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Author: Meng Wan
Publisher:
ISBN:
Category : Adaptive computing system
Languages : en
Pages : 94
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Book Description
Author: Meng Wan
Publisher:
ISBN:
Category : Adaptive computing system
Languages : en
Pages : 94
Get Book Here
Book Description
Author: Caifeng Shan
Publisher: Springer Science & Business Media
ISBN: 364228597X
Category : Computers
Languages : en
Pages : 374
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Book Description
Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the shop; and what are the frequent paths), and to measure operational efficiency for improving customer experience. Video analytics has the enormous potential for non-security oriented commercial applications. This book presents the latest developments on video analytics for business intelligence applications. It provides both academic and commercial practitioners an understanding of the state-of-the-art and a resource for potential applications and successful practice.
Author: Pier Luigi Mazzeo
Publisher: BoD – Books on Demand
ISBN: 1789851572
Category : Computers
Languages : en
Pages : 208
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Book Description
Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections. Section I discusses object detection and tracking ideas and algorithms; Section II examines applications based on re-identification challenges; and Section III presents applications based on FR research.
Author: Navneet Ghedia
Publisher: Springer Nature
ISBN: 3030909107
Category : Technology & Engineering
Languages : en
Pages : 91
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Book Description
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.
Author: Martin J. Murphy
Publisher: CRC Press
ISBN: 1439821933
Category : Medical
Languages : en
Pages : 168
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Book Description
External-beam radiotherapy has long been challenged by the simple fact that patients can (and do) move during the delivery of radiation. Recent advances in imaging and beam delivery technologies have made the solution—adapting delivery to natural movement—a practical reality. Adaptive Motion Compensation in Radiotherapy provides the first detailed treatment of online interventional techniques for motion compensation radiotherapy. This authoritative book discusses: Each of the contributing elements of a motion-adaptive system, including target detection and tracking, beam adaptation, and patient realignment Treatment planning issues that arise when the patient and internal target are mobile Integrated motion-adaptive systems in clinical use or at advanced stages of development System control functions essential to any therapy device operating in a near-autonomous manner with limited human interaction Necessary motion-detection methodology, repositioning techniques, and approaches to interpreting and responding to target movement data in real time Medical therapy with external beams of radiation began as a two-dimensional technology in a three-dimensional world. However, in all but a limited number of scenarios, movement introduces the fourth dimension of time to the treatment problem. Motion-adaptive radiation therapy represents a truly four-dimensional solution to an inherently four-dimensional problem. From these chapters, readers will gain not only an understanding of the technical aspects and capabilities of motion adaptation but also practical clinical insights into planning and carrying out various types of motion-adaptive radiotherapy treatment.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 25
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Book Description
In our previous work we have investigated data fusion frameworks for object detection and tracking. In particular, we proposed the use of the spatiogram, as opposed to the more commonly used histogram, for object tracking. The motivation for this stems from the fact that a spatiogram allows coarse encoding of an object's spatial information. In this way it is more robust to changes in object appearance than a histogram that carries no spatial information, whilst not suffering the constraints of template-based matching techniques that encode full object spatial information. In addition, we proposed an improved similarity measure for matching spatiograms from one frame to the next. Furthermore, we embedded this measure in an innovative efficient mean-shift search process. Using this as a basis, we were able to propose a multi-feature tracking framework that we term a spatiogram bank that leverages earlier work on optimal feature fusion. We proved that the spatiogram is particularly suited to this framework as it does not suffer from the curse of dimensionality as new features are added, leading to a very flexible multi-feature tracking framework. We demonstrated the benefits of this framework in a variety of different application scenarios that use visible spectrum and infrared visual data sources. In particular, we showed how this tracking framework can be embedded in a system for detection and tracking of ground-based vehicles in UAV video footage.
Author: Ahmed El Oualkadi
Publisher: Springer
ISBN: 3319303015
Category : Technology & Engineering
Languages : en
Pages : 547
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Book Description
This volume presents the first part of the proceedings of the Mediterranean Conference on Information & Communication Technologies (MedICT 2015), which was held at Saidia, Morocco during 7–9 May, 2015. MedICT provides an excellent international forum to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development. The conference has also a special focus on enabling technologies for societal challenges, and seeks to address multidisciplinary challenges in Information & Communication Technologies such as health, demographic change, wellbeing, security and sustainability issues. The proceedings publish high quality papers which are closely related to the various theories, as well as emerging and practical applications of particular interest to the ICT community. This first volume provides a compact yet broad view of recent developments in devices, technologies and processing, and covers recent research areas in the field including Microwave Devices and Printed Antennas, Advances in Optical and RF Devices and Applications, Signal Processing and Information Theory, Wireless and Optical Technologies and Techniques, Computer Vision, Optimization and Modeling in Wireless Communication Systems, Modeling, Identification and Biomedical Signal Processing, Photovoltaic Cell & Systems, RF Devices and Antennas for Wireless Applications, RFID, Ad Hoc and Networks Issues.
Author:
Publisher: Allied Publishers
ISBN: 9788177645323
Category : Pattern recognition systems
Languages : en
Pages : 528
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Book Description
Author: Phayung Meesad
Publisher: Springer Science & Business Media
ISBN: 3642373712
Category : Technology & Engineering
Languages : en
Pages : 312
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Book Description
This volume contains the papers of the 9th International Conference on Computing and Information Technology (IC2IT 2013) held at King Mongkut's University of Technology North Bangkok (KMUTNB), Bangkok, Thailand, on May 9th-10th, 2013. Traditionally, the conference is organized in conjunction with the National Conference on Computing and Information Technology, one of the leading Thai national events in the area of Computer Science and Engineering. The conference as well as this volume is structured into 3 main tracks on Data Networks/Communication, Data Mining/Machine Learning, and Human Interfaces/Image processing.
Author: Fakhri Karray
Publisher: Springer
ISBN: 3030272028
Category : Computers
Languages : en
Pages : 475
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Book Description
This two-volume set LNCS 11662 and 11663 constitutes the refereed proceedings of the 16th International Conference on Image Analysis and Recognition, ICIAR 2019, held in Waterloo, ON, Canada, in August 2019. The 58 full papers presented together with 24 short and 2 poster papers were carefully reviewed and selected from 142 submissions. The papers are organized in the following topical sections: Image Processing; Image Analysis; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep Learning on the Edge; Recognition; Applications; Medical Imaging and Analysis Using Deep Learning and Machine Intelligence; Image Analysis and Recognition for Automotive Industry; Adaptive Methods for Ultrasound Beamforming and Motion Estimation.
