-
2
-
-
84956626439
-
Utd-mhad: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor
-
C. Chen, R. Jafari, and N. Kehtarnavaz. Utd-mhad: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor. In Image Processing (ICIP), 2015 IEEE International Conference on, pages 168-172, 2015.
-
(2015)
Image Processing (ICIP), 2015 IEEE International Conference on
, pp. 168-172
-
-
Chen, C.1
Jafari, R.2
Kehtarnavaz, N.3
-
5
-
-
84896063976
-
Histogram of oriented displacements (HOD): Describing trajectories of human joints for action recognition
-
M. A. Gowayyed, M. Torki, M. E. Hussein, and M. El-Saban. Histogram of oriented displacements (HOD): Describing trajectories of human joints for action recognition. In Proc. International Joint Conference on Artificial Intelligence (IJCAI), pages 1351-1357, 2013.
-
(2013)
Proc. International Joint Conference on Artificial Intelligence (IJCAI)
, pp. 1351-1357
-
-
Gowayyed, M.A.1
Torki, M.2
Hussein, M.E.3
El-Saban, M.4
-
6
-
-
84896061825
-
Human action recognition using a temporal hierarchy of covariance descriptors on 3D joint locations
-
M. E. Hussein, M. Torki, M. A. Gowayyed, and M. El-Saban. Human action recognition using a temporal hierarchy of covariance descriptors on 3D joint locations. In Proc. International Joint Conference on Artificial Intelligence (IJCAI), pages 2466-2472, 2013.
-
(2013)
Proc. International Joint Conference on Artificial Intelligence (IJCAI)
, pp. 2466-2472
-
-
Hussein, M.E.1
Torki, M.2
Gowayyed, M.A.3
El-Saban, M.4
-
7
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. B. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. In Proc. ACM international conference on Multimedia (ACM MM), pages 675-678, 2014.
-
(2014)
Proc. ACM International Conference on Multimedia (ACM MM)
, pp. 675-678
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.B.6
Guadarrama, S.7
Darrell, T.8
-
11
-
-
84951985479
-
A generative restricted boltzmann machine based method for high-dimensional motion data modeling
-
S. Nie, Z. Wang, and Q. Ji. A generative restricted boltzmann machine based method for high-dimensional motion data modeling. Computer Vision and Image Understanding, pages 14-22, 2015.
-
(2015)
Computer Vision and Image Understanding
, pp. 14-22
-
-
Nie, S.1
Wang, Z.2
Ji, Q.3
-
14
-
-
80052878786
-
Real-time human pose recognition in parts from single depth images
-
J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake. Real-time human pose recognition in parts from single depth images. In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1297-1304, 2011.
-
(2011)
Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 1297-1304
-
-
Shotton, J.1
Fitzgibbon, A.2
Cook, M.3
Sharp, T.4
Finocchio, M.5
Moore, R.6
Kipman, A.7
Blake, A.8
-
17
-
-
84866672692
-
Mining actionlet ensemble for action recognition with depth cameras
-
J. Wang, Z. Liu, Y. Wu, and J. Yuan. Mining actionlet ensemble for action recognition with depth cameras. In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1290-1297, 2012.
-
(2012)
Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 1290-1297
-
-
Wang, J.1
Liu, Z.2
Wu, Y.3
Yuan, J.4
-
18
-
-
84962878607
-
Convnets-based action recognition from depth maps through virtual cameras and pseudocoloring
-
P. Wang, W. Li, Z. Gao, C. Tang, J. Zhang, and P. O. Ogunbona. Convnets-based action recognition from depth maps through virtual cameras and pseudocoloring. In Proc. ACM international conference on Multimedia (ACM MM), pages 1119-1122, 2015.
-
(2015)
Proc. ACM International Conference on Multimedia (ACM MM)
, pp. 1119-1122
-
-
Wang, P.1
Li, W.2
Gao, Z.3
Tang, C.4
Zhang, J.5
Ogunbona, P.O.6
-
19
-
-
85026469900
-
Action recognition from depth maps using deep convolutional neural networks
-
P. Wang, W. Li, Z. Gao, J. Zhang, C. Tang, and P. Ogunbona. Action recognition from depth maps using deep convolutional neural networks. Human-Machine Systems, IEEE Transactions on, PP(99):1-12, 2015.
-
(2015)
Human-Machine Systems IEEE Transactions on
, vol.99
, pp. 1-12
-
-
Wang, P.1
Li, W.2
Gao, Z.3
Zhang, J.4
Tang, C.5
Ogunbona, P.6
-
20
-
-
84922566687
-
Mining mid-level features for action recognition based on effective skeleton representation
-
P. Wang, W. Li, P. Ogunbona, Z. Gao, and H. Zhang. Mining mid-level features for action recognition based on effective skeleton representation. In Proc. International Conference on Digital Image Computing: Techniques and Applications (DICTA), pages 1-8, 2014.
-
(2014)
Proc. International Conference on Digital Image Computing: Techniques and Applications (DICTA)
, pp. 1-8
-
-
Wang, P.1
Li, W.2
Ogunbona, P.3
Gao, Z.4
Zhang, H.5
-
21
-
-
84919911819
-
A hierarchical model based on latent dirichlet allocation for action recognition
-
IEEE
-
S. Yang, C. Yuan, W. Hu, and X. Ding. A hierarchical model based on latent dirichlet allocation for action recognition. In Pattern Recognition (ICPR), 2014 22nd International Conference on, pages 2613-2618. IEEE, 2014.
-
(2014)
Pattern Recognition (ICPR), 2014 22nd International Conference on
, pp. 2613-2618
-
-
Yang, S.1
Yuan, C.2
Hu, W.3
Ding, X.4
-
26
-
-
84994894914
-
RGB-D-based action recognition datasets: A survey
-
J. Zhang, W. Li, P. O. Ogunbona, P. Wang, and C. Tang. RGB-D-based action recognition datasets: A survey. Pattern Recognition, 60:86-105, 2016.
-
(2016)
Pattern Recognition
, vol.60
, pp. 86-105
-
-
Zhang, J.1
Li, W.2
Ogunbona, P.O.3
Wang, P.4
Tang, C.5
-
27
-
-
84922568989
-
Discriminative key pose extraction using extended lc-ksvd for action recognition
-
IEEE
-
L. Zhou, W. Li, Y. Zhang, P. Ogunbona, D. T. Nguyen, and H. Zhang. Discriminative key pose extraction using extended lc-ksvd for action recognition. In Proc. International Conference on Digital Image Computing: Techniques and Applications (DICTA), pages 1-8. IEEE, 2014.
-
(2014)
Proc. International Conference on Digital Image Computing: Techniques and Applications (DICTA)
, pp. 1-8
-
-
Zhou, L.1
Li, W.2
Zhang, Y.3
Ogunbona, P.4
Nguyen, D.T.5
Zhang, H.6
-
28
-
-
85007199276
-
Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks
-
W. Zhu, C. Lan, J. Xing, W. Zeng, Y. Li, L. Shen, and X. Xie. Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks. In The 30th AAAI Conference on Artificial Intelligence (AAAI), 2016.
-
(2016)
The 30th AAAI Conference on Artificial Intelligence (AAAI)
-
-
Zhu, W.1
Lan, C.2
Xing, J.3
Zeng, W.4
Li, Y.5
Shen, L.6
Xie, X.7
|