-
1
-
-
2142762996
-
A human-computer interactive method for projected clustering
-
C. C. Aggarwal. A human-computer interactive method for projected clustering. TPAMI, 16(4):448-460, 2004.
-
(2004)
TPAMI
, vol.16
, Issue.4
, pp. 448-460
-
-
Aggarwal, C.C.1
-
2
-
-
79955649703
-
Human activity analysis: A review
-
J. Aggarwal and M. S. Ryoo. Human activity analysis: A review. ACM Computing Surveys, 43(3):16, 2011.
-
(2011)
ACM Computing Surveys
, vol.43
, Issue.3
, pp. 16
-
-
Aggarwal, J.1
Ryoo, M.S.2
-
3
-
-
35148868709
-
A lagrangian particle dynamics approach for crowd flow segmentation and stability analysis
-
S. Ali and M. Shah. A lagrangian particle dynamics approach for crowd flow segmentation and stability analysis. In CVPR, 2007.
-
(2007)
CVPR
-
-
Ali, S.1
Shah, M.2
-
4
-
-
84898814075
-
Cost-sensitive top-down/bottom-up inference for multiscale activity recognition
-
M. R. Amer, D. Xie, M. Zhao, S. Todorovic, and S.-C. Zhu. Cost-sensitive top-down/bottom-up inference for multiscale activity recognition. In ECCV, 2012.
-
(2012)
ECCV
-
-
Amer, M.R.1
Xie, D.2
Zhao, M.3
Todorovic, S.4
Zhu, S.-C.5
-
5
-
-
33746816128
-
The not-so-lonely crowd: Friendship groups in collective behavior
-
A. F. Aveni. The not-so-lonely crowd: Friendship groups in collective behavior. Sociometry, 40:96-99, 1977.
-
(1977)
Sociometry
, vol.40
, pp. 96-99
-
-
Aveni, A.F.1
-
6
-
-
84860511546
-
Analyzing groups: A social signaling perspective
-
L. Bazzani, M. Cristani, G. Paggetti, D. Tosato, G. Menegaz, and V. Murino. Analyzing groups: a social signaling perspective. In Video Analytics for Business Intelligence, pages 271-305. 2012.
-
(2012)
Video Analytics for Business Intelligence
, pp. 271-305
-
-
Bazzani, L.1
Cristani, M.2
Paggetti, G.3
Tosato, D.4
Menegaz, G.5
Murino, V.6
-
8
-
-
41749099043
-
Modeling, clustering, and segmenting video with mixtures of dynamic textures
-
A. B. Chan and N. Vasconcelos. Modeling, clustering, and segmenting video with mixtures of dynamic textures. TPAMI, 30(5):909-926, 2008.
-
(2008)
TPAMI
, vol.30
, Issue.5
, pp. 909-926
-
-
Chan, A.B.1
Vasconcelos, N.2
-
9
-
-
84856655873
-
Probabilistic group-level motion analysis and scenario recognition
-
M.-C. Chang, N. Krahnstoever, and W. Ge. Probabilistic group-level motion analysis and scenario recognition. In ICCV, 2011.
-
(2011)
ICCV
-
-
Chang, M.-C.1
Krahnstoever, N.2
Ge, W.3
-
10
-
-
84887328393
-
A unified framework for multi-target tracking and collective activity recognition
-
W. Choi and S. Savarese. A unified framework for multi-target tracking and collective activity recognition. In ECCV, 2012.
-
(2012)
ECCV
-
-
Choi, W.1
Savarese, S.2
-
11
-
-
84859193194
-
Vision-based analysis of small groups in pedestrian crowds
-
W. Ge, R. T. Collins, and R. B. Ruback. Vision-based analysis of small groups in pedestrian crowds. TPAMI, 34(5):1003-1016, 2012.
-
(2012)
TPAMI
, vol.34
, Issue.5
, pp. 1003-1016
-
-
Ge, W.1
Collins, R.T.2
Ruback, R.B.3
-
13
-
-
35248856713
-
The statistics of crowd fluids
-
L. F. Henderson. The statistics of crowd fluids. Nature, 229:381-383, 1971.
-
(1971)
Nature
, vol.229
, pp. 381-383
-
-
Henderson, L.F.1
-
14
-
-
84855930860
-
Simulating and evaluating the local behavior of small pedestrian groups
-
I. Karamouzas and M. Overmars. Simulating and evaluating the local behavior of small pedestrian groups. TVCG, 18(3):394-406, 2012.
