DocumentCode :
2338796
Title :
Research of wetland birds networking and method of collaborative epidemic identify
Author :
Lin, Hongji ; Lin, Han ; Guo, Hong
Author_Institution :
Wu Yi Univ., Jiangmen, China
fYear :
2012
fDate :
3-5 June 2012
Firstpage :
717
Lastpage :
720
Abstract :
The paper proposes a web-based man-machine cooperative method of identified wetland birds and birds epidemic. Then analysis and research the credible certification of networking. This system uses the WiFi Pan/Tilt IP camera to collect remote data in network. After the server´s automatic identification, classification and treatment, through the mobile video technology to Web data in the form of reports, and streaming media services to provide online confirmed identification to complete certification for the disease to achieve a credible mobile identification purposes. Academic value of this paper is: System using the modern mobile network technology to solve the birds and disease recognition in accuracy, efficiency and reliability issues.
Keywords :
IP networks; Internet; biology computing; cameras; diseases; epidemics; image recognition; media streaming; mobile computing; network servers; reliability; wireless LAN; zoology; Web-based man-machine cooperative method; WiFi pan/tilt IP camera; automatic identification; birds epidemic; collaborative epidemic identify; disease; image recognition; mobile identification purpose; mobile network technology; mobile video technology; networking certification; reliability issue; server; streaming media service; wetland birds networking; Birds; Collaboration; Diseases; Feature extraction; Image color analysis; Mobile communication; Mobile computing; Birds networking; Collaborative identify epidemic; Feature extraction; Mobile video; p Segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Applications (ISRA), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2205-8
Type :
conf
DOI :
10.1109/ISRA.2012.6219291
Filename :
6219291
Link To Document :
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