection. Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, the book offers a timely guide for all PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.