Multi-Camera Networks

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Multi-Camera Networks

Multi-Camera Networks
  • Author : Hamid Aghajan,Andrea Cavallaro
  • Publisher :
  • Release Date :2009-04-25
  • Total pages :624
  • ISBN : 9780080878003
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Summary : The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applications Presents in detail the latest developments in multi-camera calibration, active and heterogeneous camera networks, multi-camera object and event detection, tracking, coding, smart camera architecture and middleware This book is the definitive reference in multi-camera networks. It gives clear guidance on the conceptual and implementation issues involved in the design and operation of multi-camera networks, as well as presenting the state-of-the-art in hardware, algorithms and system development. The book is broad in scope, covering smart camera architectures, embedded processing, sensor fusion and middleware, calibration and topology, network-based detection and tracking, and applications in distributed and collaborative methods in camera networks. This book will be an ideal reference for university researchers, R&D engineers, computer engineers, and graduate students working in signal and video processing, computer vision, and sensor networks. Hamid Aghajan is a Professor of Electrical Engineering (consulting) at Stanford University. His research is on multi-camera networks for smart environments with application to smart homes, assisted living and well being, meeting rooms, and avatar-based communication and social interactions. He is Editor-in-Chief of Journal of Ambient Intelligence and Smart Environments, and was general chair of ACM/IEEE ICDSC 2008. Andrea Cavallaro is Reader (Associate Professor) at Queen Mary, University of London (QMUL). His research is on target tracking and audiovisual content analysis for advanced surveillance and multi-sensor systems. He serves as Associate Editor of the IEEE Signal Processing Magazine and the IEEE Trans. on Multimedia, and has been general chair of IEEE AVSS 2007, ACM/IEEE ICDSC 2009 and BMVC 2009. The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applications Presents in detail the latest developments in multi-camera calibration, active and heterogeneous camera networks, multi-camera object and event detection, tracking, coding, smart camera architecture and middleware

Multi-camera Networks: Principles and Applications

Multi-camera Networks: Principles and Applications
  • Author : Druin
  • Publisher :
  • Release Date :2009
  • Total pages :624
  • ISBN :
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Summary : This book is the definitive reference in multi-camera networks. It gives clear guidance on the conceptual and implementation issues involved in the design and operation of multi-camera networks, as well as presenting the state-of-the-art in hardware, algo.

Camera Networks

Camera Networks
  • Author : Amit K. Roy-Chowdhury,Bi Song
  • Publisher :
  • Release Date :2012
  • Total pages :119
  • ISBN : 1608456749
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Summary : As networks of video cameras are installed in many applications like security and surveillance, environmental monitoring, disaster response, and assisted living facilities, among others, image understanding in camera networks is becoming an important area of research and technology development. There are many challenges that need to be addressed in the process. Some of them are listed below: - Traditional computer vision challenges in tracking and recognition, robustness to pose, illumination, occlusion, clutter, recognition of objects, and activities; - Aggregating local information for wide area scene understanding, like obtaining stable, long-term tracks of objects; - Positioning of the cameras and dynamic control of pan-tilt-zoom (PTZ) cameras for optimal sensing; - Distributed processing and scene analysis algorithms; - Resource constraints imposed by different applications like security and surveillance, environmental monitoring, disaster response, assisted living facilities, etc. In this book, we focus on the basic research problems in camera networks, review the current state-of-the-art and present a detailed description of some of the recently developed methodologies. The major underlying theme in all the work presented is to take a network-centric view whereby the overall decisions are made at the network level. This is sometimes achieved by accumulating all the data at a central server, while at other times by exchanging decisions made by individual cameras based on their locally sensed data. Chapter One starts with an overview of the problems in camera networks and the major research directions. Some of the currently available experimental testbeds are also discussed here. One of the fundamental tasks in the analysis of dynamic scenes is to track objects. Since camera networks cover a large area, the systems need to be able to track over such wide areas where there could be both overlapping and non-overlapping fields of view of the cameras, as addressed in Chapter Two: Distributed processing is another challenge in camera networks and recent methods have shown how to do tracking, pose estimation and calibration in a distributed environment. Consensus algorithms that enable these tasks are described in Chapter Three. Chapter Four summarizes a few approaches on object and activity recognition in both distributed and centralized camera network environments. All these methods have focused primarily on the analysis side given that images are being obtained by the cameras. Efficient utilization of such networks often calls for active sensing, whereby the acquisition and analysis phases are closely linked. We discuss this issue in detail in Chapter Five and show how collaborative and opportunistic sensing in a camera network can be achieved. Finally, Chapter Six concludes the book by highlighting the major directions for future research. Table of Contents: An Introduction to Camera Networks / Wide-Area Tracking / Distributed Processing in Camera Networks / Object and Activity Recognition / Active Sensing / Future Research Directions

