-
1
-
-
80052878786
-
Real-time human pose recognition in parts from single depth images
-
Jun.
-
J. Shotton et al., "Real-time human pose recognition in parts from single depth images," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2011, pp. 1297-1304.
-
(2011)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 1297-1304
-
-
Shotton, J.1
-
3
-
-
84866672692
-
Mining actionlet ensemble for action recognition with depth cameras
-
Jun.
-
J. Wang, Z. Liu, Y. Wu, and J. Yuan, "Mining actionlet ensemble for action recognition with depth cameras," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2012, pp. 1290-1297.
-
(2012)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 1290-1297
-
-
Wang, J.1
Liu, Z.2
Wu, Y.3
Yuan, J.4
-
4
-
-
84865033379
-
View invariant human action recognition using histograms of 3D joints
-
Jun.
-
L. Xia, C.-C. Chen, and J. K. Aggarwal, "View invariant human action recognition using histograms of 3D joints," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. Workshops, Jun. 2012, pp. 20-27.
-
(2012)
Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. Workshops
, pp. 20-27
-
-
Xia, L.1
Chen, C.-C.2
Aggarwal, J.K.3
-
5
-
-
84898773205
-
The moving pose: An efficient 3D kinematics descriptor for low-latency action recognition and detection
-
Dec.
-
M. Zanfir, M. Leordeanu, and C. Sminchisescu, "The moving pose: An efficient 3D kinematics descriptor for low-latency action recognition and detection," in Proc. IEEE Int. Conf. Comput. Vis., Dec. 2013, pp. 2752-2759.
-
(2013)
Proc. IEEE Int. Conf. Comput. Vis.
, pp. 2752-2759
-
-
Zanfir, M.1
Leordeanu, M.2
Sminchisescu, C.3
-
6
-
-
84887309601
-
A new descriptor for multiple 3D motion trajectories recognition
-
May
-
Z. Shao and Y. F. Li, "A new descriptor for multiple 3D motion trajectories recognition," in Proc. IEEE Int. Conf. Robot. Autom., May 2013, pp. 4749-4754.
-
(2013)
Proc. IEEE Int. Conf. Robot. Autom.
, pp. 4749-4754
-
-
Shao, Z.1
Li, Y.F.2
-
7
-
-
84896063976
-
Histogram of oriented displacements (HOD): Describing trajectories of human joints for action recognition
-
Aug.
-
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. Int. Joint Conf. Artif. Intell., Aug. 2013, pp. 1351-1357.
-
(2013)
Proc. Int. Joint Conf. Artif. Intell.
, pp. 1351-1357
-
-
Gowayyed, M.A.1
Torki, M.2
Hussein, M.E.3
El-Saban, M.4
-
8
-
-
84884947071
-
Bioinspired dynamic 3D discriminative skeletal features for human action recognition
-
Jun.
-
R. Chaudhry, F. Ofli, G. Kurillo, R. Bajcsy, and R. Vidal, "Bioinspired dynamic 3D discriminative skeletal features for human action recognition," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. Workshops, Jun. 2013, pp. 471-478.
-
(2013)
Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. Workshops
, pp. 471-478
-
-
Chaudhry, R.1
Ofli, F.2
Kurillo, G.3
Bajcsy, R.4
Vidal, R.5
-
9
-
-
84891625198
-
Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition
-
F. Ofli, R. Chaudhry, G. Kurillo, R. Vidal, and R. Bajcsy, "Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition," J. Vis. Commun. Image Represent., vol. 25, no. 1, pp. 24-38, 2014.
-
(2014)
J. Vis. Commun. Image Represent.
, vol.25
, Issue.1
, pp. 24-38
-
-
Ofli, F.1
Chaudhry, R.2
Kurillo, G.3
Vidal, R.4
Bajcsy, R.5
-
10
-
-
84911376484
-
Human action recognition by representing 3D skeletons as points in a Lie group
-
Jun.
-
R. Vemulapalli, F. Arrate, and R. Chellappa, "Human action recognition by representing 3D skeletons as points in a Lie group," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2014, pp. 588-595.
-
(2014)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 588-595
-
-
Vemulapalli, R.1
Arrate, F.2
Chellappa, R.3
-
11
-
-
84922566687
-
Mining mid-level features for action recognition based on effective skeleton representation
-
Nov.
-
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. Int. Conf. Digit. Image Comput., Techn., Appl., Nov. 2014, pp. 1-8.
-
(2014)
Proc. Int. Conf. Digit. Image Comput., Techn., Appl.
, pp. 1-8
-
-
Wang, P.1
Li, W.2
Ogunbona, P.3
Gao, Z.4
Zhang, H.5
-
12
-
-
84963976003
-
R3DG features: Relative 3D geometry-based skeletal representations for human action recognition
-
Nov.
-
R. Vemulapalli, F. Arrate, and R. Chellappa, "R3DG features: Relative 3D geometry-based skeletal representations for human action recognition," Comput. Vis. Image Understand., vol. 152, pp. 155-166, Nov. 2016.
-
(2016)
Comput. Vis. Image Understand.
, vol.152
, pp. 155-166
-
-
Vemulapalli, R.1
Arrate, F.2
Chellappa, R.3
-
14
-
-
84962878607
-
Convnets-based action recognition from depth maps through virtual cameras and pseudocoloring
-
Oct.
-
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 Int. Conf. Multimedia, Oct. 2015, pp. 1119-1122.
-
(2015)
Proc. ACM Int. Conf. Multimedia
, pp. 1119-1122
-
-
Wang, P.1
Li, W.2
Gao, Z.3
Tang, C.4
Zhang, J.5
Ogunbona, P.O.6
-
15
-
-
84949997012
-
Action recognition from depth maps using deep convolutional neural networks
-
Aug.
