Infrared moving target detection and tracking based on tensor locality preserving projection |
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| Authors: | Hong Li Yantao Wei Luoqing Li Yuan Y. Tang |
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| Affiliation: | 1. School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China;2. Faculty of Mathematics and Computer Science, Hubei University, Wuhan 430062, China;3. Hong Kong Baptist University, Kowloon Tong, Hong Kong, China;4. College of Computer Science, Chongqing University, Chongqing 400044, China;1. Division of Parasitology, Kimron Veterinary Institute, P.O.B. 12, Bet Dagan 50250, Israel;2. Department of Microbiology and Molecular Genetics, The Kuvin Center for the Study of Infectious and Tropical Diseases, The Hebrew University of Jerusalem, Jerusalem, Israel;1. Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Università degli Studi di Perugia, Borgo XX Giugno 74, 06121 Perugia, Italy;3. Faculty of Science and Technology, Free University of Bolzano, Piazza Università 5, 39100 Bolzano, Italy;4. Dipartimento per l''Innovazione dei sistemi Biologici, Agroalimentari e Forestali (DIBAF), Via S. Camillo de Lellis, 01100 Viterbo, Italy |
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| Abstract: | This 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. |
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