Download or read book Object Detection Using Motion Or Sound Sensing written by Harikrishna Muriki and published by . This book was released on 2011 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: The main purpose of this work is to implement a new framework for the detection of activities based on the temporal difference method. This system mainly consists of a unique interface with an integrated camera and microphone, for the purpose of monitoring moving objects and sound respectively. The proposed system also detracts one common flaw in motion detection based on the frame differencing technique, with the fusion of background subtraction technique and frame difference method. With the ever increasingly heightened sense of safety consciousness in today's society, video surveillance systems have been widely used in several fields, such as military affairs, public space security monitoring, and even in some private homes. The detection of the occurrence of activities is the most basic and important part of video surveillance systems, as such its quality and robustness warrant special attention and continuous research. The proposed system was implemented using MATLAB 7.10.0, and the results are found to be effective and robust.

Download or read book Robust Motion Detection in Real Life Scenarios written by Ester Martínez-Martín and published by Springer Science & Business Media. This book was released on 2012-07-10 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work proposes a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images, in terms of resolution distribution and pixel neighbourhood, is studied. This allows a spatial analysis of motion to be carried out. Then, a novel background maintenance approach for robust target motion detection is implemented. Two different situations are considered: a fixed camera observing a constant background where objects are moving; and a still camera observing objects in movement within a dynamic background. This distinction lies on developing a surveillance mechanism without the constraint of observing a scene free of foreground elements for several seconds when a reliable initial background model is obtained, as that situation cannot be guaranteed when a robotic system works in an unknown environment. Other problems are also addressed to successfully deal with changes in illumination, and the distinction between foreground and background elements.

Download or read book Moving Objects Detection Using Machine Learning written by Navneet Ghedia and published by Springer Nature. This book was released on 2022-01-01 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background subtraction approaches, foreground segmentation, and object tracking approaches to accomplish this. They also propose an algorithm that considers a multimodal background subtraction approach that can handle a dynamic background and different constraints. The authors show how the proposed algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same time, also able to work satisfactorily in a dynamic background and with challenging constraints. In addition, the shows how the proposed algorithm makes use of parameter optimization and adaptive threshold techniques as intrinsic improvements of the Gaussian Mixture Model. The presented system in the book is also able to handle partial occlusion during object detection and tracking. All the presented work and evaluations were carried out in offline processing with the computation done by a single laptop computer with MATLAB serving as software environment.

Download or read book Making Sense of Sensors written by Omesh Tickoo and published by Apress. This book was released on 2016-12-30 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make the most of the common architectures used for deriving meaningful data from sensors. This book provides you with the tools to understand how sensor data is converted into actionable knowledge and provides tips for in-depth work in this field. Making Sense of Sensors starts with an overview of the general pipeline to extract meaningful data from sensors. It then dives deeper into some commonly used sensors and algorithms designed for knowledge extraction. Practical examples and pointers to more information are used to outline the key aspects of Multimodal recognition. The book concludes with a discussion on relationship extraction, knowledge representation, and management. In today’s world we are surrounded by sensors collecting various types of data about us and our environments. These sensors are the primary input devices for wearable computers, IoT, and other mobile devices. The information is presented in way that allows readers to associate the examples with their daily lives for better understanding of the concepts. What You'll Learn Look at the general architecture for sensor based data Understand how data from common domains such as inertial, visual and audio is processed Master multi-modal recognition using multiple heterogeneous sensors Transition from recognition to knowledge through relationship understanding between entities Leverage different methods and tools for knowledge representation and management Who This Book Is For New college graduates and professionals interested in acquiring knowledge and the skills to develop innovative solutions around today's sensor-rich devices.

Download or read book Advanced Computational Intelligence for Object Detection Feature Extraction and Recognition in Smart Sensor Environments written by Marcin Woźniak and published by MDPI. This book was released on 2021-09-01 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –

