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Volumn 77, Issue 1-3, 2008, Pages 65-86

On the design of cascades of boosted ensembles for face detection

Author keywords

Boosting; Cascade classifier; Face detection

Indexed keywords

AUTOMATIC PROGRAMMING; CASCADE CONTROL SYSTEMS; DECISION THEORY; FEATURE EXTRACTION; PROBLEM SOLVING;

EID: 39749155821     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-007-0060-1     Document Type: Article
Times cited : (138)

References (43)
  • 1
    • 0033208584 scopus 로고    scopus 로고
    • A computational model for visual selection
    • Amit, Y., & Geman, D. (1999). A computational model for visual selection. Neural Computation, 11, 1691-1715.
    • (1999) Neural Computation , vol.11 , pp. 1691-1715
    • Amit, Y.1    Geman, D.2
  • 2
    • 4544380243 scopus 로고    scopus 로고
    • Generalization error bounds for threshold decision lists
    • Anthony, M. (2004). Generalization error bounds for threshold decision lists. Journal of Machine Learning Research, 5, 189-217.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 189-217
    • Anthony, M.1
  • 3
    • 39749105102 scopus 로고    scopus 로고
    • Algorithms for pattern rejection
    • Baker, S., & Nayar, S. (1996). Algorithms for pattern rejection. In Proceedings of ICPR (Vol. 2, pp. 869-874).
    • (1996) Proceedings of ICPR , vol.2 , pp. 869-874
    • Baker, S.1    Nayar, S.2
  • 5
    • 9244242503 scopus 로고    scopus 로고
    • Sequential testing designs for pattern recognition
    • Blanchard, G., & Blanchard, D. (June 2005). Sequential testing designs for pattern recognition. Annals of Statistics, 33, 1155-1202.
    • (2005) Annals of Statistics , vol.33 , pp. 1155-1202
    • Blanchard, G.1    Blanchard, D.2
  • 7
    • 33745855896 scopus 로고    scopus 로고
    • Towards optimal training of cascaded detectors
    • Brubaker, S. C., Mullin, M. D., & Rehg, J. M. (2006). Towards optimal training of cascaded detectors. In ECCV (1) (pp. 325-337).
    • (2006) ECCV (1) , pp. 325-337
    • Brubaker, S.C.1    Mullin, M.D.2    Rehg, J.M.3
  • 8
    • 85053970576 scopus 로고    scopus 로고
    • A time-efficient cascade for real-time object detection: With applications for the visually impaired
    • Chen, X., & Yuille, A. L. (2005). A time-efficient cascade for real-time object detection: with applications for the visually impaired. In CVPR (3) (pp. 20-26).
    • (2005) CVPR (3) , pp. 20-26
    • Chen, X.1    Yuille, A.L.2
  • 9
    • 0036778811 scopus 로고    scopus 로고
    • Pattern detection using a maximal rejection classifier
    • 12
    • Elad, M., Hel-Or, Y., & Keshet, R. (2002). Pattern detection using a maximal rejection classifier. Pattern Recognition Letters, 23(12), 1459-1471.
    • (2002) Pattern Recognition Letters , vol.23 , pp. 1459-1471
    • Elad, M.1    Hel-Or, Y.2    Keshet, R.3
  • 10
    • 33645690579 scopus 로고    scopus 로고
    • Fast binary feature selection with conditional mutual information
    • Fleuret, F. (2004). Fast binary feature selection with conditional mutual information. Journal of Machine Learning Research, 5, 1531-1555.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 1531-1555
    • Fleuret, F.1
  • 11
    • 33751570459 scopus 로고    scopus 로고
    • Fast face detection with precise pose estimation
    • Fleuret, F., & Geman, D. (2002). Fast face detection with precise pose estimation. In Proceedings of ICPR (Vol. 1, pp. 235-238).
    • (2002) Proceedings of ICPR , vol.1 , pp. 235-238
    • Fleuret, F.1    Geman, D.2
  • 12
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • 1
    • Freund, Y., & Schapire, R. E. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1), 119-139.
    • (1997) Journal of Computer and System Sciences , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 14
    • 33750063334 scopus 로고    scopus 로고
    • A design principle for coarse-to-fine classification