Matching with Local Invariant Features and Its Application in Multi-camera Networks

Matching with Local Invariant Features and Its Application in Multi-camera Networks
  • Author : Haeyong Chung
  • Publisher :
  • Release Date :2005
  • Total pages :69
  • ISBN :
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Summary :

Distributed Video Sensor Networks

Distributed Video Sensor Networks
  • Author : Bir Bhanu,Chinya V. Ravishankar,Amit K. Roy-Chowdhury,Hamid Aghajan,Demetri Terzopoulos
  • Publisher :
  • Release Date :2011-01-04
  • Total pages :485
  • ISBN : 9780857291271
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Summary : 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.

Active Learning in Multi-camera Networks, with Applications in Person Re-identification

Active Learning in Multi-camera Networks, with Applications in Person Re-identification
  • Author : Abir Das
  • Publisher :
  • Release Date :2015
  • Total pages :117
  • ISBN : 9781339466132
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Summary : With the proliferation of cheap visual sensors, camera networks are everywhere. The ubiquitous presence of cameras opens the door for cutting edge research in processing and analysis of the huge video data generated by such large-scale camera networks. Re-identification of persons coming in and out of the cameras is an important task. This has remained a challenge to the community for a variety of reasons such as change of scale, illumination, resolution etc. between cameras. All these leads to transformation of features between cameras which makes re-identification a challenging task. The first question that is addressed in this work is - Can we model the way features get transformed between cameras and use it to our advantage to re-identify persons between cameras with non-overlapping views? The similarity between the feature histograms and time series data motivated us to apply the principle of Dynamic Time Warping to study the transformation of features by warping the feature space. After capturing the feature warps, describing the transformation of features the variabilities of the warp functions were modeled as a function space of these feature warps. The function space not only allowed us to model feasible transformation between pairs of instances of the same target, but also to separate them from the infeasible transformations between instances of different targets. A supervised training phase is employed to learn a discriminating surface between these two classes in the function space.

Intelligent Robotics and Applications

Intelligent Robotics and Applications
  • Author : Honghai Liu,Han Ding,Zhenhua Xiong,Xiangyang Zhu
  • Publisher :
  • Release Date :2010-11-18
  • Total pages :779
  • ISBN : 3642165842
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Summary : The market demand for skills, knowledge and adaptability have positioned robotics to be an important field in both engineering and science. One of the most highly visible applications of robotics has been the robotic automation of many industrial tasks in factories. In the future, a new era will come in which we will see a greater success for robotics in non-industrial environments. In order to anticipate a wider deployment of intelligent and autonomous robots for tasks such as manufacturing, healthcare, ent- tainment, search and rescue, surveillance, exploration, and security missions, it is essential to push the frontier of robotics into a new dimension, one in which motion and intelligence play equally important roles. The 2010 International Conference on Intelligent Robotics and Applications (ICIRA 2010) was held in Shanghai, China, November 10–12, 2010. The theme of the c- ference was “Robotics Harmonizing Life,” a theme that reflects the ever-growing interest in research, development and applications in the dynamic and exciting areas of intelligent robotics. These volumes of Springer’s Lecture Notes in Artificial Intel- gence and Lecture Notes in Computer Science contain 140 high-quality papers, which were selected at least for the papers in general sessions, with a 62% acceptance rate Traditionally, ICIRA 2010 holds a series of plenary talks, and we were fortunate to have two such keynote speakers who shared their expertise with us in diverse topic areas spanning the rang of intelligent robotics and application activities.

