-
1
-
-
34648839288
-
Hyperfeatures-multilevel local coding for visual recognition
-
2
-
A. Agarwal and B. Triggs. Hyperfeatures-multilevel local coding for visual recognition. In ECCV, 2006. 2
-
(2006)
ECCV
-
-
Agarwal, A.1
Triggs, B.2
-
2
-
-
84898422360
-
A probabilistic framework for recognizing similar actions using spatio-temporal features
-
2
-
I. R. Alonso Patron-perez. A probabilistic framework for recognizing similar actions using spatio-temporal features. In BMVC, 2007. 2
-
(2007)
BMVC
-
-
Alonso Patron-Perez, I.R.1
-
4
-
-
33846622081
-
Behavior recognition via sparse spatio-temporal features
-
1, 3, 6
-
P. Dollár, V. Rabaud, G. Cottrell, and S. Belongie. Behavior recognition via sparse spatio-temporal features. In Proc. 2nd Joint IEEE Int Visual Surveillance and Performance Evaluation of Tracking and Surveillance Workshop, pages 65-72, 2005. 1, 3, 6
-
(2005)
Proc. 2nd Joint IEEE Int Visual Surveillance and Performance Evaluation of Tracking and Surveillance Workshop
, pp. 65-72
-
-
Dollár, P.1
Rabaud, V.2
Cottrell, G.3
Belongie, S.4
-
5
-
-
51949101231
-
A discriminatively trained, multiscale, deformable part model
-
2
-
P. Felzenszwalb, D. McAllester, and D. Ramanan. A discriminatively trained, multiscale, deformable part model. In CVPR, pages 1-8, 2008. 2
-
(2008)
CVPR
, pp. 1-8
-
-
Felzenszwalb, P.1
McAllester, D.2
Ramanan, D.3
-
6
-
-
84867849524
-
Trajectory-based modeling of human actions with motion reference points
-
7
-
Y.-G. Jiang, Q. Dai, X. Xue, W. Liu, and C.-W. Ngo. Trajectory-based modeling of human actions with motion reference points. In ECCV, pages 425-438, 2012. 7
-
(2012)
ECCV
, pp. 425-438
-
-
Jiang, Y.-G.1
Dai, Q.2
Xue, X.3
Liu, W.4
Ngo, C.-W.5
-
7
-
-
33745943239
-
Efficient visual event detection using volumetric features
-
2, 3
-
Y. Ke, R. Sukthankar, and M. Hebert. Efficient visual event detection using volumetric features. In ICCV, volume 1, pages 166-173, 2005. 2, 3
-
(2005)
ICCV
, vol.1
, pp. 166-173
-
-
Ke, Y.1
Sukthankar, R.2
Hebert, M.3
-
8
-
-
84867849228
-
Motion interchange patterns for action recognition in unconstrained videos
-
7
-
O. Kliper-Gross, Y. Gurovich, T. Hassner, and L. Wolf. Motion interchange patterns for action recognition in unconstrained videos. In ECCV, pages 256-269, 2012. 7
-
(2012)
ECCV
, pp. 256-269
-
-
Kliper-Gross, O.1
Gurovich, Y.2
Hassner, T.3
Wolf, L.4
-
9
-
-
84898426452
-
A spatio-temporal descriptor based on 3d-gradients
-
3
-
A. Klser, M. Marsza?ek, and C. Schmid. A spatio-temporal descriptor based on 3d-gradients. In BMVC, pages 995-1004, 2008. 3
-
(2008)
BMVC
, pp. 995-1004
-
-
Klser, A.1
Marszaek, M.2
Schmid, C.3
-
10
-
-
84856682691
-
Hmdb: A large video database for human motion recognition
-
1, 4, 7
-
H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, and T. Serre. Hmdb: A large video database for human motion recognition. In ICCV, pages 2556-2563, 2011. 1, 4, 7
-
(2011)
ICCV
, pp. 2556-2563
-
-
Kuehne, H.1
Jhuang, H.2
Garrote, E.3
Poggio, T.4
Serre, T.5
-
11
-
-
51949099868
-
Beyond sliding windows: Object localization by efficient subwindow search
-
IEEE 3
-
C. H. Lampert, M. B. Blaschko, and T. Hofmann. Beyond sliding windows: Object localization by efficient subwindow search. In CVPR, pages 1-8. IEEE, 2008. 3
-
(2008)
CVPR
, pp. 1-8
-
-
Lampert, C.H.1
Blaschko, M.B.2
Hofmann, T.3
-
13
-
-
51949083365
-
Learning realistic human actions from movies
-
3, 6
-
I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In CVPR, pages 1-8, 2008. 3, 6
