DocumentCode :
2486221
Title :
Research on Image Recognition Techniques Applied to Intelligent Monitoring System Based on Ant Colony Algorithm
Author :
Zhang Yanlin
Author_Institution :
Comput. Sci. Dept., Wenzhou Vocational & Tech. Coll., Wenzhou, China
fYear :
2010
fDate :
22-23 May 2010
Firstpage :
1
Lastpage :
4
Abstract :
This article introduces the image segmentation principles and techniques,and general image segmentation techniques and rule-based inference in artificial intelligence are used to recognize intruders.After segmentation and getting the suspected light-area in the image,the rule-based inference for intelligent recognition of the area is techniquely applied.The target tracking process of inmonitoring system is further introduced.The results show that this technique is practical,reliable and in real-time.It can also send the alarm signal and the suspected light-area image to the alarm center through networks.
Keywords :
image recognition; image segmentation; inference mechanisms; knowledge based systems; optimisation; target tracking; alarm center; alarm signal; ant colony algorithm; artificial intelligence; image recognition techniques; image segmentation; inmonitoring system; intelligent monitoring system; intelligent recognition; light-area image; rule based inference; target tracking process; Artificial intelligence; Image recognition; Image segmentation; Inference algorithms; Intelligent networks; Intelligent systems; Monitoring; Signal processing; Target recognition; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
Type :
conf
DOI :
10.1109/IWISA.2010.5473658
Filename :
5473658
Link To Document :
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