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Infrared moving target detection and tracking based on tensor locality preserving projection
Li H.1; Wei Y.1; Li L.4; Tang Y.Y.2
2010-03-01
Source PublicationInfrared Physics and Technology
ISSN13504495
Volume53Issue:2Pages:77-83
AbstractThis paper presents an algorithm for detecting and tracking dim moving target in IR image sequence with low SNR. The algorithm, which is designed based on the locality preserving projection, accepts tensors as inputs. The justification for the algorithm comes from the role of the generalized eigenvalue problem in providing an optimal embedding for the manifold. Not only does the proposed method inherit the attractive characteristics of the locality preserving projections in terms of exploiting the intrinsic manifold structure, it is also appealing in terms of significant reduction in both space complexity and time complexity. Experimental results on two IR image sequences demonstrate the effectiveness of the proposed algorithm. © 2009 Elsevier B.V. All rights reserved.
KeywordDimensionality reduction Locality preserving projection Manifold learning Target detection and tracking Tensor
DOI10.1016/j.infrared.2009.09.009
URLView the original
Language英語
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Cited Times [WOS]:28   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Huazhong University of Science and Technology
2.Hong Kong Baptist University
3.Chongqing University
4.Hubei University
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GB/T 7714
Li H.,Wei Y.,Li L.,et al. Infrared moving target detection and tracking based on tensor locality preserving projection[J]. Infrared Physics and Technology,2010,53(2):77-83.
APA Li H.,Wei Y.,Li L.,&Tang Y.Y..(2010).Infrared moving target detection and tracking based on tensor locality preserving projection.Infrared Physics and Technology,53(2),77-83.
MLA Li H.,et al."Infrared moving target detection and tracking based on tensor locality preserving projection".Infrared Physics and Technology 53.2(2010):77-83.
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