-
(2008)
CVPR
, pp. 1-8
-
-
Laptev, I.1
Marszalek, M.2
Schmid, C.3
Rozenfeld, B.4
-
14
-
-
80052874098
-
Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis
-
1
-
Q. V. Le, W. Y. Zou, S. Y. Yeung, and A. Y. Ng. Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis. In CVPR, pages 3361-3368, 2011. 1
-
(2011)
CVPR
, pp. 3361-3368
-
-
Le, Q.V.1
Zou, W.Y.2
Yeung, S.Y.3
Ng, A.Y.4
-
15
-
-
0035358496
-
Representing and recognizing the visual appearance of materials using three-dimensional textons
-
2
-
T. Leung and J. Malik. Representing and recognizing the visual appearance of materials using three-dimensional textons. International Journal of Computer Vision, 43:2944, 2001. 2
-
(2001)
International Journal of Computer Vision
, vol.43
, pp. 2944
-
-
Leung, T.1
Malik, J.2
-
16
-
-
84875269302
-
Human action recognition based on boosted feature selection and naive bayes nearestneighbor classification
-
2
-
L. Liu, L. Shao, and P. Rockett. Human action recognition based on boosted feature selection and naive bayes nearestneighbor classification. Signal Processing, pages 1521-1530, 2012. 2
-
(2012)
Signal Processing
, pp. 1521-1530
-
-
Liu, L.1
Shao, L.2
Rockett, P.3
-
17
-
-
51949098112
-
Classification using intersection kernel support vector machines is efficient
-
IEEE 4
-
S. Maji, A. C. Berg, and J. Malik. Classification using intersection kernel support vector machines is efficient. In CVPR, pages 1-8. IEEE, 2008. 4
-
(2008)
CVPR
, pp. 1-8
-
-
Maji, S.1
Berg, A.C.2
Malik, J.3
-
19
-
-
84867848624
-
Dynamic eye movement datasets and learnt saliency models for visual action recognition
-
2
-
S. Mathe and C. Sminchisescu. Dynamic eye movement datasets and learnt saliency models for visual action recognition. In ECCV, pages 842-856, 2012. 2
-
(2012)
ECCV
, pp. 842-856
-
-
Mathe, S.1
Sminchisescu, C.2
-
21
-
-
33745835368
-
Sampling strategies for bag-of-features image classification
-
1, 2, 3, 5
-
E. Nowak, F. Jurie, and B. Triggs. Sampling strategies for bag-of-features image classification. In ECCV (4), pages 490-503, 2006. 1, 2, 3, 5
-
(2006)
ECCV
, Issue.4
, pp. 490-503
-
-
Nowak, E.1
Jurie, F.2
Triggs, B.3
-
22
-
-
84879550059
-
Recognizing 50 human action categories of web videos
-
September. 1, 4, 7
-
K. K. Reddy and M. Shah. Recognizing 50 human action categories of web videos. Machine Vision and Applications Journal, pages 1-11, September, 2012. 1, 4, 7
-
(2012)
Machine Vision and Applications Journal
, pp. 1-11
-
-
Reddy, K.K.1
Shah, M.2
-
23
-
-
84866718894
-
Action bank: A high-level representation of activity in video
-
1, 6, 7
-
S. Sadanand and J. J. Corso. Action bank: A high-level representation of activity in video. In CVPR, pages 1234-1241, 2012. 1, 6, 7
-
(2012)
CVPR
, pp. 1234-1241
-
-
Sadanand, S.1
Corso, J.J.2
-
24
-
-
84887336802
-
Learning discriminative space-time actions from weakly labelled videos
-
1, 7
-
M. Sapienza, F. Cuzzolin, and P. H. T. and. Learning discriminative space-time actions from weakly labelled videos. In ECCV, 2012. 1, 7
-
(2012)
ECCV
-
-
Sapienza, M.1
Cuzzolin, F.2
-
25
-
-
10044233701
-
Recognizing human actions: A local svm approach
-
1, 4, 6
-
C. Schüldt, I. Laptev, and B. Caputo. Recognizing human actions: A local svm approach. In ICPR (3), pages 32-36, 2004. 1, 4, 6
-
(2004)
ICPR
, Issue.3
, pp. 32-36
-
-
Schüldt, C.1
Laptev, I.2
Caputo, B.3
-
26
-
-
84155191341
-
Human action recognition from local part model
