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Visual vehicle tracking algorithm
Lou, JG; Tan, TN; Hu, WM
Source PublicationELECTRONICS LETTERS
2002-08-29
Volume38Issue:18Pages:1024-1025
SubtypeArticle
AbstractA modified extended Kalman filter (EKF) is proposed for visual vehicle tracking by adding a new objective function to reduce the sensitivity of the filter to model uncertainty. Experimental results show that the performance of this approach is much better than the traditional EKF and its recent variant.
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000178056000014
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9863
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, NLPR, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Lou, JG,Tan, TN,Hu, WM. Visual vehicle tracking algorithm[J]. ELECTRONICS LETTERS,2002,38(18):1024-1025.
APA Lou, JG,Tan, TN,&Hu, WM.(2002).Visual vehicle tracking algorithm.ELECTRONICS LETTERS,38(18),1024-1025.
MLA Lou, JG,et al."Visual vehicle tracking algorithm".ELECTRONICS LETTERS 38.18(2002):1024-1025.
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