    • Gangaputra, S., & Geman, D. (2006). A design principle for coarse-to-fine classification. In Proceedings of CVPR (Vol. 2, pp. 1877-1884).
    • (2006) Proceedings of CVPR , vol.2 , pp. 1877-1884
    • Gangaputra, S.1    Geman, D.2
  • 16
    • 33846589345 scopus 로고    scopus 로고
    • Towards interactive generation of "ground-truth" in background subtraction from partially labeled examples
    • Grossmann, E., Kale, A., & Jaynes, C. (2005). Towards interactive generation of "ground-truth" in background subtraction from partially labeled examples. In Proceedings of ICCV VS-PETS workshop.
    • (2005) Proceedings of ICCV VS-PETS Workshop
    • Grossmann, E.1    Kale, A.2    Jaynes, C.3
  • 18
    • 0035684727 scopus 로고    scopus 로고
    • Feature reduction and hierarchy of classifiers for fast object detection in video images
    • Heisele, B., Serre, T., Mukherjee, S., & Poggio, T. (2001). Feature reduction and hierarchy of classifiers for fast object detection in video images. In Proceedings of CVPR (Vol. 2, pp. 18-24).
    • (2001) Proceedings of CVPR , vol.2 , pp. 18-24
    • Heisele, B.1    Serre, T.2    Mukherjee, S.3    Poggio, T.4
  • 19
    • 0035392827 scopus 로고    scopus 로고
    • Antifaces: A novel, fast method for image detection
    • 7
    • Keren, D., Osadchy, M., & Gotsman, C. (2001). Antifaces: a novel, fast method for image detection. IEEE Transactions on PAMI, 23(7), 747-761.
    • (2001) IEEE Transactions on PAMI , vol.23 , pp. 747-761
    • Keren, D.1    Osadchy, M.2    Gotsman, C.3
  • 20
    • 84899028850 scopus 로고    scopus 로고
    • Face detection-efficient and rank deficient
    • Weiss, Y. (Ed.), MIT Press Cambridge
    • Kienzle, W., Bakir, G., Franz, M., & Schlkopf, B. (2005). Face detection-efficient and rank deficient. In Weiss, Y. (Ed.), NIPS (Vol. 17, pp. 673-680). Cambridge: MIT Press.
    • (2005) NIPS , vol.17 , pp. 673-680
    • Kienzle, W.1    Bakir, G.2    Franz, M.3    Schlkopf, B.4
  • 21
    • 5044232103 scopus 로고    scopus 로고
    • Learning object detection from a small number of examples: The importance of good features
    • Levi, K., & Weiss, Y. (2004). Learning object detection from a small number of examples: the importance of good features. In Proceedings of CVPR (Vol. 2).
    • (2004) Proceedings of CVPR , vol.2
    • Levi, K.1    Weiss, Y.2
  • 22
    • 4344568145 scopus 로고    scopus 로고
    • Floatboost learning and statistical face detection
    • 9
    • Li, S. Z., & Zhang, Z. Q. (2004). Floatboost learning and statistical face detection. IEEE Transactions on PAMI, 26(9), 1112-1123.
    • (2004) IEEE Transactions on PAMI , vol.26 , pp. 1112-1123
    • Li, S.Z.1    Zhang, Z.Q.2
  • 24
    • 17044437455 scopus 로고    scopus 로고
    • Kullback-Leibler boosting
    • Liu, C., & Shum, H. (2003). Kullback-Leibler boosting. In Proceedings of CVPR (Vol. I, pp. 587-594).
    • (2003) Proceedings of CVPR , vol.1 , pp. 587-594
    • Liu, C.1    Shum, H.2
  • 25
    • 24644498195 scopus 로고    scopus 로고
    • Optimization design of cascaded classifiers
    • Luo, H. (2005). Optimization design of cascaded classifiers. In Proceedings of CVPR (Vol. 1, pp. 480-485).
    • (2005) Proceedings of CVPR , vol.1 , pp. 480-485
    • Luo, H.1
  • 27
    • 35048877938 scopus 로고    scopus 로고
    • Weak hypotheses and boosting for generic object detection and recognition
    • Opelt, A., Fussenegger, M., Pinz, A., & Auer, P. (2004). Weak hypotheses and boosting for generic object detection and recognition. In ECCV (2) (pp. 71-84).
    • (2004) ECCV (2) , pp. 71-84
    • Opelt, A.1    Fussenegger, M.2    Pinz, A.3    Auer, P.4
  • 28
    • 84898988145 scopus 로고    scopus 로고
    • Synergistic face detection and pose estimation with energy-based model selection
    • Osadchy, R., Miller, M., & LeCun, Y. (2005). Synergistic face detection and pose estimation with energy-based model selection. In NIPS 17.
    • (2005) NIPS 17
    • Osadchy, R.1    Miller, M.2    Lecun, Y.3
