메뉴 건너뛰기




Volumn , Issue , 2013, Pages

Remote feature learning for mobile re-identification

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED SYSTEMS; COMPUTATIONAL CAPABILITY; FEATURE LEARNING; FEATURE TRANSFORMATIONS; METRIC LEARNING; PERSON RE IDENTIFICATIONS; RE IDENTIFICATIONS; STATE-OF-THE-ART METHODS;

EID: 84899550250     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDSC.2013.6778221     Document Type: Conference Paper
Times cited : (9)

References (21)
  • 1
    • 57149134211 scopus 로고    scopus 로고
    • CenSurE: Center surround extremas for realtime feature detection and matching
    • Marseille, France
    • M. Agrawal, K. Konolige, and M. R. Blas. CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching. In European Conference Computer Vision, pages 102-115, Marseille, France, 2008.
    • (2008) European Conference Computer Vision , pp. 102-115
    • Agrawal, M.1    Konolige, K.2    Blas, M.R.3
  • 4
    • 33745827782 scopus 로고    scopus 로고
    • SURF: Speeded up robust features
    • A. Leonardis, H. Bischof, and A. Pinz, editors, volume 3951 of Lecture Notes in Computer Science, Berlin, Heidelberg Springer Berlin Heidelberg
    • H. Bay, T. Tuytelaars, and L. V. Gool. SURF: Speeded Up Robust Features. In A. Leonardis, H. Bischof, and A. Pinz, editors, European Conference Computer Vision, volume 3951 of Lecture Notes in Computer Science, pages 404-417, Berlin, Heidelberg, 2006. Springer Berlin Heidelberg.
    • (2006) European Conference Computer Vision , pp. 404-417
    • Bay, H.1    Tuytelaars, T.2    Gool, L.V.3
  • 5
    • 84862572342 scopus 로고    scopus 로고
    • Boosted human reidentification using Riemannian manifolds
    • June
    • S. Bk, E. Corvée, F. Brémond, and M. Thonnat. Boosted human reidentification using Riemannian manifolds. Image and Vision Computing, 30(6-7):443-452, June 2012.
    • (2012) Image and Vision Computing , vol.30 , Issue.6-7 , pp. 443-452
    • Bk, S.1    Corvée, E.2    Brémond, F.3    Thonnat, M.4
  • 8
    • 84867867416 scopus 로고    scopus 로고
    • Relaxed pairwise learned metric for person re-identification
    • A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, and C. Schmid, editors, volume 7577 of Lecture Notes in Computer Science, Berlin, Heidelberg Springer Berlin Heidelberg
    • M. Hirzer, P. M. Roth, K. Martin, and H. Bischof. Relaxed Pairwise Learned Metric for Person Re-identification. In A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, and C. Schmid, editors, European Conference Computer Vision, volume 7577 of Lecture Notes in Computer Science, pages 780-793, Berlin, Heidelberg, 2012. Springer Berlin Heidelberg.
    • (2012) European Conference Computer Vision , pp. 780-793
    • Hirzer, M.1    Roth, P.M.2    Martin, K.3    Bischof, H.4
  • 9
    • 84891764770 scopus 로고    scopus 로고
    • Application of balanced neural tree for classifying tentative matches in stereo vision
    • August
    • S. Kumar, A. Rani, C. Micheloni, and G. Foresti. Application of balanced neural tree for classifying tentative matches in stereo vision. Optical Engineering, 41(8), August 2012.
    • (2012) Optical Engineering , vol.41 , Issue.8
    • Kumar, S.1    Rani, A.2    Micheloni, C.3    Foresti, G.4
  • 12
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Nov.
    • D. G. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision, 60(2):91-110, Nov. 2004.
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 15
    • 84856415565 scopus 로고    scopus 로고
    • A balanced neural tree for pattern classification
    • C. Micheloni, A. Rani, S. Kumar, and G. Foresti. A balanced neural tree for pattern classification. Neural Networks, 27:81-90, 2012.
    • (2012) Neural Networks , vol.27 , pp. 81-90
    • Micheloni, C.1    Rani, A.2    Kumar, S.3    Foresti, G.4
  • 17
    • 84874580489 scopus 로고    scopus 로고
    • Evaluation of local detectors and descriptors for fast feature matching
    • Tsukuba, Japan
    • O. Miksik and K. Mikolajczyk. Evaluation of Local Detectors and Descriptors for Fast Feature Matching. In International Conference on Pattern Recognition, pages 2681-2684, Tsukuba, Japan, 2012.
    • (2012) International Conference on Pattern Recognition , pp. 2681-2684
    • Miksik, O.1    Mikolajczyk, K.2
  • 18
    • 33745824633 scopus 로고    scopus 로고
    • Machine learning for high-speed corner detection
    • Graz, Austria
    • E. Rosten and T. Drummond. Machine learning for high-speed corner detection. In European Conference Computer Vision, pages 430-443, Graz, Austria, 2006.
    • (2006) European Conference Computer Vision , pp. 430-443
    • Rosten, E.1    Drummond, T.2
  • 20
    • 84875876695 scopus 로고    scopus 로고
    • Local distance comparison for multiple-shot people re-identification
    • Springer Berlin Heidelberg, K. M. Lee, Y. Matsushita, J. M. Rehg, and Z. Hu, editors, volume 7726 of Lecture Notes in Computer Science, Berlin, Heidelberg
    • G. Zhang, Y. Wang, J. Kato, T. Marutani, and M. Kenji. Local distance comparison for multiple-shot people re-identification. In K. M. Lee, Y. Matsushita, J. M. Rehg, and Z. Hu, editors, Asian conference on Computer Vision, volume 7726 of Lecture Notes in Computer Science, pages 677-690, Berlin, Heidelberg, 2013. Springer Berlin Heidelberg.
    • (2013) Asian Conference on Computer Vision , pp. 677-690
    • Zhang, G.1    Wang, Y.2    Kato, J.3    Marutani, T.4    Kenji, M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.