-
P. Wang, W. Li, Z. Gao, J. Zhang, C. Tang, and P. O. Ogunbona, "Action recognition from depth maps using deep convolutional neural networks," IEEE Trans. Human-Mach. Syst., vol. 46, no. 4, pp. 498-509, Aug. 2016.
-
(2016)
IEEE Trans. Human-Mach. Syst.
, vol.46
, Issue.4
, pp. 498-509
-
-
Wang, P.1
Li, W.2
Gao, Z.3
Zhang, J.4
Tang, C.5
Ogunbona, P.O.6
-
16
-
-
84959217041
-
Hierarchical recurrent neural network for skeleton based action recognition
-
Jun.
-
Y. Du, W. Wang, and L. Wang, "Hierarchical recurrent neural network for skeleton based action recognition," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2015, pp. 1110-1118.
-
(2015)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 1110-1118
-
-
Du, Y.1
Wang, W.2
Wang, L.3
-
17
-
-
84973920651
-
Differential recurrent neural networks for action recognition
-
Dec.
-
V. Veeriah, N. Zhuang, and G.-J. Qi, "Differential recurrent neural networks for action recognition," in Proc. IEEE Int. Conf. Comput. Vis., Dec. 2015, pp. 4041-4049.
-
(2015)
Proc. IEEE Int. Conf. Comput. Vis.
, pp. 4041-4049
-
-
Veeriah, V.1
Zhuang, N.2
Qi, G.-J.3
-
18
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," in Proc. Annu. Conf. Neural Inf. Process. Syst., 2012, pp. 1106-1114.
-
(2012)
Proc. Annu. Conf. Neural Inf. Process. Syst.
, pp. 1106-1114
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
19
-
-
84862069071
-
Instructing people for training gestural interactive systems
-
S. Fothergill, H. Mentis, P. Kohli, and S. Nowozin, "Instructing people for training gestural interactive systems," in Proc. ACM Conf. Comput.-Human Interact., 2012, pp. 1737-1746.
-
(2012)
Proc. ACM Conf. Comput.-Human Interact.
, pp. 1737-1746
-
-
Fothergill, S.1
Mentis, H.2
Kohli, P.3
Nowozin, S.4
-
20
-
-
84864999742
-
G3D: A gaming action dataset and real time action recognition evaluation framework
-
Jun.
-
V. Bloom, D. Makris, and V. Argyriou, "G3D: A gaming action dataset and real time action recognition evaluation framework," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. Workshops, Jun. 2012, pp. 7-12.
-
(2012)
Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. Workshops
, pp. 7-12
-
-
Bloom, V.1
Makris, D.2
Argyriou, V.3
-
21
-
-
84956626439
-
UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor
-
Sep.
-
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 Proc. IEEE Int. Conf. Image Process., Sep. 2015, pp. 168-172.
-
(2015)
Proc. IEEE Int. Conf. Image Process.
, pp. 168-172
-
-
Chen, C.1
Jafari, R.2
Kehtarnavaz, N.3
-
22
-
-
84994894914
-
RGB-D-based action recognition datasets: A survey
-
Dec.
-
J. Zhang, W. Li, P. O. Ogunbona, P. Wang, and C. Tang, "RGB-D-based action recognition datasets: A survey," Pattern Recognit., vol. 60, pp. 86-105, Dec. 2016.
-
(2016)
Pattern Recognit.
, vol.60
, pp. 86-105
-
-
Zhang, J.1
Li, W.2
Ogunbona, P.O.3
Wang, P.4
Tang, C.5
-
23
-
-
84919911819
-
A hierarchical model based on latent Dirichlet allocation for action recognition
-
Aug.
-
S. Yang, C. Yuan, W. Hu, and X. Ding, "A hierarchical model based on latent Dirichlet allocation for action recognition," in Proc. 22nd Int. Conf. Pattern Recognit., Aug. 2014, pp. 2613-2618.
-
(2014)
Proc. 22nd Int. Conf. Pattern Recognit.
, pp. 2613-2618
-
-
Yang, S.1
Yuan, C.2
Hu, W.3
Ding, X.4
-
24
-
-
84922568989
-
Discriminative key pose extraction using extended LC-KSVD for action recognition
-
Nov.
-
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. Int. Conf. Digit. Image Comput., Techn. Appl., Nov. 2014, pp. 1-8.
-
(2014)
Proc. Int. Conf. Digit. Image Comput., Techn. Appl.
, pp. 1-8
-
-
Zhou, L.1
Li, W.2
Zhang, Y.3
Ogunbona, P.4
Nguyen, D.T.5
Zhang, H.6
-
25
-
-
84896061825
-
Human action recognition using a temporal hierarchy of covariance descriptors on 3D joint locations
-
Aug.
-
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. Int. Joint Conf. Artif. Intell., Aug. 2013, pp. 2466-2472.
-
(2013)
Proc. Int. Joint Conf. Artif. Intell.
, pp. 2466-2472
-
-
Hussein, M.E.1
Torki, M.2
Gowayyed, M.A.3
El-Saban, M.4
-
26
-
-
84951985479
-
A generative restricted Boltzmann machine based method for high-dimensional motion data modeling
-
Jul.
-
S. Nie, Z. Wang, and Q. Ji, "A generative restricted Boltzmann machine based method for high-dimensional motion data modeling," Comput. Vis. Image Understand., vol. 136, pp. 14-22, Jul. 2015.
-
(2015)
Comput. Vis. Image Understand.
, vol.136
, pp. 14-22
-
-
Nie, S.1
Wang, Z.2
Ji, Q.3
|