Low-power smart imagers for vision-enabled sensor networks

El pdf del libro es la versión post-print.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 analysis of resistive diffusion networks embedded within an image sensor array. This analysis supports a systematic approach to the design of spatial image filters and their implementation as vision chips in CMOS technology. The book also addresses system-level considerations pertaining to the embedding of these vision chips into vision-enabled wireless sensor networks. Describes a system-level approach for designing of vision devices and embedding them into vision-enabled, wireless sensor networks; Surveys state-of-the-art, vision-enabled WSN nodes; Includes details of specifications and challenges of vision-enabled WSNs; Explains architectures for low-energy CMOS vision chips with embedded, programmable spatial filtering capabilities; Includes considerations pertaining to the integration of vision chips into off-the-shelf WSN platforms.The authors would like to express their acknowledgment to the Andalusian Regional Goverment, that partially funded the work through project 2006-TIC-2352; to the Spanish Ministry of Science and Innovation, that contributed through projects TEC 2009-11812 and IPT-2011-1625-430000, both co-funded by the European Regional Development Fund; and to the Office of Naval Research (USA), that partially supported the work through grant N000141110312.Peer reviewe