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Low Level Computer Vision Applications To Surveillance And Robotics
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Book Synopsis Applications of Computer Vision in Automation and Robotics by : Krzysztof Okarma
Download or read book Applications of Computer Vision in Automation and Robotics written by Krzysztof Okarma and published by MDPI. This book was released on 2021-01-28 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research results related to various applications of computer vision methods in the widely understood contexts of automation and robotics. As the current progress of image analysis applications may be easily observed in various areas of everyday life, it becomes one of the most essential elements of development of Industry 4.0 solutions. Some of the examples, partially discussed in individual chapters, may be related to the visual navigation of mobile robots and drones, monitoring of industrial production lines, non-destructive evaluation and testing, monitoring of the IoT devices or the 3D printing process and the quality assessment of manufactured objects, video surveillance systems, and decision support in autonomous vehicles.
Book Synopsis Computer Vision In Medical Imaging by : Chi Hau Chen
Download or read book Computer Vision In Medical Imaging written by Chi Hau Chen and published by World Scientific. This book was released on 2013-11-18 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.
Book Synopsis Advances in Wireless, Mobile Networks and Applications by : Salah S. Al-Majeed
Download or read book Advances in Wireless, Mobile Networks and Applications written by Salah S. Al-Majeed and published by Springer. This book was released on 2011-06-11 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Wireless, Mobile Networks and Applications, WiMoA 2011, and the First International Conference on Computer Science, Engineering and Applications, ICCSEA 2011, held in Dubai, United Arab Emirates, in May 2011. The book is organized as a collection of papers from WiMoA 2011 and ICCSEA 2011. The 8 revised full papers presented in the WiMoA 2011 part were carefully reviewed and selected from 63 submissions. The 20 revised full papers presented in the ICCSEA 2011 part were carefully reviewed and selected from 110 submissions.
Book Synopsis Embedded Visual System and Its Applications on Robots by : De Xu
Download or read book Embedded Visual System and Its Applications on Robots written by De Xu and published by Bentham Science Publishers. This book was released on 2010 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation Embedded vision systems such as smart cameras have been rapidly developed recently. Vision systems have become smaller and lighter, but their performance has improved. The algorithms in embedded vision systems have their specifications limited by frequency of CPU, memory size, and architecture. The goal of this e-book is to provide a an advanced reference work for engineers, researchers and scholars in the field of robotics, machine vision, and automation and to facilitate the exchange of their ideas, experiences and views on embedded vision system models. The effectiveness for all methods is emphasized in a practical sense for systems presented in this e-book.
Download or read book Machine Vision written by E. R. Davies and published by Elsevier. This book was released on 2004-12-22 with total page 973 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directly addresses this need.As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems.· Includes solid, accessible coverage of 2-D and 3-D scene analysis.· Offers thorough treatment of the Hough Transform—a key technique for inspection and surveillance.· Brings vital topics and techniques together in an integrated system design approach.· Takes full account of the requirement for real-time processing in real applications.
Book Synopsis Computer Vision -- ECCV 2014 by : David Fleet
Download or read book Computer Vision -- ECCV 2014 written by David Fleet and published by Springer. This book was released on 2014-08-14 with total page 871 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.
