Low-Power Smart Imagers for Vision-Enabled Sensor Networks
This book presents a comprehensive, systematic approach to the development of vision system architectures that employ sensory-processing concurrency and parallel processing to meet the autonomy challenges posed by a variety of safety and surveillance applications. Coverage includes a thorough analy...
| Main Authors: | , , |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2012.
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction
- Vision-enabled WSN Nodes: State of the Art
- Processing Primitives for Image Simplification
- VLSI Implementation of Linear Diffusion
- FLIP-Q: A QCIF Resolution Focal-plane Array for Low-power Image Processing
- Wi-FLIP: A Low-power Vision-enabled WSN Node
- Case Study: Early Detection of Forest Fires.