메뉴 건너뛰기




Volumn 93, Issue 6, 2013, Pages 1521-1530

Human action recognition based on boosted feature selection and naive Bayes nearest-neighbor classification

Author keywords

AdaBoost; Feature selection; Naive Bayes nearest neighbor classifier

Indexed keywords

ACTION RECOGNITION; ADABOOST ALGORITHM; HUMAN-ACTION RECOGNITION; NEAREST NEIGHBOR CLASSIFIERS; NEAREST-NEIGHBOR CLASSIFICATIONS; NEAREST-NEIGHBORS; SPATIO-TEMPORAL INTEREST POINTS; VIDEO SEQUENCES;

EID: 84875269302     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2012.07.017     Document Type: Article
Times cited : (38)

References (56)
  • 1
    • 78650910192 scopus 로고    scopus 로고
    • Efficient HOG human detection
    • Y. Pang, Y. Yuan, X. Li, and J. Pan Efficient HOG human detection Signal Processing 91 4 2011 773 781
    • (2011) Signal Processing , vol.91 , Issue.4 , pp. 773-781
    • Pang, Y.1    Yuan, Y.2    Li, X.3    Pan, J.4
  • 2
    • 80755153067 scopus 로고    scopus 로고
    • Gait recognition using pose kinematics and pose energy image
    • A. Roy, S. Sural, and J. Mukherjee Gait recognition using pose kinematics and pose energy image Signal Processing 92 3 2012 780 792
    • (2012) Signal Processing , vol.92 , Issue.3 , pp. 780-792
    • Roy, A.1    Sural, S.2    Mukherjee, J.3
  • 4
    • 0003959663 scopus 로고    scopus 로고
    • Recognizing movement using motion histograms
    • MIT Media Lab
    • J.W. Davis, Recognizing movement using motion histograms, Technical Report 487, MIT Media Lab., 1999.
    • (1999) Technical Report 487
    • Davis, J.W.1
  • 6
    • 84962749812 scopus 로고    scopus 로고
    • Hierarchical motion history images for recognizing human motion
    • Vancouver, Canada
    • J.W. Davis, Hierarchical motion history images for recognizing human motion, in: Detection and Recognition of Events in Video, Vancouver, Canada, 2001, pp. 39-46.
    • (2001) Detection and Recognition of Events in Video , pp. 39-46
    • Davis, J.W.1
  • 7
    • 33745834282 scopus 로고    scopus 로고
    • Recognition and segmentation of 3-D human action using HMM and multi-class AdaBoost
    • Graz, Austria
    • F. Lv, R. Nevatia, Recognition and segmentation of 3-D human action using HMM and multi-class AdaBoost, in: European Conference on Computer Vision (ECCV 2006), Graz, Austria, 2006, pp. 359-372.
    • (2006) European Conference on Computer Vision (ECCV 2006) , pp. 359-372
    • Lv, F.1    Nevatia, R.2
  • 11
    • 45049084813 scopus 로고    scopus 로고
    • Unsupervised learning of human action categories using spatial-temporal words
    • J.C. Niebles, H. Wang, and L. Fei-Fei Unsupervised learning of human action categories using spatial-temporal words International Journal of Computer Vision 79 3 2008 299 318
    • (2008) International Journal of Computer Vision , vol.79 , Issue.3 , pp. 299-318
    • Niebles, J.C.1    Wang, H.2    Fei-Fei, L.3
  • 12
    • 84870276621 scopus 로고    scopus 로고
    • Hierarchical relational models for document networks
    • J. Chang, and D. Blei Hierarchical relational models for document networks Annals of Applied Statistics 4 1 2010 124 150
    • (2010) Annals of Applied Statistics , vol.4 , Issue.1 , pp. 124-150
    • Chang, J.1    Blei, D.2
  • 24
    • 61749090884 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • K. Weinberger, and L. Saul Distance metric learning for large margin nearest neighbor classification Journal of Machine Learning Research 10 2009 207 244
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 207-244
    • Weinberger, K.1    Saul, L.2
  • 25
    • 78149293273 scopus 로고    scopus 로고
    • The quadratic-chi histogram distance family
    • Crete, Greece
    • O. Pele, M. Werman, The quadratic-chi histogram distance family, in: European Conference on Computer Vision, Crete, Greece, 2010, pp. 749-762.
    • (2010) European Conference on Computer Vision , pp. 749-762
    • Pele, O.1    Werman, M.2
  • 34
    • 0037806811 scopus 로고    scopus 로고
    • The boosting approach to machine learning: An overview
    • D.D. Denison, M.H. Hansen, C. Holmes, B. Mallick, B. Yu (Eds.) Springer
    • R.E. Schapire, The boosting approach to machine learning: an overview, in: D.D. Denison, M.H. Hansen, C. Holmes, B. Mallick, B. Yu (Eds.), Nonlinear Estimation and Classification, Lecture Notes in Statistics, Springer, 2003.
    • (2003) Nonlinear Estimation and Classification, Lecture Notes in Statistics
    • Schapire, R.E.1
  • 35
    • 63449136395 scopus 로고    scopus 로고
    • Facial expression recognition based on local binary patterns a comprehensive study
    • C. Shan, S. Gong, and P.W. McOwan Facial expression recognition based on local binary patterns a comprehensive study Image and Vision Computing 27 6 2009 803 816
    • (2009) Image and Vision Computing , vol.27 , Issue.6 , pp. 803-816
    • Shan, C.1    Gong, S.2    McOwan, P.W.3
  • 38
    • 4344681043 scopus 로고    scopus 로고
    • Combining AdaBoost learning and evolutionary search to select features for real-time object detection
    • Portland, OR
    • A. Treptow, A. Zell, Combining AdaBoost learning and evolutionary search to select features for real-time object detection, in: Congress on Evolutionary Computation (CEC2004), Portland, OR, 2004, pp. 2107-2113.
    • (2004) Congress on Evolutionary Computation (CEC2004) , pp. 2107-2113
    • Treptow, A.1    Zell, A.2
  • 50
    • 4544361486 scopus 로고    scopus 로고
    • Ph.D. Thesis, Department of Electronics and Computer Science, University of Southampton, Southampton, UK
    • A. Bailey, Class-dependent Features and Multicategory Classification, Ph.D. Thesis, Department of Electronics and Computer Science, University of Southampton, Southampton, UK, 2001.
    • (2001) Class-dependent Features and Multicategory Classification
    • Bailey, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.