Self-aware Computing Systems

Self-aware Computing Systems
  • Author : Peter R. Lewis,Marco Platzner,Bernhard Rinner,Jim Tørresen,Xin Yao
  • Publisher :
  • Release Date :2016-07-28
  • Total pages :324
  • ISBN : 3319396757
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Summary : Taking inspiration from self-awareness in humans, this book introduces the new notion of computational self-awareness as a fundamental concept for designing and operating computing systems. The basic ability of such self-aware computing systems is to collect information about their state and progress, learning and maintaining models containing knowledge that enables them to reason about their behaviour. Self-aware computing systems will have the ability to utilise this knowledge to effectively and autonomously adapt and explain their behaviour, in changing conditions. This book addresses these fundamental concepts from an engineering perspective, aiming at developing primitives for building systems and applications. It will be of value to researchers, professionals and graduate students in computer science and engineering.

Mastering Multi-Camera Techniques

Mastering Multi-Camera Techniques
  • Author : Mitch Jacobson
  • Publisher :
  • Release Date :2012-09-10
  • Total pages :240
  • ISBN : 1136057897
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Summary : From a basic two-camera interview to an elaborate 26 camera HD concert film, this comprehensive guide presents a platform-agnostic approach to the essential techniques required to set up and edit a multi-camera project. Actual case studies are used to examine specific usages of multi-camera editing and include a variety of genres including concerts, talk shows, reality programming, sit-coms, documentaries for television, event videography and feature films. Other features include: * Advanced multi-camera techniques and specialty work-flows are examined for tapeless & large scale productions with examples from network TV shows, corporate media projects, event videography, and feature films. * New techniques for 3D projects, 2k/4k media management and color correction are revealed. * Technical breakdowns analyze system requirements for monitoring, hard drives & RAIDs, RAM, codecs and computer platforms. * Apple Final Cut Pro, Avid Media Composer, Adobe Premiere Pro and several other software programs are detailed. * Tables, charts, screen-grabs, photos, web-links, blogs, tech school lists and other resource tools for further study. * Unique interviews with the 'Masters of Multi-Cam' including EMMY and academy award-winning directors and editors who share their project notes and give insight to award-winning techniques.

Multimedia Communications, Services and Security

Multimedia Communications, Services and Security
  • Author : Andrzej Dziech,Andrzej Czyzewski
  • Publisher :
  • Release Date :2011-05-30
  • Total pages :354
  • ISBN : 3642215122
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Summary : This book constitutes the refereed proceedings of the 4th International Conference on Multimedia Communications, Services and Security, MCSS 2011, held in Krakow, Poland, in June 2011. The 42 revised full papers presented were carefully reviewed and selected from numerous submissions. Topics addresses are such as audio-visual systems, service oriented architectures, multimedia in networks, multimedia content, quality management, multimedia services, watermarking, network measurement and performance evaluation, reliability, availability, serviceability of multimedia services, searching, multimedia surveillance and compound security, semantics of multimedia data and metadata information systems, authentication of multimedia content, interactive multimedia applications, observation systems, cybercrime-threats and counteracting, law aspects, cryptography and data protection, quantum cryptography, object tracking, video processing through cloud computing, multi-core parallel processing of audio and video, intelligent searching of multimedia content, biometric applications, and transcoding of video.

Wireless Multimedia Sensor Networks on Reconfigurable Hardware

Wireless Multimedia Sensor Networks on Reconfigurable Hardware
  • Author : Li-minn Ang,Kah Phooi Seng,Li Wern Chew,Lee Seng Yeong,Wai Chong Chia
  • Publisher :
  • Release Date :2013-11-19
  • Total pages :283
  • ISBN : 3642382037
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Summary : Traditional wireless sensor networks (WSNs) capture scalar data such as temperature, vibration, pressure, or humidity. Motivated by the success of WSNs and also with the emergence of new technology in the form of low-cost image sensors, researchers have proposed combining image and audio sensors with WSNs to form wireless multimedia sensor networks (WMSNs). This introduces practical and research challenges, because multimedia sensors, particularly image sensors, generate huge amounts of data to be processed and distributed within the network, while sensor nodes have restricted battery power and hardware resources. This book describes how reconfigurable hardware technologies such as field-programmable gate arrays (FPGAs) offer cost-effective, flexible platforms for implementing WMSNs, with a main focus on developing efficient algorithms and architectures for information reduction, including event detection, event compression, and multicamera processing for hardware implementations. The authors include a comprehensive review of wireless multimedia sensor networks, a complete specification of a very low-complexity, low-memory FPGA WMSN node processor, and several case studies that illustrate information reduction algorithms for visual event compression, detection, and fusion. The book will be of interest to academic researchers, R&D engineers, and computer science and engineering graduate students engaged with signal and video processing, computer vision, embedded systems, and sensor networks.