Download or read book Incremental Object Recognition Using Range Sensors written by N. Keith Lay and published by . This book was released on 1999 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "This thesis presents a method for incrementally recognizing objects as they are scanned by range sensors mounted on a mobile platform, such as a construction, mining, or agricultural field robot. The method enhances the productivity of field robotic machines in these settings by allowing them to start planning and moving toward the object before scanning is complete, or execute other motion tasks without the need to stop and scan. The system consists of two components, an on-line method which accomplishes the recognition and an off-line method which generates a finite state machine and associated parameters which guide the process of incremental recognition. The online method handles range data from laser or radar range sensors and is robust to the noise and poor sensor data that can result from unmeasured sensor motion during scanning. The off-line method uses range data obtained by simulating a range sensor scanning the object model in a sequence of poses. The on-line component of the system is used by an automated machine to recognize and locate objects it must interact with in its work area. Since this method handles unmeasured sensor motion, costs of these automated systems can be reduced by eliminating the need for highly accurate positioning systems to compensate for motion during scanning. Objects that can be recognized and localized with this method may consist of planar surface patches that meet at boundaries or planar surface patches with dangling boundaries. Object surfaces and boundaries can contain variations found in industrial objects such as structural ribbing, brackets, or material clinging to the object. Material placed into the object may occlude part of the object's surfaces. The object models are stored as wire-frame models with linear segments corresponding to the boundaries of the surface patches. Additional information incorporates assumptions about the pose of an object and is referenced to the object model. The method continuously reports the best set of matches of object model features to scene model features as the sensor data is received. For the purposes of conducting experiments and evaluating the results this thesis focuses on a specific instance of this problem, the recognition of objects used during excavation operations such as on-highway and off-highway trucks. Results are presented using range data from scanning laser and radar range sensors designed for the environment and tasks of large mobile equipment. Results are presented which show that with a single truck model the method can report incremental descriptions at a rate of 20 Hz. This method has been used in demonstrations in which a hydraulic excavator equipped with range sensors and on-board computing autonomously loads multiple trucks."

Download or read book IoT Fundamentals with a Practical Approach written by Neera Batra and published by CRC Press. This book was released on 2024-08-19 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: IoT Fundamentals with a Practical Approach is an insightful book that serves as a comprehensive guide to understanding the foundations and key concepts of Internet of Things (IoT) technologies. The book begins by introducing readers to the concept of IoT, explaining the significance and potential impact on various industries and domains. It covers the underlying principles of IoT, including its architecture, connectivity, and communication protocols, providing readers with a solid understanding of how IoT systems are structured and how devices interact within an IoT ecosystem. This book dives into the crucial components that form the backbone of IoT systems. It explores sensors and actuators, explaining their roles in collecting and transmitting data from the physical environment. The book also covers electronic components used in IoT devices, such as microcontrollers, communication modules, and power management circuits. This comprehensive understanding of the building blocks of IoT allows readers to grasp the technical aspects involved in developing IoT solutions. Security is a vital aspect of IoT, and the book dedicates a significant portion to exploring security challenges and best practices in IoT deployments. It delves into topics such as authentication, encryption, access control, and secure firmware updates, providing readers with essential insights into safeguarding IoT systems against potential threats and vulnerabilities. This book also addresses the scalability and interoperability challenges of IoT. It discusses IoT platforms and frameworks that facilitate the development and management of IoT applications, highlighting their role in enabling seamless integration and communication between devices and systems. The book is written in a clear and accessible manner and includes real-world examples, making it suitable for both beginners and professionals looking to enhance their understanding of IoT. It serves as a valuable resource for engineers, developers, researchers, and decision-makers involved in IoT projects and provides them with the knowledge and tools necessary to design, implement, and secure IoT solutions.

Download or read book Moving Object Detection Using Background Subtraction written by Soharab Hossain Shaikh and published by Springer. This book was released on 2014-06-20 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field.

Download or read book Robotics and Smart Autonomous Systems written by Rashmi Priyadarshini and published by CRC Press. This book was released on 2024-11-25 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text discusses fundamental, advanced concepts and applications of robotics and autonomous systems. It further discusses important topics, such as robotics techniques in the manufacturing sector, applications of smart autonomous systems in the healthcare sector, resource optimization in mobile robotics, and smart autonomous transport systems. Features Covers design and application aspects of robotic systems for implementing the concepts of smart manufacturing with reduced human intervention, better accuracy, and enhanced production capacity. Discusses techniques including supervised learning, unsupervised learning, and reinforced learning with real-life examples. Highlights a unified intermodal approach for automated transportation including cars, trucks, ships, and port management. Explains the mechanical design of planetary rovers, and the mechanical design of space manipulators, actuators, and sensors. Presents programming tools and platforms for autonomous robotic systems. The book is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer science and engineering, and automotive engineering.

Download or read book AI and Blockchain Applications in Industrial Robotics written by Biradar, Rajashekhar C. and published by IGI Global. This book was released on 2023-12-29 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ever-evolving industrial landscape poses challenges for businesses, particularly in robotics, where performance optimization and data security are paramount. AI and Blockchain Applications in Industrial Robotics, edited by esteemed scholars Mihai Lazarescu, Rajashekhar Biradar, Geetha Devanagavi, Nikhath Tabassum, and Nayana Hegde, presents the transformative potential of combining AI and blockchain technologies to revolutionize the field. This exceptional book provides comprehensive insights into how AI enhances predictive models and pattern recognition, while blockchain ensures secure and immutable data transactions. By synergizing these technologies, businesses can achieve enhanced transparency, trust, and efficiency in their robotic processes. With practical applications, use cases, and real-world examples, the book caters to a wide range of readers, empowering them to embrace the possibilities of AI and blockchain in industrial robotics. AI and Blockchain Applications in Industrial Robotics equip industries with the tools and understanding to overcome challenges in optimizing performance, ensuring data security, and harnessing emerging technologies. Serving as a beacon of knowledge, this book drives innovation, efficiency, and competitiveness in the industrial sector. Whether for postgraduate students, researchers, industry professionals, undergraduate students, or freelance developers, the book provides valuable insights and practical guidance for implementing AI and blockchain solutions. By embracing the transformative potential of these technologies, industries can unlock new possibilities and propel themselves forward in the ever-advancing world of industrial robotics.

