Investigations On Multi Sensor Image System And Its Surveillance Applications
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Investigations On Multi Sensor Image System And Its Surveillance Applications
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Author : Zheng Liu
language : en
Publisher: Universal-Publishers
Release Date : 2010-08
Investigations On Multi Sensor Image System And Its Surveillance Applications written by Zheng Liu and has been published by Universal-Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08 with Technology & Engineering categories.
This thesis investigates the issues of implementing multi-sensor imaging system for surveillance applications. Three topics for the fusion of infrared and electro-optic images are studied, i.e. registration, fusion, and evaluation. The first topic is the image registration or alignment, which is to associate corresponding pixels in multiple images to the same physical point in the scene. A trajectory-based method for registering infrared and electro-optic video sequences is proposed in this study. The initial registration parameters are derived from matching the trajectories across the consecutive video frames. Further refinement can be carried out by applying a maximum mutual information approach. The frame difference, from which the feature point is detected, is found with an image structural similarity measurement. The second topic is the implementation of pixel-level fusion. Two applications are considered in this study. Motivated by the adaptive enhancement, a modified pixel-level fusion scheme is proposed to implement the context enhancement. A visual image is first enhanced with the corresponding infrared image. Then, the enhanced image is fused with the visual image again to highlight the background features. This achieves a context enhancement most suitable for human perception. As the application of multi-sensor concealed weapon detection (CWD) is concerned, this thesis clarifies the requirements and concepts for CWD. How the CWD application can benefit from multi-sensor fusion is identified and a framework of multi-sensor CWD is proposed. A solution to synthesize a composite image from infrared and visual image is presented with experimental results. The synthesized image, on one hand provides both the information of personal identification and the suspicious region of concealed weapons; on the other hand implements the privacy protection, which appears to be an important aspect of the CWD process. The third topic is about the fusion performance assessment. In this study, the evaluation metrics are developed for reference-based assessment and blind assessment respectively. An absolute measurement of image features, namely phase congruency, is employed. Future work should include the reliability and optimization study of multiple image sensors from applications' and human perception-related perspectives. This thesis is a contribution to such research.
Multi Sensor Image Fusion And Its Applications
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Author : Rick S. Blum
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Multi Sensor Image Fusion And Its Applications written by Rick S. Blum and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.
Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies. After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, nondestructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation. Supplying a 28-page full-color insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.
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Author :
language : en
Publisher: IOS Press
Release Date :
written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Applied Video Processing In Surveillance And Monitoring Systems
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Author : Dey, Nilanjan
language : en
Publisher: IGI Global
Release Date : 2016-10-11
Applied Video Processing In Surveillance And Monitoring Systems 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 2016-10-11 with Computers categories.
Video monitoring has become a vital aspect within the global society as it helps prevent crime, promote safety, and track daily activities such as traffic. As technology in the area continues to improve, it is necessary to evaluate how video is being processed to improve the quality of images. Applied Video Processing in Surveillance and Monitoring Systems investigates emergent techniques in video and image processing by evaluating such topics as segmentation, noise elimination, encryption, and classification. Featuring real-time applications, empirical research, and vital frameworks within the field, this publication is a critical reference source for researchers, professionals, engineers, academicians, advanced-level students, and technology developers.
Biometric Data In Smart Cities
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Author : Stepan Bilan
language : en
Publisher: CRC Press
Release Date : 2021-07-18
Biometric Data In Smart Cities written by Stepan Bilan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-18 with Technology & Engineering categories.
covers the theoretical foundations of building a biometric multisensor network, which allowsto create a unified urban biometric community provides foundations of the parallel shift technology and the Radon transformation on cellular automata with a hexagonal covering discusses the methods of biometric identification by gait parameters and the geometric shape of the auricle, which are effectively used in a smart city serves as a great resource for undergraduate, graduate students and specialists working and conducting research in the field of biometric information processing, as well as in the development and construction of distributed intelligent systems
Advances And Challenges In Multisensor Data And Information Processing
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Author : E. Lefebvre
language : en
Publisher: IOS Press
Release Date : 2007-05-11
Advances And Challenges In Multisensor Data And Information Processing written by E. Lefebvre and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-11 with Business & Economics categories.
