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Traditional wireless sensor networks (WSNs) capture scalar data
such as temperature, vibration, pressure, or humidity. Motivated by
the success of WSNs and also with the emergence of new technology
in the form of low-cost image sensors, researchers have proposed
combining image and audio sensors with WSNs to form wireless
multimedia sensor networks (WMSNs). This introduces practical and
research challenges, because multimedia sensors, particularly image
sensors, generate huge amounts of data to be processed and
distributed within the network, while sensor nodes have restricted
battery power and hardware resources. This book describes how
reconfigurable hardware technologies such as field-programmable
gate arrays (FPGAs) offer cost-effective, flexible platforms for
implementing WMSNs, with a main focus on developing efficient
algorithms and architectures for information reduction, including
event detection, event compression, and multicamera processing for
hardware implementations. The authors include a comprehensive
review of wireless multimedia sensor networks, a complete
specification of a very low-complexity, low-memory FPGA WMSN node
processor, and several case studies that illustrate information
reduction algorithms for visual event compression, detection, and
fusion. The book will be of interest to academic researchers,
R&D engineers, and computer science and engineering graduate
students engaged with signal and video processing, computer vision,
embedded systems, and sensor networks.
Traditional wireless sensor networks (WSNs) capture scalar data
such as temperature, vibration, pressure, or humidity. Motivated by
the success of WSNs and also with the emergence of new technology
in the form of low-cost image sensors, researchers have proposed
combining image and audio sensors with WSNs to form wireless
multimedia sensor networks (WMSNs). This introduces practical and
research challenges, because multimedia sensors, particularly image
sensors, generate huge amounts of data to be processed and
distributed within the network, while sensor nodes have restricted
battery power and hardware resources. This book describes how
reconfigurable hardware technologies such as field-programmable
gate arrays (FPGAs) offer cost-effective, flexible platforms for
implementing WMSNs, with a main focus on developing efficient
algorithms and architectures for information reduction, including
event detection, event compression, and multicamera processing for
hardware implementations. The authors include a comprehensive
review of wireless multimedia sensor networks, a complete
specification of a very low-complexity, low-memory FPGA WMSN node
processor, and several case studies that illustrate information
reduction algorithms for visual event compression, detection, and
fusion. The book will be of interest to academic researchers,
R&D engineers, and computer science and engineering graduate
students engaged with signal and video processing, computer vision,
embedded systems, and sensor networks.
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