메뉴 건너뛰기




Volumn 5303 LNCS, Issue PART 2, 2008, Pages 434-445

Relevant feature selection for human pose estimation and localization in cluttered images

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GRADIENT METHODS; SUPPORT VECTOR MACHINES;

EID: 56749154105     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88688-4_32     Document Type: Conference Paper
Times cited : (39)

References (31)
  • 1
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: Proc. of CVPR, vol. 2, pp. 886-893 (2006)
    • (2006) Proc. of CVPR , vol.2 , pp. 886-893
    • Dalal, N.1    Triggs, B.2
  • 2
    • 35048895925 scopus 로고    scopus 로고
    • Mikolajczyk, K., Schmid, C., Zisserman, A.: Human detection based on a probabilistic assembly of robust part detectors. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, 3021, pp. 69-81. Springer, Heidelberg (2004)
    • Mikolajczyk, K., Schmid, C., Zisserman, A.: Human detection based on a probabilistic assembly of robust part detectors. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 69-81. Springer, Heidelberg (2004)
  • 3
    • 33845597667 scopus 로고    scopus 로고
    • Fast human detection using a cascade of histograms of oriented gradients
    • Zhu, Q., Avidan, S., Yeh, M.C., Cheng, K.T.: Fast human detection using a cascade of histograms of oriented gradients. In: Proc. of CVPR, vol. 2, pp. 1491-1498 (2006)
    • (2006) Proc. of CVPR , vol.2 , pp. 1491-1498
    • Zhu, Q.1    Avidan, S.2    Yeh, M.C.3    Cheng, K.T.4
  • 4
    • 56749176856 scopus 로고    scopus 로고
    • A local basis representation for estimating human pose from cluttered images
    • Agarwal, A., Triggs, B.: A local basis representation for estimating human pose from cluttered images. In: Proc. of ACCV, vol. 1, pp. 50-59 (2006)
    • (2006) Proc. of ACCV , vol.1 , pp. 50-59
    • Agarwal, A.1    Triggs, B.2
  • 6
    • 0345414554 scopus 로고    scopus 로고
    • Fast pose estimation with parameter-sensitive hashing
    • Shakhnarovich, G., Viola, P., Darrell, T.: Fast pose estimation with parameter-sensitive hashing. In: Proc. of ICCV, vol. 2, pp. 750-757 (2007)
    • (2007) Proc. of ICCV , vol.2 , pp. 750-757
    • Shakhnarovich, G.1    Viola, P.2    Darrell, T.3
  • 7
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • Blum, A., Langley, P.: Selection of relevant features and examples in machine learning. Artificial Intelligence 97(1-2), 245-271 (1997)
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 245-271
    • Blum, A.1    Langley, P.2
  • 9
    • 33745864363 scopus 로고    scopus 로고
    • Thayananthan, A., Navaratnam, R., Stenger, B., Torr, P.H.S., Cipolla, R.: Multivariate relevance vector machines for tracking. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, 3953, pp. 124-138. Springer, Heidelberg (2006)
    • Thayananthan, A., Navaratnam, R., Stenger, B., Torr, P.H.S., Cipolla, R.: Multivariate relevance vector machines for tracking. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3953, pp. 124-138. Springer, Heidelberg (2006)
  • 11
    • 0036738840 scopus 로고    scopus 로고
    • Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms
    • Keerthi, S.S.: Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms. IEEE Trans. on Neural Networks 13(5), 1225-1229 (2002)
    • (2002) IEEE Trans. on Neural Networks , vol.13 , Issue.5 , pp. 1225-1229
    • Keerthi, S.S.1
  • 12
    • 34948844078 scopus 로고    scopus 로고
    • Fast human pose estimation using appearance and motion via multi-dimensional boosting regression
    • Bissacco, A., Yang, M.H., Soatto, S.: Fast human pose estimation using appearance and motion via multi-dimensional boosting regression. In: Proc. of CVPR, pp. 1-8 (2007)
    • (2007) Proc. of CVPR , pp. 1-8
    • Bissacco, A.1    Yang, M.H.2    Soatto, S.3
  • 13
    • 10044275031 scopus 로고    scopus 로고
    • Real-time human motion sensing based on vision-based inverse kinematics for interactive applications
    • Date, N., et al.: Real-time human motion sensing based on vision-based inverse kinematics for interactive applications. In: Proc. of ICPR, vol. 3, pp. 318-321 (2004)
    • (2004) Proc. of ICPR , vol.3 , pp. 318-321
    • Date, N.1
  • 17
    • 33644830736 scopus 로고    scopus 로고