Information fusion resulting from multi-source processing, often called multisensor data fusion when sensors are the main sources of information, is a relatively young (less than 20 years) technology domain. It provides techniques and methods for: Integrating data from multiple sources and using the complementarity of this data to derive maximum information about the phenomenon being observed; Analyzing and deriving the meaning of these observations; Selecting the best course of action; and Controlling the actions. Various sensors have been designed to detect some specific phenomena, but not others. Data fusion applications can combine synergically information from many sensors, including data provided by satellites and contextual and encyclopedic knowledge, to provide enhanced ability to detect and recognize anomalies in the environment, compared with conventional means. Data fusion is an integral part of multisensor processing, but it can also be applied to fuse non-sensor information (geopolitical, intelligence, etc.) to provide decision support for a timely and effective situation and threat assessment. One special field of application for data fusion is satellite imagery, which can provide extensive information over a wide area of the electromagnetic spectrum using several types of sensors (Visible, Infra-Red (IR), Thermal IR, Radar, Synthetic Aperture Radar (SAR), Polarimetric SAR (PolSAR), Hyperspectral...). Satellite imagery provides the coverage rate needed to identify and monitor human activities from agricultural practices (land use, crop types identification...) to defence-related surveillance (land/sea target detection and classification). By acquiring remotely sensed imagery over earth regions that land sensors cannot access, valuable information can be gathered for the defence against terrorism. This books deals with the following research areas: Target recognition/classification and tracking; Sensor systems; Image processing; Remote sensing and remote control; Belief functions theory; and Situation assessment.
Sensors Theory Algorithms And Applications
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Author : Vladimir L. Boginski
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-24
Sensors Theory Algorithms And Applications written by Vladimir L. Boginski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-24 with Mathematics categories.
The objective of this book is to advance the current knowledge of sensor research particularly highlighting recent advances, current work, and future needs. The goal is to share current technologies and steer future efforts in directions that will benefit the majority of researchers and practitioners working in this broad field of study.
Image Fusion For Surveillance Systems
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Author : Zhiyun Xue
language : en
Publisher:
Release Date : 2006
Image Fusion For Surveillance Systems written by Zhiyun Xue and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Electronic surveillance categories.
Image fusion is a process of combining complementary information from multiple images to generate a single image that is more suitable for the purpose of human visual perception or further image processing tasks. The source images can come from different types of sensors of the same basic type or they may come from different types of sensors. In our research, we focus on fusing images from different sensors. The application we mainly considered is the concealed weapon detection application (CWD) which utilizes multiple sensors to improve the identification of the person having weapons hidden underneath his clothing. CWD appears to be a critical technology for dealing with terrorism which is the most significant law enforcement problem for the next decade. In this dissertation, we focused on investigating three aspects of image fusion which have impact on the CWD application, with the hope of shedding more light on this promising area. First, we tested and compared the performance of a large set of typical image fusion algorithms for the CWD application using some typical quality measures. Based on the experimental results, it is clear that there is a need to develop new image fusion algorithms that are more effective for this specific application. In addition, most of the current image fusion work has been limited to monochrome images although the human vision system is very sensitive to colors. Thus, we proposed a new color fusion algorithm. Using the proposed method the fused image will maintain the high resolution and the natural color of the visual image while incorporating any useful information detected by the nonvisual sensor. The utility of the proposed method was demonstrated in the experimental tests. For multisensor image fusion, blind estimation of the image quality is of great interest and of great difficulty. Several objective image quality measures for image fusion have appeared, but there has been a lack of theoretical analysis on the performance of the quality measures. Thus, in this dissertation, we took a first step towards theoretically analyzing one of the popular quality measures, a mutual information based quality measure which had only been tested experimentally for a limited number of cases. We augmented these experimental tests with analysis.
Distributed Video Sensor Networks
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Author : Bir Bhanu
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-04
Distributed Video Sensor Networks written by Bir Bhanu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-04 with Computers categories.
