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Volumn , Issue , 2017, Pages

Action recognition with skeletal volume and deep learning;İskelet Hacmi ve Derin Öǧrenme ile Hareket Tanima

Author keywords

Action recognition; deep learning; feature selection; RGBD data; SVM

Indexed keywords

EDUCATION; FEATURE EXTRACTION; HUMAN COMPUTER INTERACTION; IMAGE PROCESSING; IMAGE RECOGNITION; MOTION ESTIMATION; SIGNAL PROCESSING;

EID: 85026303734     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIU.2017.7960280     Document Type: Conference Paper
Times cited : (6)

References (29)
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    • Al Ghamdi, M.1    Zhang, L.2    Gotoh, Y.3
  • 7
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    • A surf-based spatio-temporal feature for feature-fusion-based action recognition
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    • Noguchi, A.1    Yanai, K.2
  • 17
    • 84911438024 scopus 로고    scopus 로고
    • Leveraging hierarchical parametric networks for skeletal joints based action segmentation and recognition
    • D. Wu and L. Shao, "Leveraging hierarchical parametric networks for skeletal joints based action segmentation and recognition," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 724-731
    • (2014) Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pp. 724-731
    • Wu, D.1    Shao, L.2
  • 24
    • 84919881041 scopus 로고    scopus 로고
    • DeCAF: A deep convolutional activation feature for generic visual recognition
    • J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, et al., "DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition," in ICML, 2014, pp. 647-655
    • (2014) ICML , pp. 647-655
    • Donahue, J.1    Jia, Y.2    Vinyals, O.3    Hoffman, J.4    Zhang, N.5    Tzeng, E.6
  • 28
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    • Spatio-temporal feature extraction and representation for RGB-D human action recognition
    • J. Luo, W. Wang, and H. Qi, "Spatio-temporal feature extraction and representation for RGB-D human action recognition," Pattern Recognition Letters, vol. 50, pp. 139-148, 2014
    • (2014) Pattern Recognition Letters , vol.50 , pp. 139-148
    • Luo, J.1    Wang, W.2    Qi, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.