Artificial Intelligence with Uncertainty Based Infrared Image Data Mining

摘要：

Thermal infrared imaging technology is very useful in the field of human activity recognition and analysis. The paper introduces thermal infrared imaging technology into psychological analysis domain, use the theory of artificial intelligence with uncertainty to dispose the problem of uncertainty which exists in the process of infrared image data mining. And analyzes the psychology of the testers from its temperature variation curve. At last, experiments proves it is effective.

关键词： data mining cloud model uncertainty thermal infrared image

作者: Kun Qin Min Xu Deyi Li Yan Jun Haiquan Yang

作者单位: School of Remote Sensing Information Engineering, Wuhan University, Wuhan, 430079, China China Institute of Electronic System Engineering, Beijing 100840, China

会议类型: 国际会议

会议名称: 北京国际地理信息系统学术讨论会第七届会议（7th International Workshop Geographical Information System

会议地点: 北京

会议语种:英文

页码: 358-363

在线出版日期: 2007-09-14（万方平台首次上网日期，不代表论文的发表时间）