Object Detection Using Motion Or Sound Sensing
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Object Detection Using Motion Or Sound Sensing
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Author : Harikrishna Muriki
language : en
Publisher:
Release Date : 2011
Object Detection Using Motion Or Sound Sensing written by Harikrishna Muriki and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Detectors categories.
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.
Moving Objects Detection Using Machine Learning
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Author : Navneet Ghedia
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Moving Objects Detection Using Machine Learning written by Navneet Ghedia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.
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.
Single Object Detection Using Multiple Sensors With Unknown Noise Distributions
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Author : Shaofen Chen
language : en
Publisher:
Release Date : 1992
Single Object Detection Using Multiple Sensors With Unknown Noise Distributions written by Shaofen Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Distributed operating systems (Computers) categories.
Tracking Of Moving Objects In Video Sequences
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Author : S R Boselin Prabhu
language : en
Publisher: Educreation Publishing
Release Date : 2018-09-10
Tracking Of Moving Objects In Video Sequences written by S R Boselin Prabhu and has been published by Educreation Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-10 with Education categories.
Object tracking could be a terribly difficult task within the presence of variability illumination condition, background motion, complicated object form, partial and full object occlusions. The main intention of an object trailer is to make the path of an object over time by characteristic its position in all frames of the video. This book is intended to educate the researchers in the field of tracking of moving object(s) in a video sequence. This book provides a path for the researchers to identify the works done by others in the same field and thereby to figure out the gap in the current knowledge. This book is organized into three Modules. Module 1 talks about the introduction of object detection and tracking. Module 2 discusses about the various studies of object tracking and motion detection. The views of the various authors about this hot research topic are discussed in this Module and Module 3 gives the conclusion of the entire research review.Object tracking could be a terribly difficult task within the presence of variability illumination condition, background motion, complicated object form, partial and full object occlusions. The main intention of an object trailer is to make the path of an object over time by characteristic its position in all frames of the video. This book is intended to educate the researchers in the field of tracking of moving object(s) in a video sequence. This book provides a path for the researchers to identify the works done by others in the same field and thereby to figure out the gap in the current knowledge. This book is organized into three Modules. Module 1 talks about the introduction of object detection and tracking. Module 2 discusses about the various studies of object tracking and motion detection. The views of the various authors about this hot research topic are discussed in this Module and Module 3 gives the conclusion of the entire research review.
Motion Tracking And Gesture Recognition
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Author : Carlos Travieso-Gonzalez
language : en
Publisher: BoD – Books on Demand
Release Date : 2017-07-12
Motion Tracking And Gesture Recognition written by Carlos Travieso-Gonzalez 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 2017-07-12 with Computers categories.
Nowadays, the technological advances allow developing many applications on different fields. In this book Motion Tracking and Gesture Recognition, two important fields are shown. Motion tracking is observed by a hand-tracking system for surgical training, an approach based on detection of dangerous situation by the prediction of moving objects, an approach based on human motion detection results and preliminary environmental information to build a long-term context model to describe and predict human activities, and a review about multispeaker tracking on different modalities. On the other hand, gesture recognition is shown by a gait recognition approach using Kinect sensor, a study of different methodologies for studying gesture recognition on depth images, and a review about human action recognition and the details about a particular technique based on a sensor of visible range and with depth information.
Feature Detectors And Motion Detection In Video Processing
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Author : Dey, Nilanjan
language : en
Publisher: IGI Global
Release Date : 2016-10-25
Feature Detectors And Motion Detection In Video Processing written by Dey, Nilanjan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-25 with Computers categories.
Video is one of the most important forms of multimedia available, as it is utilized for security purposes, to transmit information, promote safety, and provide entertainment. As motion is the most integral element in videos, it is important that motion detection systems and algorithms meet specific requirements to achieve accurate detection of real time events. Feature Detectors and Motion Detection in Video Processing explores innovative methods and approaches to analyzing and retrieving video images. Featuring empirical research and significant frameworks regarding feature detectors and descriptor algorithms, the book is a critical reference source for professionals, researchers, advanced-level students, technology developers, and academicians.
Advanced Computational Intelligence For Object Detection Feature Extraction And Recognition In Smart Sensor Environments
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Author : Marcin Woźniak
language : en
Publisher: MDPI
Release Date : 2021-09-01
Advanced Computational Intelligence For Object Detection Feature Extraction And Recognition In Smart Sensor Environments written by Marcin Woźniak and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Technology & Engineering categories.
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 –
Iot Fundamentals With A Practical Approach
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Author : Neera Batra
language : en
Publisher: CRC Press
Release Date : 2024-08-19
Iot Fundamentals With A Practical Approach written by Neera Batra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-19 with Computers categories.
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.
An Empirical Study Of Block Matching Techniques For The Detection Of Moving Objects
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Author : C. Kamath
language : en
Publisher:
Release Date : 2006
An Empirical Study Of Block Matching Techniques For The Detection Of Moving Objects written by C. Kamath and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
The basis of surveillance, event detection, and tracking applications is the detection of moving objects in complex scenes. Complex scenes are difficult to analyze because of camera noise and lighting conditions. Currently, moving objects are detected primarily using background subtraction. We analyze block matching as an alternative for detecting moving objects. Block matching has been extensively utilized in compression algorithms for motion estimation. Besides detection of moving objects, block matching also provides motion vectors (location of motion) which can aide in tracking objects. Block matching techniques consist of three main components: block determination, search methods, and matching criteria. We compare various options for each of the components with moving object detection as the performance goal. Publicly available sequences of several different traffic and weather conditions are used to evaluate the techniques. A coherence metric and the average magnitude of object motion vector error are used to evaluate block determination approaches and search methods. To compare the matching criteria we use precision-recall curves to evaluate the performance of motion detection. We present an empirical study of the block matching techniques using these metrics of performance as well as process timing. We found the hierarchical block determination approach has an overall higher coherence of object motion vectors than the simple block determination approach, but with a significant increase in process timing. The average magnitude of object motion vector for the search methods evaluated were comparable, with the cross search method having a better coherence of object motion vectors. Overall the three step search (TSS) detects more moving objects than the cross and 2D-logarithmic search methods. And the mean square difference (MSD) matching criterion has the best precision-recall as well as process timing when using zero motion biasing.
Ubiquitous Information Technologies And Applications
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Author : Young-Sik Jeong
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-19
Ubiquitous Information Technologies And Applications written by Young-Sik Jeong 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 2013-11-19 with Technology & Engineering categories.
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