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.
Table of Content
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.
About the author
Dr. Bobda is an associate professor at the University of Arkansas. Dr. Velipasalar is an assistant professor at Syracuse University.
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