Multi-feature integration kernel particle filtering target tracking

• 作 者: 初红霞 张积宾 王科俊
• 机 构: Collegeofautomation,SchoolofComputerScienceandTechnology
• 出 处: Journal of Harbin Institute of Technology
• 发表日期: 2011年06期
• 基金项目: Sponsored by Natural Science Foundation of Heilongjiang Province of China（ Grant No. QC2001 C060 ） , and the Science and Technology Research Projects in Office of Education of Heilongjiang province （G

In light of degradation of particle filtering and robust weakness in the utilization of single feature tracking,this paper presents a kernel particle filtering tracking method based on multi-feature integration.In this paper,a new weight upgrading meth