Large-scale video networks are of increasing importance in a wide range of applications. However, the development of automated techniques for aggregating and interpreting information from multiple video streams in real-life scenarios is a challenging area of research. Collecting the work of leading researchers from a broad range of disciplines, this timely text/reference offers an in-depth survey of the state of the art in distributed camera networks. The book addresses a broad spectrum of critical issues in this highly interdisciplinary field: current challenges and future directions; video processing and video understanding; simulation, graphics, cognition and video networks; wireless video sensor networks, communications and control; embedded cameras and real-time video analysis; applications of distributed video networks; and educational opportunities and curriculum-development. Topics and features: presents an overview of research in areas of motion analysis, invariants, multiple cameras for detection, object tracking and recognition, and activities in video networks; provides real-world applications of distributed video networks, including force protection, wide area activities, port security, and recognition in night-time environments; describes the challenges in graphics and simulation, covering virtual vision, network security, human activities, cognitive architecture, and displays; examines issues of multimedia networks, registration, control of cameras (in simulations and real networks), localization and bounds on tracking; discusses system aspects of video networks, with chapters on providing testbed environments, data collection on activities, new integrated sensors for airborne sensors, face recognition, and building sentient spaces; investigates educational opportunities and curriculum development from the perspective of computer science and electrical engineering. This unique text will be of great interest to researchers and graduate students of computer vision and pattern recognition, computer graphics and simulation, image processing and embedded systems, and communications, networks and controls. The large number of example applications will also appeal to application engineers.
Sensor Network Operations
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Author : Shashi Phoha
language : en
Publisher: John Wiley & Sons
Release Date : 2007-01-29
Sensor Network Operations written by Shashi Phoha and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-29 with Technology & Engineering categories.
This excellent title introduces the concept of mission-oriented sensor networks as distributed dynamic systems of interacting sensing devices that are networked to jointly execute complex real-time missions under uncertainity. It provides the latest, yet unpublished results on the main technical and application challenges of mission-oriented sensor networks. The authors of each chapter are research leaders from multiple disciplines who are presenting their latest innovations on the issues. Together, the editors have compiled a comprehensive treatment of the subject that flows smoothly from chapter to chapter. This interdisciplinary approach significantly enhances the science and technology knowledge base and influences the military and civilian applications of this field. Author Information: Dr. Shashi Phoha is the Guest Editor of IEEE Transactions in Mobile Computing, Special Issue on Mission-Oriented Sensor Networks. She is the Head of the Information Sciences and Technology Division of ARL and Professor of Electrical and Computer Engineering at Pennsylvania State University. She has led major research programs of multimillion dollars for military sensor networks in industry as well as in academia. In addition to more than a hundred journal articles, she authored or co-authored several books in related areas. Dr. Thomas La Porta is the Editor of the IEEE Transactions on Mobile Computing. He received his B.S.E.E. and M.S.E.E. degrees from The Cooper Union, New York, NY and his Ph.D. degree in Electrical Engineering from Columbia University, New York, NY. He joined the Computer Science and Engineering Department at Penn State in 2002 as a Full Professor. He is Director of the Networking Research Center at Penn State. Prior to joining Penn State, Dr. LaPorta was with Bell Laboratories since 1986. He was the Director of the Mobile Networking Research Department Bell Laboratories, Lucent Technologies, where he led various projects in wireless and mobile networking. He is an IEEE Fellow, Bell Labs Fellow, received the Bell Labs Distinguished Technical Staff Award, and an Eta Kappa Nu Outstanding Young Electrical Engineer Award. He has published over 50 technical papers and holds over 20 patents. Christopher Griffin holds a Masters degree in Mathematics from Penn State and is currently pursuing his Ph.D. there. Mr. Griffin has worked as a research engineer at the Penn State Applied Research Laboratory for the last six years on several DARPA and or Army Research Laboratory sponsored programs, including: the Emergent Surveillance Plexus (ESP) program as a lead engineer; the DARPA sponsored Semantic Information Fusion program under the SensIT initiative, where he co-developed a distributed target tracking system and managed the development of a target classification algorithm using Level 1 sensor fusion techniques; as a co-principal software architect for the DARPA Joint Force Component Controller (JFACC) initiative, an adaptive C2 program aimed at improving Air Force response times; and he was the principal software architect for the Boeing/ARFL Insertion of Embedding Infosphere Technology (IEIST) program. His areas of research expertise are distributed tracking systems, mission oriented control, and system modeling.