Overview

This publication addresses distributed embedded smart cameras –cameras that perform on board analysis and collaborate with other cameras. This book provides the material required to better understand the architectural design challenges of embedded smart camera systems, the hardware/software ecosystem, the design approach for and applications of distributed smart cameras together with the state-of-the-art algorithms. The authors concentrate on the architecture, hardware/software design, realization of smart camera networks from applications to architectures, in particular in the embedded and mobile domains.

Full Product Details

Author:   Christophe Bobda ,  Senem Velipasalar
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2014
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   4.394kg
ISBN:  

9781493948185

ISBN 10:   1493948180
Pages:   273
Publication Date:   01 October 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Platforms and Architectures for Distributed Smart Cameras.- A Survey of Systems-on-Chip Solutions for Smart Cameras.- Reconfigurable Architectures for Distributed Smart Cameras.- Design and Verification Environment for High-Performance Video-Based Embedded Systems.- Distributed Mobile Computer Vision: advances, challenges and applications.- Autonomous Tracking of Vehicle Taillights and Alert Signal Detection by Embedded Smart Cameras.- Autonomous Tracking of Vehicle Taillights and Alert Signal Detection by Embedded Smart Cameras.- Tracking by Detection Algorithms Using Multiple Cameras.- Consistent Human Tracking over Self-Organized and Scalable Multiple-Camera Networks.- Soft-biometrics and Reference Set Integrated Model for Tracking Across Cameras.- A parallel approach for statistical texture parameter calculation.

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Author Information

Dr. Bobda is an associate professor at the University of Arkansas. Dr. Velipasalar is an assistant professor at Syracuse University.

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