-
(2012)
TVCG
, vol.18
, Issue.3
, pp. 394-406
-
-
Karamouzas, I.1
Overmars, M.2
-
15
-
-
84883093074
-
Velocity-based modeling of physical interactions in multi-agent simulations
-
ACM
-
S. Kim, S. J. Guy, and D. Manocha. Velocity-based modeling of physical interactions in multi-agent simulations. In SIGGRAPH, pages 125-133. ACM, 2013.
-
(2013)
SIGGRAPH
, pp. 125-133
-
-
Kim, S.1
Guy, S.J.2
Manocha, D.3
-
16
-
-
70450214749
-
Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models
-
L. Kratz and K. Nishino. Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models. In CVPR, 2009.
-
(2009)
CVPR
-
-
Kratz, L.1
Nishino, K.2
-
17
-
-
77956008040
-
What's going on? Discovering spatio-temporal dependencies in dynamic scenes
-
D. Kuettel, M. D. Breitenstein, L. Van Gool, and V. Ferrari. What's going on? discovering spatio-temporal dependencies in dynamic scenes. In CVPR, 2010.
-
(2010)
CVPR
-
-
Kuettel, D.1
Breitenstein, M.D.2
Van Gool, L.3
Ferrari, V.4
-
19
-
-
84862638723
-
Discriminative latent models for recognizing contextual group activities
-
T. Lan, Y. Wang, W. Yang, S. N. Robinovitch, and G. Mori. Discriminative latent models for recognizing contextual group activities. TPAMI, 34(8):1549-1562, 2012.
-
(2012)
TPAMI
, vol.34
, Issue.8
, pp. 1549-1562
-
-
Lan, T.1
Wang, Y.2
Yang, W.3
Robinovitch, S.N.4
Mori, G.5
-
20
-
-
0001116877
-
Binary codes capable of correcting deletions, insertions and reversals
-
V. I. Levenshtein. Binary codes capable of correcting deletions, insertions and reversals. Soviet physics doklady, 10: 707-710, 1966.
-
(1966)
Soviet Physics Doklady
, vol.10
, pp. 707-710
-
-
Levenshtein, V.I.1
-
21
-
-
84873158443
-
Recognizing interactive group activities using temporal interaction matrices and their riemannian statistics
-
R. Li, R. Chellappa, and S. K. Zhou. Recognizing interactive group activities using temporal interaction matrices and their riemannian statistics. IJCV, 101(2):305-328, 2013.
-
(2013)
IJCV
, vol.101
, Issue.2
, pp. 305-328
-
-
Li, R.1
Chellappa, R.2
Zhou, S.K.3
-
22
-
-
84898877975
-
Modelling multi-object activity by gaussian processes
-
C. C. Loy, T. Xiang, and S. Gong. Modelling multi-object activity by gaussian processes. In BMVC, pages 1-11, 2009.
-
(2009)
BMVC
, pp. 1-11
-
-
Loy, C.C.1
Xiang, T.2
Gong, S.3
-
23
-
-
77956458108
-
Detecting and discriminating behavioural anomalies
-
C. C. Loy, T. Xiang, and S. Gong. Detecting and discriminating behavioural anomalies. Pattern Recognition, 44(1):117-132, 2011.
-
(2011)
Pattern Recognition
, vol.44
, Issue.1
, pp. 117-132
-
-
Loy, C.C.1
Xiang, T.2
Gong, S.3
-
24
-
-
70450255364
-
Abnormal crowd behavior detection using social force model
-
R. Mehran, A. Oyama, and M. Shah. Abnormal crowd behavior detection using social force model. In CVPR, 2009.
-
(2009)
CVPR
-
-
Mehran, R.1
Oyama, A.2
Shah, M.3
-
25
-
-
67650907147
-
Collective information processing and pattern formation in swarms, flocks, and crowds
-
M. Moussaid, S. Garnier, G. Theraulaz, and D. Helbing. Collective information processing and pattern formation in swarms, flocks, and crowds. Topics in Cognitive Science, 1:469-497, 2009.
