Towards a Visual Sensor Network Built from Smartphones

Author

Csorba, Kristof ; Szaloki, David ; Koszo, Norbert

Author_Institution

Dept. of Autom. & Appl. Inf., Budapest Univ. of Technol. & Econ., Budapest, Hungary

fYear

2013

fDate

29-30 Aug. 2013

Firstpage

63

Lastpage

70

Abstract

With the developments of the last years, smart phones became suitable to be used as smart cameras in a visual sensor network. They have the necessary cameras with an acceptable quality of lenses and CCD, the required processing power, and WiFi or Bluetooth interfaces for communication. This paper describes the architecture of the SMEyeL (Smart Mobile Eyes for Localization) system. It is designed to utilize both smart phones and PC-s as processing nodes of a visual sensor network. It aims to achieve high spatial and temporal resolution, energy consumption optimization via computation off-loading and distributed processing. The SMEyeL project is open source: source code and measurement data sets are available on the web. We present the detailed description of the architecture and experimental results related to timing accuracy and localization precision.

Keywords

computer vision; distributed processing; image sensors; mobile computing; smart phones; Bluetooth interfaces; CCD; SMEyeL system; Wi-Fi; Wireless Fidelity; charge-coupled device; computation off-loading; distributed processing; energy consumption optimization; lenses; localization precision; processing power; smart cameras; smart mobile eyes for localization system; smart phones; spatial resolution; temporal resolution; timing accuracy; visual sensor network; Cameras; Computer architecture; Peer-to-peer computing; Program processors; Smart phones; Subscriptions; Tracking; computer vision; distributed processing; motion tracking; smartphone; visual sensor network;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering of Computer Based Systems (ECBS-EERC), 2013 3rd Eastern European Regional Conference on the

Conference_Location

Budapest

Type

conf

DOI

10.1109/ECBS-EERC.2013.17

Filename

6664511