Human Action Recognition Using Transfer Learning with Spatio-Temporal Templates

[1] L. Chen, J. Hoey, C. D. Nugent, D. J. Cook, and Z. Yu, "Sensor-based activity recognition," IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 42, no. 6, pp. 790-808, 2012.

[2] H.-H. Phan, N.-S. Vu, V.-L. Nguyen, and M. Quoy, "Action recognition based on motion of oriented magnitude patterns and feature selection," IET Computer Vision, vol. 12, no. 5, pp. 735-743, 2018.

[3] A. Gaidon, Z. Harchaoui, and C. Schmid, "Activity representation with motion hierarchies," International journal of computer vision, vol. 107, no. 3, pp. 219-238, 2014.

[4] S. K. Dwivedi, V. Gupta, R. Mitra, S. Ahmed, and A. Jain, "ProtoGAN: Towards Few Shot Learning for Action Recognition," arXiv preprint arXiv:1909.07945, 2019.

[5] J. Cho, M. Lee, H. J. Chang, and S. Oh, "Robust action recognition using local motion and group sparsity," Pattern Recognition, vol. 47, no. 5, pp. 1813-1825, 2014.

[6] S. Sharma, R. Kiros, and R. Salakhutdinov, "Action recognition using visual attention," arXiv preprint arXiv:1511.04119, 2015.

[7] N. Souly and M. Shah, "Visual saliency detection using group lasso regularization in videos of natural scenes," International Journal of Computer Vision, vol. 117, no. 1, pp. 93-110, 2016.

[8] M. Saremi and F. Yaghmaee, "Efficient encoding of video descriptor distribution for action recognition," Multimedia Tools and Applications, vol. 79, no. 9, pp. 6025-6043, 2020.

[9] Y. Zhang, M. Ding, Y. Bai, D. Liu, and B. Ghanem, "Learning a strong detector for action localization in videos," Pattern Recognition Letters, vol. 128, pp. 407-413, 2019.

[10] J. Cong and B. Zhang, "Multi-model feature fusion for human action recognition towards sport sceneries," Signal Processing: Image Communication, p. 115803, 2020.

[11] S. Javanmardi, A. Latif, and V. Derhami, "Image Tag Completion by Applying SPFCM Clustering on the Features Learned by Deep Convolutional Neural Networks," TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 49, no. 1, pp. 111-123, 2019.

[12] A. Sezavar, H. Farsi, and S. Mohamadzadeh, "Content-Based Image Retrieval using Deep Convolutional Neural Networks," TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 48, no. 4, pp. 1595-1603, 2019.

[13] J. Han and B. Bhanu, "Statistical feature fusion for gait-based human recognition," in Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004, vol. 2: IEEE, pp. II-II.

[14] S. Ji, W. Xu, M. Yang, and K. Yu, "3D convolutional neural networks for human action recognition," IEEE transactions on pattern analysis and machine intelligence, vol. 35, no. 1, pp. 221-231, 2012.

[15] S. Ramasinghe and R. Rodrigo, "Action recognition by single stream convolutional neural networks: An approach using combined motion and static information," in 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 2015: IEEE, pp. 101-105, 2015.

[16] Y. Zhou, N. Pu, L. Qian, S. Wu, and G. Xiao, "Human Action Recognition in Videos of Realistic Scenes Based on Multi-scale CNN Feature," in Pacific Rim Conference on Multimedia, 2017: Springer, pp. 316-326.

[17] A. Ullah, J. Ahmad, K. Muhammad, M. Sajjad, and S. W. Baik, "Action recognition in video sequences using deep bi-directional LSTM with CNN features," IEEE Access, vol. 6, pp. 1155-1166, 2017.

[18] L. Wang, Y. Xu, J. Cheng, H. Xia, J. Yin, and J. Wu, "Human action recognition by learning spatio-temporal features with deep neural networks," IEEE access, vol. 6, pp. 17913-17922, 2018.

[19] J. Wei, H. Wang, Y. Yi, Q. Li, and D. Huang, "P3d-ctn: Pseudo-3d convolutional tube network for spatio-temporal action detection in videos," in 2019 IEEE International Conference on Image Processing (ICIP), 2019: IEEE, pp. 300-304.

[20] H. Ge, Z. Yan, W. Yu, and L. Sun, "An attention mechanism based convolutional LSTM network for video action recognition," Multimedia Tools and Applications, vol. 78, no. 14, pp. 20533-20556, 2019.

[21] A. Zare, H. A. Moghaddam, and A. Sharifi, "Video spatiotemporal mapping for human action recognition by convolutional neural network," Pattern Analysis and Applications, vol. 23, no. 1, pp. 265-279, 2020.

[22]    H. Wang, A. Kläser, C. Schmid, and C.-L. Liu, "Action recognition by dense trajectories," in CVPR IEEE 2011, pp. 3169-3176, , 2011.

[23] W. Zhu et al., "Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks," arXiv preprint arXiv:1603.07772, 2016.

[24] H. Rahmani, D. Q. Huynh, A. Mahmood, and A. Mian, "Discriminative human action classification using locality-constrained linear coding," Pattern recognition letters, vol. 72, pp. 62-71, 2016.

[25] A. A. Efros, A. C. Berg, G. Mori, and J. Malik, "Recognizing action at a distance," in null, 2003, p. 726: IEEE.

[26] E. Shechtman and M. Irani, "Space-time behavior based correlation," in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005, vol. 1, pp. 405-412: IEEE.

[27]    H. J. Seo and P. Milanfar, "Action recognition from one example," IEEE transactions on pattern analysis and machine intelligence, vol. 33, no. 5, pp. 867-882, 2010.

[28] K. Soomro and A. R. Zamir, "Action recognition in realistic sports videos," in Computer vision in sports: Springer, 2014, pp. 181-208.

[29] J. Liu, J. Luo, and M. Shah, "Recognizing realistic actions from videos “in the wild”," in 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009: IEEE, pp. 1996-2003.

[30] J. C. Niebles, C.-W. Chen, and L. Fei-Fei, "Modeling temporal structure of decomposable motion segments for activity classification," in European conference on computer vision, 2010: Springer, pp. 392-405.