Automated Multi-Camera Surveillance

Automated Multi-Camera Surveillance
  • Author : Omar Javed,Mubarak Shah
  • Publisher :
  • Release Date :2008-12-16
  • Total pages :110
  • ISBN : 9780387788814
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Summary : The recent development of intelligent surveillance systems has captured the interest of both academic research labs and industry. Automated Multi-Camera Surveillance addresses monitoring of people and vehicles, and detection of threatening objects and events in a variety of scenarios. In this book, techniques for development of an automated multi-camera surveillance system are discussed and proposed. The state-of-the-art in the automated surveillance systems is reviewed as well. Detailed explanation of sub-components of surveillance systems are provided, and enhancements to each of these components are proposed. The authors identify important challenges that such a system must address, and propose solutions. Development of a specific surveillance system called “KNIGHT” is described, along with the authors’ experience using it. This book enables the reader to understand the mathematical models and algorithms underlying automated surveillance as well as the benefits and limitations of using such methods.

Handbook of Ambient Intelligence and Smart Environments

Handbook of Ambient Intelligence and Smart Environments
  • Author : Hideyuki Nakashima,Hamid Aghajan,Juan Carlos Augusto
  • Publisher :
  • Release Date :2009-10-01
  • Total pages :1294
  • ISBN : 0387938087
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Summary : Our homes anticipate when we want to wake up. Our computers predict what music we want to buy. Our cars adapt to the way we drive. In today’s world, even washing machines, rice cookers and toys have the capability of autonomous decision-making. As we grow accustomed to computing power embedded in our surroundings, it becomes clear that these ‘smart environments’, with a number of devices controlled by a coordinating system capable of ‘ambient intelligence’, will play an ever larger role in our lives. This handbook provides readers with comprehensive, up-to-date coverage in what is a key technological field. . Systematically dealing with each aspect of ambient intelligence and smart environments, the text covers everything, from visual information capture and human/computer interaction to multi-agent systems, network use of sensor data, and building more rationality into artificial systems. The book also details a wide range of applications, examines case studies of recent major projects from around the world, and analyzes both the likely impact of the technology on our lives, and its ethical implications. With a wide variety of separate disciplines all conducting research relevant to this field, this handbook encourages collaboration between disparate researchers by setting out the fundamental concepts from each area that are relevant to ambient intelligence and smart environments, providing a fertile soil in which ground-breaking new work candevelop.

Signal Processing Techniques for Knowledge Extraction and Information Fusion

Signal Processing Techniques for Knowledge Extraction and Information Fusion
  • Author : Danilo Mandic,Martin Golz,Anthony Kuh,Dragan Obradovic,Toshihisa Tanaka
  • Publisher :
  • Release Date :2008-03-23
  • Total pages :320
  • ISBN : 9780387743677
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Summary : This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion. The book includes contributions presenting both novel algorithms and existing applications, emphasizing on-line processing of real-world data. Readers discover applications that solve biomedical, industrial, and environmental problems.

Advanced Concepts for Intelligent Vision Systems

Advanced Concepts for Intelligent Vision Systems
  • Author : Jacques Blanc-Talon,Patrice Delmas,Wilfried Philips,Dan Popescu,Paul Scheunders
  • Publisher :
  • Release Date :2020-02-05
  • Total pages :568
  • ISBN : 3030406059
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Summary : This book constitutes the proceedings of the 20th INternational Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2020, held in Auckland, New Zealand, in February 2020. The 48 papers presented in this volume were carefully reviewed and selected from a total of 78 submissions. They were organized in topical sections named: deep learning; biomedical image analysis; biometrics and identification; image analysis; image restauration, compression and watermarking; tracking, and mapping and scene analysis.