Download or read book Mastering Rust written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you ready to conquer the world of modern programming with confidence and precision? "Mastering Rust" is your gateway to unlocking the true potential of the Rust programming language. Whether you're a seasoned developer aiming to expand your toolkit or a programming novice ready to embark on an exciting journey, this comprehensive guide will equip you with the skills to develop robust, efficient, and secure software. Key Features: 1. Deep Dive into Rust Fundamentals: Immerse yourself in the core concepts of Rust programming, starting from its origins and design philosophy. Explore variables, data types, ownership, and borrowing—the pillars of Rust's safety and performance. 2. Memory Safety and Concurrency: Discover Rust's groundbreaking ownership model, designed to eliminate memory-related bugs and ensure your code runs smoothly. Dive into Rust's concurrency features, including threads and async programming, to build responsive and efficient applications. 3. Advanced Data Structures and Algorithms: Elevate your coding prowess by mastering Rust's data structures and algorithms. From vectors and hash maps to trees and graphs, learn how to leverage these structures to solve complex problems with elegance and efficiency. 4. Building Reliable Applications: Explore best practices for structuring and organizing your Rust projects. Gain insights into error handling, testing, and writing clean, maintainable code that thrives in real-world scenarios. 5. Harnessing Rust's Standard Library: Maximize your productivity by harnessing the capabilities of Rust's rich standard library. From working with files and networking to parsing and formatting data, leverage these powerful tools to streamline your development process. 6. Web Development and Beyond: Create dynamic web applications using Rust's modern web frameworks. Dive into concepts like routing, templating, and database integration to build web solutions that are as performant as they are secure. 7. Advanced Language Features: Push the boundaries of your Rust knowledge by exploring advanced topics such as macros, traits, and pattern matching. Craft expressive, idiomatic code that showcases the elegance and power of the Rust language. 8. Performance Optimization: Master the art of optimizing Rust applications for top-notch performance. Learn profiling techniques, memory management, and benchmarking to ensure your software runs efficiently. 9. Deployment and DevOps: Navigate the landscape of deploying Rust applications to various platforms. Discover containerization and adopt DevOps practices that streamline your development-to-production pipeline. Who This Book Is For: "Mastering Rust" is an indispensable companion for developers of all levels of expertise who are eager to harness the capabilities of the Rust programming language. Whether you're a novice programmer or a seasoned coder looking to embrace Rust's unique features, this book will guide you through the language's nuances and empower you to create resilient, high-performance software.
Book Synopsis Computer Vision- A Complete Overciew by : Code Xtracts
Download or read book Computer Vision- A Complete Overciew written by Code Xtracts and published by by Mocktime Publication. This book was released on 2023-06-11 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision- A Complete Overciew for Engineering, BCA abd BSC Computer Courses; BCA Semester, Engineering Semester, BSC Computer Semester
Book Synopsis Intelligent active vision systems for robots by : Erik Valdemar Cuevas Jiménez
Download or read book Intelligent active vision systems for robots written by Erik Valdemar Cuevas Jiménez and published by Cuvillier Verlag. This book was released on 2007-01-08 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, an active vision system is developed which is based on image strategy. The image based control structure uses the optical flow algorithm for motion detection of an object in a visual scene. Because the optical flow is very sensitive to changes in illumination or to the quality of the video, it was necessary to use median filtering and erosion and dilatation morphological operations for the decrease of erroneous blobs residing in individual frames. Since the image coordinates of the object are subjected to noise, the Kalman filtering technique is adopted for robust estimation. A fuzzy controller based on the fuzzy condensed algorithm allows real time work for each captured frame. Finally, the proposed active vision system has been simulated in the development/simulation environment Matlab/Simulink.
Book Synopsis Hands-on ML Projects with OpenCV by : Mugesh S.
Download or read book Hands-on ML Projects with OpenCV written by Mugesh S. and published by Orange Education Pvt Ltd. This book was released on 2023-08-10 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Be at your A game in building Intelligent systems by leveraging Computer vision and Machine Learning. KEY FEATURES ● Step-by-step instructions and code snippets for real world ML projects. ● Covers entire spectrum from basics to advanced concepts such as deep learning, transfer learning, and model optimization ● Loaded with practical tips and best practices for implementing machine learning with OpenCV for optimising your workflow. DESCRIPTION This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It’s an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. By the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications. Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python. WHAT WILL YOU LEARN ● Learn how to work with images and perform basic image processing tasks using OpenCV. ● Implement machine learning techniques to computer vision tasks such as image classification, object detection, and image segmentation. ● Work on real-world projects and datasets to gain hands-on experience in applying machine learning techniques with OpenCV. ● Explore the concepts of deep learning using Tensorflow and Keras and how it can be used for computer vision tasks. ● Understand the concept of transfer learning and how pre-trained models can be leveraged for new tasks. ● Utilize techniques for model optimization and deployment in resource-constrained environments. ● Implement end-to-end solutions and address challenges encountered in practical scenarios. WHO IS THIS BOOK FOR? This book is for everyone with a basic understanding of programming and who wants to apply machine learning in computer vision using OpenCV and Python. Whether you're a student, researcher, or developer, this book will equip you with practical skills for machine learning projects. Some familiarity with Python and machine learning concepts is assumed. Beginners too will find this book valuable as it offers clear examples and explanations for every concept. TABLE OF CONTENTS Chapter 1: Getting Started With OpenCV Chapter 2: Basic Image & Video Analytics in OpenCV Chapter 3: Image Processing 1 using OpenCV Chapter 4: Image Processing 2 using OpenCV Chapter 5: Thresholding and Contour Techniques Using OpenCV Chapter 6: Detect Corners and Road Lane using OpenCV Chapter 7: Object And Motion Detection Using Opencv Chapter 8: Image Segmentation and Detecting Faces Using OpenCV Chapter 9: Introduction to Deep Learning with OpenCV Chapter 10: Advance Deep Learning Projects with OpenCV Chapter 11: Deployment of OpenCV projects
Book Synopsis Real-Time Computer Vision by : Christopher M. Brown
Download or read book Real-Time Computer Vision written by Christopher M. Brown and published by Cambridge University Press. This book was released on 1995-03-30 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first book on real-time computer vision will interest all involved in the design and programming of visually guided systems.
