• Opto-Electronic Engineering
  • Vol. 48, Issue 2, 200099 (2021)
Li Guoyou, Li Chenguang*, Wang Weijiang, Yang Mengqi, and Hang Bingpeng
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.12086/oee.2021.200099 Cite this Article
    Li Guoyou, Li Chenguang, Wang Weijiang, Yang Mengqi, Hang Bingpeng. Research on multi-feature human pose model recognition based on one-shot learning[J]. Opto-Electronic Engineering, 2021, 48(2): 200099 Copy Citation Text show less
    References

    [1] Henry P, Krainin M, Herbst E, et al. RGB-D mapping: using Kinect-style depth cameras for dense 3D modeling of indoor environments[J]. Int J Rob Res, 2012, 31(5): 647–663.

    [3] Shotton J, Sharp T, Kipman A, et al. Real-time human pose recognition in parts from single depth images[J]. Commun ACM, 2013, 56(1): 116–124.

    [6] Cao Z, Simon T, Wei S E, et al. Realtime multi-person 2D pose estimation using part affinity fields[C]//Conference on Computer Vision and Pattern Recognition(CVPR), 2017: 7291–7299.

    [7] Pfitscher M, Welfer D, Evaristo José Do Nascimento, et al. Arti-cle Users Activity Gesture Recognition on Kinect Sensor Using Convolutional Neural Networks and FastDTW for Controlling Movements of a Mobile Robot[J]. Inteligencia Artificial Revista Iberoamericana de Inteligencia Artificial, 2019, 22(63): 121–134.

    [9] Xu W Y, Wu M Q,Zhao M, et al. Human action recognition using multilevel depth motion maps[J]. IEEE Access, 2019, 7: 41811–41822.

    [10] Vinyals O, Blundell C, Lillicrap T, et al. Matching networks for one shot learning[C]//Proceedings of the 30th International Conference on Neural Information Processing Systems, 2016: 3637–3645.

    [14] Monir S, Rubya S, Ferdous H S. Rotation and scale invariant posture recognition using Microsoft Kinect skeletal tracking fea-ture[C]//2012 12th International Conference on Intelligent Sys-tems Design and Applications (ISDA), 2012: 829–842.

    [16] Wang P,Liu LQ, Shen CH, et al. Multi-attention network for one shot learning[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017: 2721–2729.

    [17] Yang Y, Saleemi I, Shah M. Discovering motion primitives for unsupervised grouping and one-shot learning of human actions, gestures, and expressions[J]. IEEE Trans Pattern Anal Mach Intell, 2013, 35(7): 1635–1648.

    [18] Sundermeyer M, Alkhouli T, Wuebker J, et al. Translation mod-eling with bidirectional recurrent neural net-works[C]//Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014: 14–25.

    [19] Cheng X L, He M Y, Duan W J. Machine vision based physical fitness measurement with human posture recognition and skel-etal data smoothing[C]//2017 International Conference on Or-ange Technologies (ICOT), 2017: 323–342.

    [20] Li Q M, Lin W X, Li J. Human activity recognition using dynamic representation and matching of skeleton feature sequences from RGB-D images[J]. Signal Process Image Commun, 2018, 68: 265–272.

    [21] Zhang Z Q, Liu Y N, Li A, et al. A novel method for user-defined human posture recognition using Kinect[C]//2014 7th Interna-tional Congress on Image and Signal Processing, 2014: 724–739.

    [22] Sagayam K M, Hemanth D J. Hand posture and gesture recog-nition techniques for virtual reality applications: a survey[J]. Vir-tual Real, 2017, 21(2): 91–107.

    [23] Stephenson R M, Chai R, Eager D. Isometric finger pose recognition with sparse channel SpatioTemporal EMG imag-ing[J]. Annu Int Conf IEEE Eng Med Biol Soc, 2018, 2018: 5232–5235.

    [24] Vishwakarma D K, Singh T. A visual cognizance based mul-ti-resolution descriptor for human action recognition using key pose[J]. AEU-Int J Electron Commun, 2019, 107: 157–169.

    [25] Liu X X,FengXY, Pan S J, et al. Skeleton tracking based on Kinect camera and the application in virtual reality sys-tem[C]//Proceedings of the 4th International Conference on Vir-tual Reality, 2018: 21–25.

    [26] Bulbul M F, Islam S, Ail H. 3D human action analysis and recognition through GLAC descriptor on 2D motion and static posture images[J]. Multimed Tools Appl, 2019, 78(15): 21085–21111.

    [27] Agahian S, Negin F, K.se C. An efficient human action recogni-tion framework with pose-based spatiotemporal features[J]. Eng Sci Technol, 2020, 23(1): 196–203.

    Li Guoyou, Li Chenguang, Wang Weijiang, Yang Mengqi, Hang Bingpeng. Research on multi-feature human pose model recognition based on one-shot learning[J]. Opto-Electronic Engineering, 2021, 48(2): 200099
    Download Citation