首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于蚁群算法的监控系统的图像识别技术研究
引用本文:谷灵康,林宏基.基于蚁群算法的监控系统的图像识别技术研究[J].系统仿真学报,2006,18(Z1):369-370.
作者姓名:谷灵康  林宏基
作者单位:福州大学数学与计算机科学学院,福建,福州,350002
摘    要:介绍智能监控系统中的图像识别技术;利用蚁群算法进行图像分割,提取可疑区域,再运用人工智能中的基于缺省规则推理对可疑区域进行分别处理。运用这项技术对非法入侵对象进行识别,经实验验证实用可靠,满足实时性要求,能将报警信号和可疑区域图像通过网络传送到报警中心。

关 键 词:蚁群算法  图像分割  图像识别  人工智能  视频监控
文章编号:1004-731X(2006)S1-0369-02
修稿时间:2006年5月15日

Research of Image Recognition Techniques Applied to Intelligent Monitoring System Based on Ant Colony Algorithm
GU Ling-kang,LIN Hong-ji.Research of Image Recognition Techniques Applied to Intelligent Monitoring System Based on Ant Colony Algorithm[J].Journal of System Simulation,2006,18(Z1):369-370.
Authors:GU Ling-kang  LIN Hong-ji
Abstract:Image recognition techniques of intelligent monitoring system were introduced, and general image segmentation techniques and rule-based inference were 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 was used. The results show that this technology is practical, reliable and in real-time. It also can send the alarm signal and the suspected light-area image to the alarm center through networks.
Keywords:ant colony algorithm  image segmentation  image recognition  artificial intelligence  video monitoring
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号