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