Integrated Tracking with Features Matching and Adaptive Model Updating

摘要：

Algorithms for correlation-based IR(infrared)target tracking can be implemented easily and have high precision,so they are used widely.There are some problems to be solved for IR target track,The problems include how to realize steady and fast tracking and how to assure the validity of model updating.In this paper we propose a novel high performance matching algorithm including integrated features selection and accelerating phase, and a model updating scheme based on confidence integration and multiple frame cumulation,the proposed IR target tracking algorithm is real time and accurate.From the experiment results we can conclude the proposed solution is validate and practical, and is very useful.

作者: HUANG Fei LI De-hua

作者单位: Institute of pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Hubei,Wuhan,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1762-1766

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）