Recent developments in low-cost CMOS cameras have created the opportunity of bringing imaging capabilities to sensor networks. Various visual sensor platforms have been developed with the aim of integrating visual data to wireless sensor applications. The objective of this article is to survey current visual sensor platforms according to in-network processing and compression/coding techniques together with their targeted applications. Characteristics of these platforms such as level of integration, data processing hardware, energy dissipation, radios and operating systems are also explored and discussed.
%0 Journal Article
%1 TavliBicakciEtAl12mtaa
%A Tavli, Bulent
%A Bicakci, Kemal
%A Zilan, Ruken
%A Barcelo-Ordinas, Jose
%D 2012
%J Multimedia Tools and Applications
%K v1205 springer paper ai image video sensor device processing recognition middleware
%N 3
%P 689-726
%R 10.1007/s11042-011-0840-z
%T A Survey of Visual Sensor Network Platforms
%V 60
%X Recent developments in low-cost CMOS cameras have created the opportunity of bringing imaging capabilities to sensor networks. Various visual sensor platforms have been developed with the aim of integrating visual data to wireless sensor applications. The objective of this article is to survey current visual sensor platforms according to in-network processing and compression/coding techniques together with their targeted applications. Characteristics of these platforms such as level of integration, data processing hardware, energy dissipation, radios and operating systems are also explored and discussed.
@article{TavliBicakciEtAl12mtaa,
abstract = {Recent developments in low-cost CMOS cameras have created the opportunity of bringing imaging capabilities to sensor networks. Various visual sensor platforms have been developed with the aim of integrating visual data to wireless sensor applications. The objective of this article is to survey current visual sensor platforms according to in-network processing and compression/coding techniques together with their targeted applications. Characteristics of these platforms such as level of integration, data processing hardware, energy dissipation, radios and operating systems are also explored and discussed.},
added-at = {2012-07-13T12:32:05.000+0200},
author = {Tavli, Bulent and Bicakci, Kemal and Zilan, Ruken and Barcelo-Ordinas, Jose},
biburl = {https://www.bibsonomy.org/bibtex/20ceeac50668e961e43dbbb03643ef517/flint63},
doi = {10.1007/s11042-011-0840-z},
file = {SpringerLink:2012/TavliBicakciEtAl12mtaa.pdf:PDF},
groups = {public},
interhash = {d3e82abadf9e0ecf0937fee076b140f3},
intrahash = {0ceeac50668e961e43dbbb03643ef517},
issn = {1380-7501},
issue = {3},
journal = {Multimedia Tools and Applications},
keywords = {v1205 springer paper ai image video sensor device processing recognition middleware},
month = {#oct#},
number = 3,
pages = {689-726},
timestamp = {2018-04-16T11:54:05.000+0200},
title = {A Survey of Visual Sensor Network Platforms},
username = {flint63},
volume = 60,
year = 2012
}