Book Synopsis Image Processing, Computer Vision, and Pattern Recognition by : Hamid R. Arabnia
Download or read book Image Processing, Computer Vision, and Pattern Recognition written by Hamid R. Arabnia and published by 2019 Worldcomp Internation. This book was released on 2020-03-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 2019 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'19) held July 29th - August 1st, 2019 in Las Vegas, Nevada.
Book Synopsis Robotic Vision: Technologies for Machine Learning and Vision Applications by : Garcia-Rodriguez, Jose
Download or read book Robotic Vision: Technologies for Machine Learning and Vision Applications written by Garcia-Rodriguez, Jose and published by IGI Global. This book was released on 2012-12-31 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotic systems consist of object or scene recognition, vision-based motion control, vision-based mapping, and dense range sensing, and are used for identification and navigation. As these computer vision and robotic connections continue to develop, the benefits of vision technology including savings, improved quality, reliability, safety, and productivity are revealed. Robotic Vision: Technologies for Machine Learning and Vision Applications is a comprehensive collection which highlights a solid framework for understanding existing work and planning future research. This book includes current research on the fields of robotics, machine vision, image processing and pattern recognition that is important to applying machine vision methods in the real world.
Book Synopsis Robotics, Vision and Control by : Peter Corke
Download or read book Robotics, Vision and Control written by Peter Corke and published by Springer. This book was released on 2011-09-05 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics and one for vision. The key strength of the Toolboxes provide a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used —instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself. The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and computer vision separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and computer vision. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, then camera models, image processing, feature extraction and epipolar geometry, and bring it all together in a visual servo system. Additional material is provided at http://www.petercorke.com/RVC
Book Synopsis Dissertation Abstracts International by :
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2008 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Deep Learning for Robot Perception and Cognition by : Alexandros Iosifidis
Download or read book Deep Learning for Robot Perception and Cognition written by Alexandros Iosifidis and published by Academic Press. This book was released on 2022-02-04 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis
Book Synopsis OpenVX Programming Guide by : Frank Brill
Download or read book OpenVX Programming Guide written by Frank Brill and published by Academic Press. This book was released on 2020-05-22 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: OpenVX is the computer vision API adopted by many high-performance processor vendors. It is quickly becoming the preferred way to write fast and power-efficient code on embedded systems. OpenVX Programming Guidebook presents definitive information on OpenVX 1.2 and 1.3, the Neural Network, and other extensions as well as the OpenVX Safety Critical standard. This book gives a high-level overview of the OpenVX standard, its design principles, and overall structure. It covers computer vision functions and the graph API, providing examples of usage for the majority of the functions. It is intended both for the first-time user of OpenVX and as a reference for experienced OpenVX developers. - Get to grips with the OpenVX standard and gain insight why various options were chosen - Start developing efficient OpenVX code instantly - Understand design principles and use them to create robust code - Develop consumer and industrial products that use computer vision to understand and interact with the real world