Novel Traffic Sensing Using Multi-camera Car Tracking and Re-identification (MCCTRI)

Novel Traffic Sensing Using Multi-camera Car Tracking and Re-identification (MCCTRI)
  • Author : Hao Frank Yang
  • Publisher :
  • Release Date :2020
  • Total pages :105
  • ISBN :
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Summary : Traffic sensing devices are the eyes of the Intelligent Transportation Systems (ITS) nowadays. Among all the traffic sensors, the surveillance camera system is one of the most widely deployed system due to the easy installation, valuable data, and the intuitive information format. However, it's a great pity that these cameras collect data isolated. One camera can only monitor a fixed of view and there is no bridge to share the monitoring information with each other. Tremendous labor work is necessary if the traffic managers try to find the same target in different cameras. Recently, the development of computer vision technology brings light to traffic information extraction based on the multi-camera scenario. Different from the previous single-camera based traffic information estimation, the multi-camera work is much more challenging. Since in the real-world scenarios, different camera views, orientations and lighting conditions make the video features in a huge difference. Moreover, the more rigorous thing is that only the top-one candidate can be used in the traffic information estimation procedure. Thus, how to link each single camera into a multi-camera system and estimate the traffic information from the whole surveillance system becomes the main problem in the research. To address the challenges, four kinds of information are designed to capture and integrate, including vision information, vehicle attributes information, road network graph information and spatial-temporal information. These four kinds of information are summarized and decomposed into four levels of features, including frame-level, clip-level, identity-level and network-level of features. A cutting-edge multi-camera car tracking and Re-ID framework based on temporal-attention model and deep neural networks is improved to capture the frame-level, clip-level and identity-level of features. A Spatial-temporal Camera Graph Inference Model (StCGIM) are designed to integrate the network level of features into the MCCTRI framework. After obtained the multi-camera tracking result, the tracking accuracy levels of different cameras are various from each other. An Adaptative Accuracy Model (AAM) is designed to eliminate and unify errors and prepare the input for the traffic information estimation algorithms. Furthermore, different levels of traffic-related information can be estimated properly. The author evaluated the framework based on five cameras video data on captured on the Interstate 5, including different views, orientations, lighting conditions and color settings in various challenging scenarios. Based on MCCTRI, not only including the traffic information value, such as link average speed, average travel time and volume, but also a more particular data format 0́3 the distribution of each parameter can be estimated precisely. All the value information estimation error is less than 8% through the dataset evaluation including five camera views. The KL distance of the estimated distribution and real distribution is less than 3.42. Based on the experiment, the MCCTRI gives the surveillance camera system a brain and more precise and valuable information can be extracted through the method.

Intelligent Distributed Video Surveillance Systems

Intelligent Distributed Video Surveillance Systems
  • Author : Institution of Electrical Engineers
  • Publisher :
  • Release Date :2006
  • Total pages :282
  • ISBN : 0863415040
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Summary : There is growing interest in the development and deployment of intelligent surveillance systems in public and private locations. This book details recent developments in machine vision algorithms capable of handling complex visual data acquired by camera systems. It also explores advances in distributed computing and distributed intelligence systems, capable of handling numerous devices and adapting to the evolution of the complex communication networks, thereby inferring a better interpretation of the dynamics of people and objects.

Counting and Localizing Targets with a Camera Network

Counting and Localizing Targets with a Camera Network
  • Author : Danny Bon-Ray Yang
  • Publisher :
  • Release Date :2005
  • Total pages :194
  • ISBN :
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Human Body Model Acquisition and Tracking Using Multi-camera Voxel Data

Human Body Model Acquisition and Tracking Using Multi-camera Voxel Data
  • Author : Ivana Mikić
  • Publisher :
  • Release Date :2002
  • Total pages :306
  • ISBN :
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Dynamic Scenes and Camera Networks

Dynamic Scenes and Camera Networks
  • Author : Marci Lenore Meingast
  • Publisher :
  • Release Date :2008
  • Total pages :354
  • ISBN :
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Summary :