-
1, 2, 3, 6
-
F. Shi, E. M. Petriu, and A. Cordeiro. Human action recognition from local part model. In Proc. IEEE Int Haptic Audio Visual Environments and Games (HAVE) Workshop, pages 35-38, 2011. 1, 2, 3, 6
-
(2011)
Proc. IEEE Int Haptic Audio Visual Environments and Games (HAVE) Workshop
, pp. 35-38
-
-
Shi, F.1
Petriu, E.M.2
Cordeiro, A.3
-
29
-
-
84867884391
-
Space-variant descriptor sampling for action recognition based on saliency and eye movements
-
2, 4
-
E. Vig, M. Dorr, and D. Cox. Space-variant descriptor sampling for action recognition based on saliency and eye movements. In ECCV, pages 84-97, 2012. 2, 4
-
(2012)
ECCV
, pp. 84-97
-
-
Vig, E.1
Dorr, M.2
Cox, D.3
-
30
-
-
80052877143
-
Action recognition by dense trajectories
-
1, 2, 3, 4
-
H. Wang, A. Klaser, C. Schmid, and C.-L. Liu. Action recognition by dense trajectories. In CVPR, pages 3169-3176, 2011. 1, 2, 3, 4
-
(2011)
CVPR
, pp. 3169-3176
-
-
Wang, H.1
Klaser, A.2
Schmid, C.3
Liu, C.-L.4
-
31
-
-
84887394800
-
Dense trajectories and motion boundary descriptors for action recognition
-
Technical report. 4, 6, 7
-
H. Wang, A. Klaser, C. Schmid, and C.-L. Liu. Dense trajectories and motion boundary descriptors for action recognition. Technical report, INRIA, 2012. 4, 6, 7
-
(2012)
INRIA
-
-
Wang, H.1
Klaser, A.2
Schmid, C.3
Liu, C.-L.4
-
32
-
-
84898890371
-
Evaluation of local spatio-temporal features for action recognition
-
1, 2, 3, 4, 6
-
H. Wang, M. M. Ullah, A. Klser, I. Laptev, and C. Schmid. Evaluation of local spatio-temporal features for action recognition. In BMVC, pages 127-137, 2009. 1, 2, 3, 4, 6
-
(2009)
BMVC
, pp. 127-137
-
-
Wang, H.1
Ullah, M.M.2
Klser, A.3
Laptev, I.4
Schmid, C.5
-
33
-
-
56749155587
-
An efficient dense and scale-invariant spatio-temporal interest point detector
-
1, 2, 3, 6
-
G. Willems, T. Tuytelaars, and L. J. V. Gool. An efficient dense and scale-invariant spatio-temporal interest point detector. In ECCV, pages 650-663, 2008. 1, 2, 3, 6
-
(2008)
ECCV
, pp. 650-663
-
-
Willems, G.1
Tuytelaars, T.2
Gool, L.J.V.3
-
34
-
-
77953203532
-
A biased sampling strategy for object categorization
-
2
-
L. Yang, N. Zheng, J. Yang, M. Chen, and H. Chen. A biased sampling strategy for object categorization. In Proc. IEEE 12th Int Computer Vision Conf, pages 1141-1148, 2009. 2
-
(2009)
Proc. IEEE 12th Int Computer Vision Conf
, pp. 1141-1148
-
-
Yang, L.1
Zheng, N.2
Yang, J.3
Chen, M.4
Chen, H.5
-
35
-
-
77953205594
-
Local trinary patterns for human action recognition
-
2
-
L. Yeffet and L. Wolf. Local trinary patterns for human action recognition. In ICCV, pages 492-497, 2009. 2
-
(2009)
ICCV
, pp. 492-497
-
-
Yeffet, L.1
Wolf, L.2
-
36
-
-
84898414417
-
Real-time action recognition by spatiotemporal semantic and structural forests
-
2
-
T.-H. Yu, T.-K. Kim, and R. Cipolla. Real-time action recognition by spatiotemporal semantic and structural forests. In BMVC, pages 1-12, 2010. 2
-
(2010)
BMVC
, pp. 1-12
-
-
Yu, T.-H.1
Kim, T.-K.2
Cipolla, R.3
-
37
-
-
33846580425
-
Local features and kernels for classification of texture and object categories: A comprehensive study
-
4, 6
-
J. Zhang, S. Lazebnik, and C. Schmid. Local features and kernels for classification of texture and object categories: a comprehensive study. International Journal of Computer Vision, 73:2007, 2007. 4, 6
-
(2007)
International Journal of Computer Vision
, vol.73
, pp. 2007
-
-
Zhang, J.1
Lazebnik, S.2
Schmid, C.3
|