• Laser & Optoelectronics Progress
  • Vol. 55, Issue 2, 021002 (2018)
Haiyang Xu1, Jun Kong1、2、*, and Min Jiang1
Author Affiliations
  • 1 School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
  • 2 College of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830047, China
  • show less
    DOI: 10.3788/LOP55.021002 Cite this Article Set citation alerts
    Haiyang Xu, Jun Kong, Min Jiang. Human Action Recognition Based on Quaternion 3D Skeleton Representation[J]. Laser & Optoelectronics Progress, 2018, 55(2): 021002 Copy Citation Text show less
    References

    [3] Zhang X G, Liu C X, Zuo J Q. Small scale crowd behavior recognition based on causal network analysis[J]. Acta Optica Sinica, 35, 0815001(2015).

    [4] Cai J X, Feng G C, Tang X et al. Human action recognition based on local image contour and random forest[J]. Acta Optica Sinica, 34, 1015006(2014).

    [5] Cai J X, Feng G C, Tang X et al. Human action recognition by leaning pose dictionary[J]. Acta Optica Sinica, 34, 1215002(2014).

    [6] Johansson G. Visualperception of biological motion and a model for its analysis[J]. Perception Psychophysics, 14, 201-211(1973). http://link.springer.com/article/10.3758/BF03212378

    [7] Luvizon D C, Tabia H, Picard D. Learning features combination for human action recognition from skeleton sequences[J]. Pattern Recognition Letters, 99, 13-20(2017). http://www.sciencedirect.com/science/article/pii/S0167865517300326

    [8] Mahasseni B, Todorovic S. Regularizing long short term memory with 3D human-skeleton sequences for action recognition[C]. Computer Vision and Pattern Recognition, IEEE, 3054-3062(2016).

    [9] Yacoob Y, Black M J. Parameterized modeling and recognition of activities[J]. Computer Vision and Image Understanding, 73, 232-247(1999). http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=710709

    [10] Li M, Leung H. Graph-based approach for 3D human skeletal action recognition[J]. Pattern Recognition Letters, 87, 195-202(2017). http://www.sciencedirect.com/science/article/pii/S0167865516301830

    [11] Li Y H, Zhu S A, Zhu L. Quaternion principal component analysis algorithm for face recognition[J]. Journal of Signal Processing, 23, 214-216(2007).

    [12] Xu Y. Quaternion-based discriminant analysis method for color face recognition[J]. Plos One, 7, e43493(2012). http://europepmc.org/articles/PMC3427380/

    [14] Kong D H, Wang L C, Zheng C Y[J]. A key frame interpolation method enhancing motion details of skeletal animation Journal of Beijing University of Technology, 2011, 1255-1261.

    [15] Xiao S B. The method of quaternion and its application[J]. Advances in Mechanics, 23, 249-260(1993).

    [16] Wang J, Liu Z, Wu Y et al. Mining actionlet ensemble for action recognition with depth cameras[C]. IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, 1290-1297(2012).

    [17] Vemulapalli R, Arrate F, Chellappa R. Human action recognition by representing 3D skeletons as points in a lie group[C]. IEEE Conference on Computer Vision and Pattern Recognition, 588-595(2014).

    [18] Müller M. Information retrieval for music and motion[M]. New York: Springer Verlag(2007).

    [19] Li W, Zhang Z, Liu Z. Action recognition based on a bag of 3D points[C]. Computer Vision and Pattern Recognition Workshops, IEEE, 9-14(2010).

    [20] Seidenari L, Varano V, Berretti S et al. Recognizing actions from depth cameras as weakly aligned multi-part bag-of-poses[C]. 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 479-485(2013).

    [21] Zhu Y, Chen W, Guo G. Fusing spatiotemporal features and joints for 3D action recognition[C]. IEEE Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, 486-491(2013).

    [22] Slama R, Daoudi M, Daoudi M et al. Accurate 3D action recognition using learning on the Grassmann manifold[J]. Pattern Recognition, 48, 556-567(2015). http://www.sciencedirect.com/science/article/pii/S0031320314003252

    [23] Ben A B, Su J, Srivastava A. Action recognition using rate-invariant analysis of skeletal shape trajectories[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 38, 1-13(2016). http://ieeexplore.ieee.org/document/7115162/

    [24] Ding W, Liu K, Cheng F et al. Learning hierarchical spatio-temporal pattern for human activity prediction[J]. Journal of Visual Communication & Image Representation, 35, 103-111(2016). http://dl.acm.org/citation.cfm?id=2896017

    [25] Devanne M, Wannous H, Berretti S et al. 3-D human action recognition by shape analysis of motion trajectories on Riemannian manifold[J]. IEEE Transactions on Cybernetics, 45, 1340-1352(2015). http://europepmc.org/abstract/med/25216492

    CLP Journals

    [1] Fuqun Zhao, Guohua Geng. Fracture Surface Matching Method for Terracotta Based on Feature Points[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041005

    Haiyang Xu, Jun Kong, Min Jiang. Human Action Recognition Based on Quaternion 3D Skeleton Representation[J]. Laser & Optoelectronics Progress, 2018, 55(2): 021002
    Download Citation