Distributed Embedded Smart Cameras (eBook, PDF)

Architectures, Design and Applications
Redaktion: Bobda, Christophe; Velipasalar, Senem

• Format: PDF

Produktbeschreibung

This publication addresses distributed embedded smart cameras -cameras that perform onboard 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.

. Examines energy issues related to wireless communication such as decreasing energy consumption to increase battery-life

. Discusses processing large volumes of video data on an embedded environment in real-time

. Covers design of realistic applications of distributed and embedded smart cameras

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 273
• Erscheinungstermin: 4. Juni 2014
• Englisch
• ISBN-13: 9781461477051
• Artikelnr.: 43801043

Autorenporträt

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

Inhaltsangabe

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.