DocumentCode :
2097542
Title :
Data Consistence for Distributed Vision-based Traffic Surveillance Systems
Author :
Yao, Xiaoming ; Du, Wencai ; Li, Taijun ; Wang, Longjuan ; Li, Honglei ; Wu, Hanwei ; Wang, Zequn
Author_Institution :
Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China
fYear :
2011
fDate :
17-18 Sept. 2011
Firstpage :
78
Lastpage :
81
Abstract :
How to stipulate data consistence is very important when developing software packages for integrating or modifying the existing distributed vision-based traffic surveillance systems into a larger one. We extend our previous holonic architecture to verify formally the data consistence of the novel system via an intermediate modular using a STF-based set theoretical approach under the assumption that all existing subsystems are data consistent.
Keywords :
computer vision; data handling; distributed processing; road vehicles; software packages; traffic engineering computing; video surveillance; data consistence; distributed vision based traffic surveillance systems; software packages; Collaboration; Computer architecture; Feature extraction; Licenses; Surveillance; Traffic control; Vehicles; Data consistence; Holons; Software engineering; distributed Vision-based traffic surveillance systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Computing & Information Services (ICICIS), 2011 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-1561-7
Type :
conf
DOI :
10.1109/ICICIS.2011.26
Filename :
6063197
Link To Document :
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