Download or read book Robot Programming written by Cameron Hughes and published by Que Publishing. This book was released on 2016-05-02 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: Start programming robots NOW! Learn hands-on, through easy examples, visuals, and code This is a unique introduction to programming robots to execute tasks autonomously. Drawing on years of experience in artificial intelligence and robot programming, Cameron and Tracey Hughes introduce the reader to basic concepts of programming robots to execute tasks without the use of remote controls. Robot Programming: A Guide to Controlling Autonomous Robots takes the reader on an adventure through the eyes of Midamba, a lad who has been stranded on a desert island and must find a way to program robots to help him escape. In this guide, you are presented with practical approaches and techniques to program robot sensors, motors, and translate your ideas into tasks a robot can execute autonomously. These techniques can be used on today’s leading robot microcontrollers (ARM9 and ARM7) and robot platforms (including the wildly popular low-cost Arduino platforms, LEGO® Mindstorms EV3, NXT, and Wowee RS Media Robot) for your hardware/Maker/DIY projects. Along the way the reader will learn how to: Program robot sensors and motors Program a robot arm to perform a task Describe the robot’s tasks and environments in a way that a robot can process using robot S.T.O.R.I.E.S. Develop a R.S.V.P. (Robot Scenario Visual Planning) used for designing the robot’s tasks in an environment Program a robot to deal with the “unexpected” using robot S.P.A.C.E.S. Program robots safely using S.A.R.A.A. (Safe Autonomous Robot Application Architecture) Approach Program robots using Arduino C/C++ and Java languages Use robot programming techniques with LEGO® Mindstorms EV3, Arduino, and other ARM7 and ARM9-based robots.

Download or read book Single Object Detection Using Multiple Sensors with Unknown Noise Distributions written by Shaofen Chen and published by . This book was released on 1992 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Ubiquitous Information Technologies and Applications written by Young-Sik Jeong and published by Springer Science & Business Media. This book was released on 2013-11-19 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theme of CUTE is focused on the various aspects of ubiquitous computing for advances in ubiquitous computing and provides an opportunity for academic and industry professionals to discuss the latest issues and progress in the area of ubiquitous computing. Therefore this book will be include the various theories and practical applications in ubiquitous computing

Download or read book Intelligent Network Video written by Fredrik Nilsson and published by CRC Press. This book was released on 2023-12-22 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third edition traces the trajectory of video surveillance technology from its roots to its current state and into its potential future role in security and beyond. For the reader, it is an opportunity to explore what the latest technology has to offer, as well as to gain some insight into the direction that surveillance will take us in the years ahead. The revised edition of Intelligent Network Video is more comprehensive in every area than the first and second editions, printed in over 25,000 copies. There is also a new chapter on cybersecurity, as well as thoroughly revised chapters on cloud and analytics. The book takes the reader on a tour through the building blocks of intelligent network video – from imaging to network cameras and video encoders, through the IT technologies of network and storage and into video management, analytics, and system design.

Download or read book Intelligent Computing written by Kohei Arai and published by Springer Nature. This book was released on with total page 699 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Ambient Assisted Living written by Reiner Wichert and published by Springer. This book was released on 2017-03-07 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, leading authors in the field discuss the habitats of tomorrow. These habitats will be connected through autonomous and assistive systems, turning habitats into health resorts. This book discusses how assistance technologies enable a smooth transition from comfortable health support to medical or nursing care. The contributions have been chosen and invited at the 9th AAL congress, Frankfurt.

Download or read book Computational Intelligence and Mathematical Applications written by Devendra Prasad and published by CRC Press. This book was released on 2024-08-29 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is with great pleasure to present the proceedings of the International Conference on Computational Intelligence and Mathematical Applications (ICCIMA 2023), held on 21-22 December 2023, at Panipat Institute of Engineering and Technology, Panipat. This conference brought scholars, researchers, professionals, and intellectuals together from diverse fields to exchange ideas, share insights, and foster collaborations in Optimization, Computational Intelligence and Mathematical Applications. The ICCIMA 2023 served as a platform for contributors to demonstrate their latest findings, discuss emerging trends, and explore innovations to the problems that different disciplines are currently experiencing. The conference’s scope and depth of themes reflect our community’s rich diversity of interests and levels of competence.