Embedded Computer Vision Series: Advances in Pattern Recognition Branislav Kisačanin, Shuvra Bhattacharyya, Sek Chai (Eds.)

About this book

Excerpt from Springer.com

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 centres, and covers a broad range of challenges and trade-offs brought about by this paradigm shift. Part I, the introductory chapters, 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 readers understanding through the following chapters
• Offers emphasis on tackling important problems for society
• Discusses evaluation of trade-offs required to design cost-effective systems for successful products
• Provides a stand-alone exposition of a particular topic in each chapter
• Explores the advantages of various architectures, development of high-level software frameworks and cost-effective algorithmic alternatives
• Examines issues of implementation on a fixed-point processor, 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 references, 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 embeddedvisioncentral.com.

Written for: Researchers, practitioners, graduate students

Keywords:

• Automotive Safety
• Computer Vision
• Driver Assistance
• Embedded Computer Vision
• Embedded Systems
• Pattern Recognition
• Video Analytics
• Video Surveillance

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Embedded Computer Vision by Branislav Kisačanin, Shuvra S. Bhattacharyya, Sek Chai