Vehicle tracking based on multi-feature adaptive fusion

doi:10.6041/j.issn.1000-1298.2013.04.006

	Vehicle tracking based on multi-feature adaptive fusion
	Li, Yuchen 1,2; Li, Zhanming1,2
	2013-04-01
发表期刊	Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
ISSN	10001298
卷号	44 期号:4 页码:33-38
摘要	A kind of adaptive multi-feature fusion tracking algorithm was proposed. The proposed algorithm overcame the particle degeneration phenomenon well by using finite-difference extended Kalman filter. The proposal distribution function was optimized. The latest observation information was fused into the suggestion distribution function by using finite-difference extended Kalman filter. Meanwhile, an adaptive multi-feature fusion method was proposed to overcome the defects of the additive fusion and the multiplicative fusion. The proposed method used static and dynamic characteristics as complementary observables in the framework of improved particle filter. Experimental results showed that the proposed method was effective in enhancing the accuracy and robustness of vehicle tracking system in different environments.
关键词	Distribution functions Finite difference method Image processing Monte Carlo methods Tracking (position) Vehicles Improved particle filter Multi-feature fusion Observation information Particle degenerations Particle filter Proposal distribution Static and dynamic characteristics Vehicle tracking system
DOI	10.6041/j.issn.1000-1298.2013.04.006
收录类别	EI
语种	中文
出版者	Chinese Society of Agricultural Machinery
EI入藏号	20131716238964
EI主题词	Extended Kalman filters
EI分类号	921.6 Numerical Methods - 922.1 Probability Theory - 922.2 Mathematical Statistics
来源库	Compendex
分类代码	921.6 Numerical Methods - 922.1 Probability Theory - 922.2 Mathematical Statistics
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/113425
专题	电气工程与信息工程学院
作者单位	1.School of Electric Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China; 2.Key Laboratory of Advanced Control of Industrial Processes of Gansu Province, Lanzhou 730050, China
第一作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Li, Yuchen,Li, Zhanming. Vehicle tracking based on multi-feature adaptive fusion[J]. Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery,2013,44(4):33-38.
APA	Li, Yuchen,&Li, Zhanming.(2013).Vehicle tracking based on multi-feature adaptive fusion.Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery,44(4),33-38.
MLA	Li, Yuchen,et al."Vehicle tracking based on multi-feature adaptive fusion".Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery 44.4(2013):33-38.