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Other titles in the Advances in Pattern Recognition series:

Embedded Computer Vision (Advances in Pattern Recognition)

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Embedded Computer Vision (Advances in Pattern Recognition) Cover

 

Synopses & Reviews

Publisher Comments:

Embedded Computer Vision, exemplified by the migration from powerful workstations to embedded processors in computer vision applications, is a new and emerging field that enables an associated shift in application development and implementation. This comprehensive volume brings together a wealth of experiences from leading researchers in the field of embedded computer vision, from both academic and industrial research centers, and covers a broad range of challenges and trade-offs brought about by this paradigm shift. Part I provides an exposition of basic issues and applications in the area necessary for understanding the present and future work. Part II offers chapters based on the most recent research and results. Finally, the last part looks ahead, providing a sense of what major applications could be expected in the near future, describing challenges in mobile environments, video analytics, and automotive safety applications. Features: • Discusses the latest state-of-the-art techniques in embedded computer vision • Presents a thorough introductory section on hardware and architectures, design methodologies, and video analytics to aid the reader's understanding through the following chapters • Offers emphasis on tackling important problems for society, safety, security, health, mobility, connectivity, and energy efficiency • Discusses evaluation of trade-offs required to design cost-effective systems for successful products • Explores the advantages of various architectures, development of high-level software frameworks and cost-effective algorithmic alternatives • Examines issues of implementation on fixed-point processors, presented through an example of an automotive safety application • Offers insights from leaders in the field on what future applications will be This book is a welcome collection of stand-alone articles, ideal for researchers, practitioners, and graduate students. It provides historical perspective, the latest research results, and a vision for future developments in the emerging field of embedded computer vision. Supplementary material can be found at http://www.embeddedvisioncentral.com.

Synopsis:

This book brings together a wealth of experiences from leading researchers in the field of Embedded Computer vision, from both academic and industrial research labs. Lately there is a major shift in the way computer vision applications are implemented and even developed. This book covers a broad range of challenges and trade offs brought by this paradigm shift. Part I, the introductory chapters, discusses pioneers in the field, providing an exposition of early work in the area necessary for understanding the present and future work. Part II, offers chapters, based on the most recent research and includes results from industry and academia. Finally the last part looks ahead, providing a sense of what major applications could be expected in the near future. This book is a welcome collection of references, ideal for researchers, practitioners and graduate students. It provides historical perspective, the latest research results and a vision for future developments in this new field of embedded computer vision.

Table of Contents

Part I: Introduction.- Hardware Considerations for Embedded Vision Systems.- Design Methodology for Embedded Computer Vision Systems.- We Can Watch It For You Wholesale.- Part II: Advances in Embedded Computer Vision.- Using Robust Local Features on DSP-based Embedded Systems.- Benchmarks of Low-level Vision algorithms for DSP, FPGA and Mobile PC Processors.- SAD-based Stereo matching Using FPGAs.- Motion History Histograms for Human Action Recognition.- Embedded Real-time Surveillance Using Multimodal Mean Background Modeling.- Implementation Considerations for Automotive Vision Systems on a Fixed-point DSP.- Towards OpenVL: Improving Real-time Performance of Computer Vision Applications.- Part III: Looking Ahead.- Mobile Challenges for Embedded Computer Vision.- Challenges in Video Analytics.- Challenges of Embedded Computer vision in Automotive Safety Systems.

Product Details

ISBN:
9781849967761
Author:
Kisacanin, Branislav
Publisher:
Springer
Author:
Chai, Sek
Author:
Bhattacharyya, Shuvra S.
Location:
London
Subject:
Graphics-Image Processing
Subject:
Computer Graphics - General
Subject:
Automotive safety
Subject:
Computer Vision
Subject:
Driver Assistance
Subject:
Embedded Computer Vision
Subject:
Embedded Systems
Subject:
Pattern recognition.
Subject:
Video Analytics
Subject:
Video surveillance
Subject:
Image Processing and Computer Vision
Subject:
Computer Imaging, Vision, Pattern Recognition and Graphics
Subject:
Computer Science
Subject:
Language, literature and biography
Subject:
Optical pattern recognition
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 2009
Series:
Advances in Computer Vision and Pattern Recognition
Publication Date:
20101231
Binding:
TRADE PAPER
Language:
English
Pages:
312
Dimensions:
235 x 155 mm 471 gr

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Graphics » General
Computers and Internet » Graphics » Image Processing
Science and Mathematics » Electricity » General Electronics

Embedded Computer Vision (Advances in Pattern Recognition) New Trade Paper
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$140.25 In Stock
Product details 312 pages Springer - English 9781849967761 Reviews:
"Synopsis" by , This book brings together a wealth of experiences from leading researchers in the field of Embedded Computer vision, from both academic and industrial research labs. Lately there is a major shift in the way computer vision applications are implemented and even developed. This book covers a broad range of challenges and trade offs brought by this paradigm shift. Part I, the introductory chapters, discusses pioneers in the field, providing an exposition of early work in the area necessary for understanding the present and future work. Part II, offers chapters, based on the most recent research and includes results from industry and academia. Finally the last part looks ahead, providing a sense of what major applications could be expected in the near future. This book is a welcome collection of references, ideal for researchers, practitioners and graduate students. It provides historical perspective, the latest research results and a vision for future developments in this new field of embedded computer vision.
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