-
1
-
-
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
-
2
-
-
70450209996
-
Floor fields for tracking in high density crowd scenes
-
S. Ali and M. Shah. Floor fields for tracking in high density crowd scenes. In EECV, 2008.
-
(2008)
EECV
-
-
Ali, S.1
Shah, M.2
-
3
-
-
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
-
-
0026829832
-
Numerical potential field techniques for robot path planning
-
J. Barraquand, B. Langlois, and J.-C. Latombe. Numerical potential field techniques for robot path planning. TSMC, 1992.
-
(1992)
TSMC
-
-
Barraquand, J.1
Langlois, B.2
Latombe, J.-C.3
-
6
-
-
80052891496
-
Functional categorization of objects using real-time markerless motion capture
-
J. Gall, A. Fossati, and L. V. Gool. Functional categorization of objects using real-time markerless motion capture. In CVPR, 2011.
-
(2011)
CVPR
-
-
Gall, J.1
Fossati, A.2
Gool, L.V.3
-
7
-
-
84856656875
-
Multi-hypothesis motion planning for visual object tracking
-
H. Gong, J. Sim, M. Likhachev, and J. Shi. Multi-hypothesis motion planning for visual object tracking. In ICCV, 2011.
-
(2011)
ICCV
-
-
Gong, H.1
Sim, J.2
Likhachev, M.3
Shi, J.4
-
9
-
-
69549121743
-
Observing humanobject interactions: Using spatial and functional compatibility for recognition
-
A. Gupta, A. Kembhavi, and L. S. Davis. Observing humanobject interactions: using spatial and functional compatibility for recognition. TPAMI, 2009.
-
(2009)
TPAMI
-
-
Gupta, A.1
Kembhavi, A.2
Davis, L.S.3
-
10
-
-
84866664428
-
Max-margin early event detectors
-
M. Hoai and F. De la Torre. Max-margin early event detectors. In CVPR, 2012.
-
(2012)
CVPR
-
-
Hoai, M.1
De La Torre, F.2
-
11
-
-
77956001789
-
Motion fields to predict play evolution in dynamic sport scenes
-
K. Kim, M. Grundmann, A. Shamir, I. Matthews, J. Hodgins, and I. Essa. Motion fields to predict play evolution in dynamic sport scenes. In CVPR, 2010.
-
(2010)
CVPR
-
-
Kim, K.1
Grundmann, M.2
Shamir, A.3
Matthews, I.4
Hodgins, J.5
Essa, I.6
-
13
-
-
84874546525
-
Wang-Landau monte carlo-based tracking methods for abrupt motions
-
J. Kwon and K. M. Lee. Wang-Landau monte carlo-based tracking methods for abrupt motions. TPAMI, 2013.
-
(2013)
TPAMI
-
-
Kwon, J.1
Lee, K.M.2
-
14
-
-
84988954045
-
Group behavior from video : A data-driven approach to crowd simulation
-
K. H. Lee, M. G. Choi, Q. Hong, and J. Lee. Group behavior from video : A data-driven approach to crowd simulation. In SCA, 2007.
-
(2007)
SCA
-
-
Lee, K.H.1
Choi, M.G.2
Hong, Q.3
Lee, J.4
-
16
-
-
80052890615
-
A large-scale benchmark dataset for event recognition in surveillance video
-
S. Oh et al. A large-scale benchmark dataset for event recognition in surveillance video. In CVPR, 2011.
-
(2011)
CVPR
-
-
Oh, S.1
-
17
-
-
84856646751
-
Parsing video events with goal inference and intent prediction
-
M. Pei, Y. Jia, and S.-C. Zhu. Parsing video events with goal inference and intent prediction. In ICCV, 2011.
-
(2011)
ICCV
-
-
Pei, M.1
Jia, Y.2
Zhu, S.-C.3
-
19
-
-
80052904076
-
Globallyoptimal greedy algorithms for tracking a variable number of objects
-
H. Pirsiavash, D. Ramanan, and C. C. Fowlkes. Globallyoptimal greedy algorithms for tracking a variable number of objects. In CVPR, 2011.
-
(2011)
CVPR
-
-
Pirsiavash, H.1
Ramanan, D.2
Fowlkes, C.C.3
-
20
-
-
84856688144
-
Human activity prediction: Early recognition of ongoing activities from streaming videos
-
M. S. Ryoo. Human activity prediction: Early recognition of ongoing activities from streaming videos. In ICCV, 2011.
-
(2011)
ICCV
-
-
Ryoo, M.S.1
-
22
-
-
84865331574
-
Identifying behaviors in crowd scenes using stability analysis for Dynamical Systems
-
B. Solmaz, B. E. Moore, and M. Shah. Identifying behaviors in crowd scenes using stability analysis for Dynamical Systems. TPAMI, 2012.
-
(2012)
TPAMI
-
-
Solmaz, B.1
Moore, B.E.2
Shah, M.3
-
23
-
-
0036566199
-
Image segmentation by data-driven markov chain monte carlo
-
Z. Tu and S.-C. Zhu. Image segmentation by data-driven markov chain monte carlo. TPAMI, 2002.
-
(2002)
TPAMI
-
-
Tu, Z.1
Zhu, S.-C.2
-
24
-
-
78149330082
-
Unsupervised learning of functional categories in video scenes
-
M.W. Turek, A. Hoogs, and R. Collins. Unsupervised learning of functional categories in video scenes. In ECCV, 2010.
-
(2010)
ECCV
-
-
Turek, M.W.1
Hoogs, A.2
Collins, R.3
-
25
-
-
84873165828
-
Efficiently scaling up crowdsourced video annotation
-
C. Vondrick, D. Patterson, and D. Ramanan. Efficiently scaling up crowdsourced video annotation. IJCV, 2013.
-
(2013)
IJCV
-
-
Vondrick, C.1
Patterson, D.2
Ramanan, D.3
-
26
-
-
84877783477
-
Image parsing via stochastic scene grammar
-
Y. Zhao and S.-C. Zhu. Image parsing via stochastic scene grammar. In NIPS, 2011.
-
(2011)
NIPS
-
-
Zhao, Y.1
Zhu, S.-C.2
-
27
-
-
80052901211
-
Random field topic model for semantic region analysis in crowded scenes from tracklets
-
B. Zhou, X. Wang, and X. Tang. Random field topic model for semantic region analysis in crowded scenes from tracklets. In CVPR, 2011.
-
(2011)
CVPR
-
-
Zhou, B.1
Wang, X.2
Tang, X.3
-
28
-
-
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
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