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Capturing and tracking of building area based on structure saliency in airborne remote sensing video
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  • 作者：Jing Feng (1)
    FuKun Bi (2)
    Liang Chen (1)
    FeiFei Zhang (1)
    He Chen (1)

    1. School of Information and Electronics     ; Beijing Institute of Technology ; Beijing ; 100081 ; China
    2. College of Information Engineering     ; North China University of Technology ; Beijing ; 100144 ; China
  • 关键词：049301
  • 刊名：SCIENCE CHINA Information Sciences
  • 出版年：2015
  • 出版时间：April 2015
  • 年：2015
  • 卷：58
  • 期：4
  • 页码：1-3
  • 全文大小：281 KB
  • 参考文献：1. Lowe, D G (2004) Distinctive image features from scale-invariant keypoint. Int J Computer Vis 60: pp. 91-110 CrossRef
    2. Daniel, W, Alessandro, M (2010) Real-time detection and tracking for augmented reality on mobile phones. IEEE Trans Visualiz Comput Graph 16: pp. 355-368 CrossRef
    3. Apostolos, P, Christos, N (2010) Vehicle logo recognition using a sift-based enhanced matching scheme. IEEE Trans Intell Transport Syst 11: pp. 322-328 CrossRef
    4. Chong, C, Dan, S (2010) A particle filtering framework for joint video tracking and pose estimation. IEEE Trans Image Process 19: pp. 1625-1634 CrossRef
    5. Huy, T H, Rama, C (2012) Automatic head pose estimation using randomly projected dense SIFT descriptors. IEEE International Conference on Image Processing, Orlando 19: pp. 153-156
    6. Bay, H, Tuvtellars, T, Gool, L (2006) SURF: speeded up robust features. Proceedings of the European Conference on Computer Vision, Graz. pp. 404-417
    7. Ke, Y, Sukthankar, R (2006) PCA-SIFT: A more distinctive representation for local image descriptors. Proceeding of Computer Vis Pattern Recogn, Washington 2: pp. 506-513
    8. Dai, D X, Yang, W (2011) Multilevel local pattern histogram for SAR image classification. IEEE Geosci Rem Sens Lett 8: pp. 225-229 CrossRef
    9. Chiu, L C, Chang, T S, Chen, J Y (2013) Fast SIFT design for real-time visual feature extraction. IEEE Trans Image Process 22: pp. 3158-3166 CrossRef
    10. Meltem, O, Nael, A (2014) SIFT: low-complexity energy-efficient information flow tracking on SMT processors. IEEE Trans Computer 63: pp. 484-496 CrossRef
  • 刊物类别：Computer Science
  • 刊物主题：Chinese Library of Science
    Information Systems and Communication Service
  • 出版者：Science China Press, co-published with Springer
  • ISSN：1869-1919
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