  • 29
    • 1442267080 scopus 로고
    • Learning decision lists
    • Rivest, R. (1987). Learning decision lists. Machine Learning, 2, 229-246.
    • (1987) Machine Learning , vol.2 , pp. 229-246
    • Rivest, R.1
  • 32
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting using confidence-rated predictions
    • 3
    • Schapire, R. E., & Singer, Y. (1999). Improved boosting using confidence-rated predictions. Machine Learning, 37(3), 297-336.
    • (1999) Machine Learning , vol.37 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2
  • 33
    • 5044225051 scopus 로고    scopus 로고
    • Feature-centric evaluation for efficient cascaded object detection
    • Schneiderman, H. (2004). Feature-centric evaluation for efficient cascaded object detection. In Proceedings of CVPR (Vol. 2, pp. 29-36).
    • (2004) Proceedings of CVPR , vol.2 , pp. 29-36
    • Schneiderman, H.1
  • 34
    • 24644524727 scopus 로고    scopus 로고
    • Waldboost-learning for time constrained sequential detection
    • Šochman, J., & Matas, J. (2005). Waldboost-learning for time constrained sequential detection. In Proceedings of CVPR (Vol. 2, pp. 150-156).
    • (2005) Proceedings of CVPR , vol.2 , pp. 150-156
    • Šochman, J.1    Matas, J.2
  • 35
    • 5044225524 scopus 로고    scopus 로고
    • Automatic cascade training with perturbation bias
    • Sun, J., Rehg, J. M., & Bobick, A. (2004). Automatic cascade training with perturbation bias. In Proceedings of CVPR (Vol. 2, pp. 276-283).
    • (2004) Proceedings of CVPR , vol.2 , pp. 276-283
    • Sun, J.1    Rehg, J.M.2    Bobick, A.3
  • 36
    • 0031648023 scopus 로고    scopus 로고
    • Example-based learning for view-based human face detection
    • 1
    • Sung, K., & Poggio, T. (1998). Example-based learning for view-based human face detection. IEEE Transactions on PAMI, 20(1), 39-51.
    • (1998) IEEE Transactions on PAMI , vol.20 , pp. 39-51
    • Sung, K.1    Poggio, T.2
  • 37
    • 33745897632 scopus 로고    scopus 로고
    • Probabilistic boosting-tree: Learning discriminative models for classification, recognition, and clustering
    • Tu, Z. (2005). Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering. In ICCV (pp. 1589-1596).
    • (2005) ICCV , pp. 1589-1596
    • Tu, Z.1
  • 38
    • 0345414114 scopus 로고    scopus 로고
    • Object recognition with informative features and linear classification
    • Vidal-Naquet, M., & Ullman, S. (2003). Object recognition with informative features and linear classification. In Proceedings of ICCV (Vol. 1, pp. 281-288).
    • (2003) Proceedings of ICCV , vol.1 , pp. 281-288
    • Vidal-Naquet, M.1    Ullman, S.2
  • 39
    • 84898979550 scopus 로고    scopus 로고
    • Fast and robust classification using asymmetric AdaBoost and a detector cascade
    • Viola, P., & Jones, M. (2002). Fast and robust classification using asymmetric AdaBoost and a detector cascade. In NIPS 14.
    • (2002) NIPS 14
    • Viola, P.1    Jones, M.2
  • 40
    • 2142812371 scopus 로고    scopus 로고
    • Robust real-time face detection
    • 2
    • Viola, P., & Jones, M. J. (2004). Robust real-time face detection. IJCV, 57(2), 137-154.
    • (2004) IJCV , vol.57 , pp. 137-154
    • Viola, P.1    Jones, M.J.2
  • 41
    • 84898993295 scopus 로고    scopus 로고
    • Learning a rare event detection cascade by direct feature selection
    • Wu, J., Rehg, J. M., & Mullin, M. D. (2004). Learning a rare event detection cascade by direct feature selection. In NIPS 16.
    • (2004) NIPS 16
    • Wu, J.1    Rehg, J.M.2    Mullin, M.D.3
  • 43
    • 0344551825 scopus 로고    scopus 로고
    • Boosting chain learning for object detection
    • Xiao, R., Zhu, L., & Zhang, H.-J. (2003) Boosting chain learning for object detection. In Proceedings of ICCV (Vol. I, pp. 709-715).
    • (2003) Proceedings of ICCV , vol.1 , pp. 709-715
    • Xiao, R.1    Zhu, L.2    Zhang, H.-J.3


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