    • Recovering 3D human pose from monocular images
    • Agarwal, A., Triggs, B.: Recovering 3D human pose from monocular images. IEEE Trans. on PAMI 28(1), 44-58 (2006)
    • (2006) IEEE Trans. on PAMI , vol.28 , Issue.1 , pp. 44-58
    • Agarwal, A.1    Triggs, B.2
  • 18
    • 56749150656 scopus 로고    scopus 로고
    • A video motion capture system for interactive games
    • Okada, R., Stenger, B., Kondoh, N.: A video motion capture system for interactive games. In: Proc. of MVA, pp. 186-189 (2007)
    • (2007) Proc. of MVA , pp. 186-189
    • Okada, R.1    Stenger, B.2    Kondoh, N.3
  • 19
    • 24644447128 scopus 로고    scopus 로고
    • Learning to reconstruct 3D human motion from bayesian mixtures of experts, a probabilistic discriminative approach
    • Technical Report CSRG-502, University of Toronto
    • Sminchisescu, C., Kanaujia, A., Li, Z., Metaxas, D.: Learning to reconstruct 3D human motion from bayesian mixtures of experts, a probabilistic discriminative approach. Technical Report CSRG-502, University of Toronto (2004)
    • (2004)
    • Sminchisescu, C.1    Kanaujia, A.2    Li, Z.3    Metaxas, D.4
  • 20
    • 0344983340 scopus 로고    scopus 로고
    • Detecting pedestrians using patterns of motion and appearance
    • Viola, P., Jones, M., Snow, D.: Detecting pedestrians using patterns of motion and appearance. In: Proc. of ICCV, pp. 734-741 (2003)
    • (2003) Proc. of ICCV , pp. 734-741
    • Viola, P.1    Jones, M.2    Snow, D.3
  • 21
    • 34948834722 scopus 로고    scopus 로고
    • Detecting pedestrians by learning shapelet features
    • Sabzmeydani, P., Mori, G.: Detecting pedestrians by learning shapelet features. In: Proc. of CVPR, pp. 1-8(2007)
    • (2007) Proc. of CVPR , pp. 1-8
    • Sabzmeydani, P.1    Mori, G.2
  • 22
    • 24144445838 scopus 로고    scopus 로고
    • Zehnder, P., Koller-Meier, E., Gool, L.V.: A hierarchical system for recognition, tracking and pose estimation. In: Bengio, S., Boudard, H. (eds.) MLMI 2004. LNCS, 3361, pp. 329-340. Springer, Heidelberg (2005)
    • Zehnder, P., Koller-Meier, E., Gool, L.V.: A hierarchical system for recognition, tracking and pose estimation. In: Bengio, S., Boudard, H. (eds.) MLMI 2004. LNCS, vol. 3361, pp. 329-340. Springer, Heidelberg (2005)
  • 23
    • 0002097878 scopus 로고    scopus 로고
    • Image representations for object detection using kernel classifiers
    • Evgeniou, T., Pontil, M., Papageorgiou, C., Poggio, T.: Image representations for object detection using kernel classifiers. In: Proc. of ACCV, pp. 687-692 (2000)
    • (2000) Proc. of ACCV , pp. 687-692
    • Evgeniou, T.1    Pontil, M.2    Papageorgiou, C.3    Poggio, T.4
  • 24
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparison to regularize likelihood methods
    • Smola, A, Bartlett, P, Schoelkopf, B, Schuurmans, D, eds
    • Piatt, J.: Probabilistic outputs for support vector machines and comparison to regularize likelihood methods. In: Smola, A., Bartlett, P., Schoelkopf, B., Schuurmans, D. (eds.) Advances in Large Margin Classifiers, pp. 61-74 (2000)
    • (2000) Advances in Large Margin Classifiers , pp. 61-74
    • Piatt, J.1
  • 25
    • 0001224048 scopus 로고    scopus 로고
    • Sparse bayesian learning and the relevance vector machine
    • Tipping, M.E.: Sparse bayesian learning and the relevance vector machine. Journal of Machine Learning Research 1, 211-244 (2001)
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 26
    • 14544299611 scopus 로고    scopus 로고
    • On learning vector-valued functions
    • Micchelli, C.A., Pontil, M.A.: On learning vector-valued functions. Neural Computation 17(1), 177-204 (2005)
    • (2005) Neural Computation , vol.17 , Issue.1 , pp. 177-204
    • Micchelli, C.A.1    Pontil, M.A.2
  • 30
    • 36348977424 scopus 로고    scopus 로고
    • Humaneva: Synchronized video and motion capture dataset for evaluation of articulated human motion
    • Technical Report CS-06-08, Brown Univ
    • Sigal, L., Black, M.J.: Humaneva: Synchronized video and motion capture dataset for evaluation of articulated human motion. Technical Report CS-06-08, Brown Univ. (2006), http://vision.cs.brown.edu/humaneva/
    • (2006)
    • Sigal, L.1    Black, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.