-
(2009)
Topics in Cognitive Science
, vol.1
, pp. 469-497
-
-
Moussaid, M.1
Garnier, S.2
Theraulaz, G.3
Helbing, D.4
-
26
-
-
77956323937
-
The walking behaviour of pedestrian social groups and its impact on crowd dynamics
-
M. Moussäid, N. Perozo, S. Garnier, D. Helbing, and G. Theraulaz. The walking behaviour of pedestrian social groups and its impact on crowd dynamics. PloS, 5(4), 2010.
-
(2010)
PloS
, vol.5
, Issue.4
-
-
Moussäid, M.1
Perozo, N.2
Garnier, S.3
Helbing, D.4
Theraulaz, G.5
-
27
-
-
77953225589
-
You'll never walk alone: Modeling social behavior for multi-target tracking
-
S. Pellegrini, A. Ess, K. Schindler, and L. Van Gool. You'll never walk alone: Modeling social behavior for multi-target tracking. In ICCV, 2009.
-
(2009)
ICCV
-
-
Pellegrini, S.1
Ess, A.2
Schindler, K.3
Van Gool, L.4
-
28
-
-
84950632109
-
Objective criteria for the evaluation of clustering methods
-
W. M. Rand. Objective criteria for the evaluation of clustering methods. JASSA, 66(336):846-850, 1971.
-
(1971)
JASSA
, vol.66
, Issue.336
, pp. 846-850
-
-
Rand, W.M.1
-
30
-
-
33847229934
-
A spectral clustering approach to finding communities in graphs
-
S. Smyth and S. White. A spectral clustering approach to finding communities in graphs. In SDM, 2005.
-
(2005)
SDM
-
-
Smyth, S.1
White, S.2
-
33
-
-
77955996870
-
Locality-constrained linear coding for image classification
-
J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, 2010.
-
(2010)
CVPR
-
-
Wang, J.1
Yang, J.2
Yu, K.3
Lv, F.4
Huang, T.5
Gong, Y.6
-
34
-
-
63849117955
-
Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models
-
X. Wang, X. Ma, and W. E. L. Grimson. Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models. TPAMI, 31(3):539-555, 2009.
-
(2009)
TPAMI
, vol.31
, Issue.3
, pp. 539-555
-
-
Wang, X.1
Ma, X.2
Grimson, W.E.L.3
-
36
-
-
85157983500
-
A local learning approach for clustering
-
M. Wu and B. Schölkopf. A local learning approach for clustering. In NIPS, 2006.
-
(2006)
NIPS
-
-
Wu, M.1
Schölkopf, B.2
-
37
-
-
77956377721
-
Collective motion and density fluctuations in bacterial colonies
-
H.-P. Zhang, A. Beér, E.-L. Florin, and H. L. Swinney. Collective motion and density fluctuations in bacterial colonies. PNAS, 107(31):13626-13630, 2010.
-
(2010)
PNAS
, vol.107
, Issue.31
, pp. 13626-13630
-
-
Zhang, H.-P.1
Beér, A.2
Florin, E.-L.3
Swinney, H.L.4
-
38
-
-
84898799986
-
Graph degree linkage: Agglomerative clustering on a directed graph
-
W. Zhang, X. Wang, D. Zhao, and X. Tang. Graph degree linkage: agglomerative clustering on a directed graph. In ECCV. 2012.
-
(2012)
ECCV
-
-
Zhang, W.1
Wang, X.2
Zhao, D.3
Tang, X.4
-
39
-
-
84911386894
-
Coherent filtering: Detecting coherent motions from crowd clutters
-
B. Zhou, X. Tang, and X. Wang. Coherent filtering: detecting coherent motions from crowd clutters. In ECCV. 2012.
-
(2012)
ECCV
-
-
Zhou, B.1
Tang, X.2
Wang, X.3
-
40
-
-
84887389356
-
Measuring crowd collectiveness
-
B. Zhou, X. Tang, and X. Wang. Measuring crowd collectiveness. In CVPR, 2013.
-
(2013)
CVPR
-
-
Zhou, B.1
Tang, X.2
Wang, X.3
-
41
-
-
84866645335
-
Understanding collective crowd behaviors: Learning a mixture model of dynamic pedestrian-agents
-
B. Zhou, X. Wang, and X. Tang. Understanding collective crowd behaviors: Learning a mixture model of dynamic pedestrian-agents. In CVPR, 2012.
-
(2012)
CVPR
-
-
Zhou, B.1
Wang, X.2
Tang, X.3
|