메뉴 건너뛰기




Volumn , Issue , 2007, Pages

Fast training and selection of Haar features using statistics in boosting-based face detection

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTER NETWORKS; COMPUTER VISION; IMAGE PROCESSING; LEARNING SYSTEMS;

EID: 50549099244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4409038     Document Type: Conference Paper
Times cited : (122)

References (18)
  • 1
    • 51449109086 scopus 로고    scopus 로고
    • Adaboost is consistent
    • MIT Press
    • P. L. Bartlett and M. Traskin. Adaboost is consistent. In NIPS19. MIT Press, 2006.
    • (2006) NIPS19
    • Bartlett, P.L.1    Traskin, M.2
  • 3
    • 0002978642 scopus 로고    scopus 로고
    • Experiments with a new boosting algorithm
    • Y. Freund and R. E. Schapire. Experiments with a new boosting algorithm. In ICML, 1996.
    • (1996) ICML
    • Freund, Y.1    Schapire, R.E.2
  • 4
    • 34548762396 scopus 로고    scopus 로고
    • High-performance implementation of the level-3 blas
    • Technical report, The University of Texas at Austin, Department of Computer Sciences
    • K. Goto and R. van de Geijn. High-performance implementation of the level-3 blas. Technical report, The University of Texas at Austin, Department of Computer Sciences, 2006.
    • (2006)
    • Goto, K.1    van de Geijn, R.2
  • 5
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. Guyon and A. Elisseeff. An introduction to variable and feature selection. J. Mach. Learn. Res., 3:1157-1182, 2003.
    • (2003) J. Mach. Learn. Res , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 6
    • 33947536269 scopus 로고    scopus 로고
    • High-performance rotation invariant multiview face detection
    • C. Huang, H. Ai, Y. Li, and S. Lao. High-performance rotation invariant multiview face detection. TPAMI, 29:671-686, 2007.
    • (2007) TPAMI , vol.29 , pp. 671-686
    • Huang, C.1    Ai, H.2    Li, Y.3    Lao, S.4
  • 7
    • 84937578295 scopus 로고    scopus 로고
    • Statistical learning of multi-view face detection
    • S. Z. Li, L. Zhu, Z. Zhang, A. Blake, H. Zhang, and H. Shum. Statistical learning of multi-view face detection. In ECCV, pages 67-81, 2002.
    • (2002) ECCV , pp. 67-81
    • Li, S.Z.1    Zhu, L.2    Zhang, Z.3    Blake, A.4    Zhang, H.5    Shum, H.6
  • 8
    • 35248892096 scopus 로고    scopus 로고
    • Empirical analysis of detection cascades of boosted classifiers for rapid object detection
    • R. Lienhart, A. Kuranov, and V. Pisarevsky. Empirical analysis of detection cascades of boosted classifiers for rapid object detection. In DAGM-Symposium, pages 297-304, 2003.
    • (2003) DAGM-Symposium , pp. 297-304
    • Lienhart, R.1    Kuranov, A.2    Pisarevsky, V.3
  • 9
    • 0004171986 scopus 로고    scopus 로고
    • The ar face database
    • Technical Report 24, CVC, U.A.B, June
    • A. Martinez and R. Benavente. The ar face database. Technical Report 24, CVC, U.A.B., June 1998.
    • (1998)
    • Martinez, A.1    Benavente, R.2
  • 10
    • 27944478140 scopus 로고    scopus 로고
    • N. Oza. Online bagging and boosting. In ICSMC, 3, pages 2340-2345Vol.3, 10-12 Oct. 2005.
    • N. Oza. Online bagging and boosting. In ICSMC, volume 3, pages 2340-2345Vol.3, 10-12 Oct. 2005.
  • 11
    • 34948865217 scopus 로고    scopus 로고
    • Online learning asymmetric boosted classifiers for object detection
    • M.-T. Pham and T.-J. Cham. Online learning asymmetric boosted classifiers for object detection. In CVPR, 2007.
    • (2007) CVPR
    • Pham, M.-T.1    Cham, T.-J.2
  • 12
    • 0032314289 scopus 로고    scopus 로고
    • Rotation invariant neural network-based face detection
    • June
    • H. Rowley, S. Baluja, and T. Kanade. Rotation invariant neural network-based face detection. In Proc. CVPR, June 1998.
    • (1998) Proc. CVPR
    • Rowley, H.1    Baluja, S.2    Kanade, T.3
  • 13
    • 0035680116 scopus 로고    scopus 로고
    • Rapid object detection using a boosted cascade of simple features
    • P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Proc. CVPR, 2001.
    • (2001) Proc. CVPR
    • Viola, P.1    Jones, M.2
  • 14
    • 84898979550 scopus 로고    scopus 로고
    • Fast and robust classification using asymmetric adaboost and a detector cascade
    • MIT Press, Cambridge, MA
    • P. Viola and M. Jones. Fast and robust classification using asymmetric adaboost and a detector cascade. In NIPS 14. MIT Press, Cambridge, MA, 2002.
    • (2002) NIPS 14
    • Viola, P.1    Jones, M.2
  • 15
    • 2142812371 scopus 로고    scopus 로고
    • Robust real-time face detection
    • P. Viola and M. J. Jones. Robust real-time face detection. Int. J. Comput. Vision, 57(2):137-154, 2004.
    • (2004) Int. J. Comput. Vision , vol.57 , Issue.2 , pp. 137-154
    • Viola, P.1    Jones, M.J.2
  • 16
    • 4544255195 scopus 로고    scopus 로고
    • Fast rotation invariant multi-view face detection based on real adaboost
    • 17-19 May
    • B. Wu, H. Ai, C. Huang, and S. Lao. Fast rotation invariant multi-view face detection based on real adaboost. In FGR, pages 79-84, 17-19 May 2004.
    • (2004) FGR , pp. 79-84
    • Wu, B.1    Ai, H.2    Huang, C.3    Lao, S.4
  • 18
    • 84898993295 scopus 로고    scopus 로고
    • Learning a rare event detection cascade by direct feature selection
    • MIT Press
    • J. Wu, J. M. Rehg, and M. D. Mullin. Learning a rare event detection cascade by direct feature selection. In NIPS 16. MIT Press, 2004.
    • (2004) NIPS 16
    • Wu, J.1    Rehg, J.M.2    Mullin, M.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.