-
1
-
-
10044223102
-
Detecting rare events in video using semantic primitives with HMM
-
Chan, M.; Hoogs, A.; Schmiederer, J.; and Petersen, M. 2004. Detecting rare events in video using semantic primitives with HMM. In Proc. ICPR, volume 4, 150–154.
-
(2004)
Proc. ICPR
, vol.4
, pp. 150-154
-
-
Chan, M.1
Hoogs, A.2
Schmiederer, J.3
Petersen, M.4
-
2
-
-
33845572938
-
Joint recognition of complex events and track matching
-
In
-
Chan, M. T.; Hoogs, A.; Bhotika, R.; Perera, A. G. A.; Schmiederer, J.; and Doretto, G. 2006a. Joint recognition of complex events and track matching. In Proc. CVPR.
-
(2006)
Proc. CVPR.
-
-
Chan, M. T.1
Hoogs, A.2
Bhotika, R.3
Perera, A. G. A.4
Schmiederer, J.5
Doretto, G.6
-
3
-
-
34047215815
-
Event recognition with fragmented object tracks
-
In
-
Chan, M.; Hoogs, A.; Sun, Z.; Schmiederer, J.; Bhotika, R.; and Doretto, G. 2006b. Event recognition with fragmented object tracks. In Proc. ICPR.
-
(2006)
Proc. ICPR.
-
-
Chan, M.1
Hoogs, A.2
Sun, Z.3
Schmiederer, J.4
Bhotika, R.5
Doretto, G.6
-
4
-
-
0344983339
-
Recognition of group activities using dynamic probabilistic networks
-
Gong, S., and Xiang, T. 2003. Recognition of group activities using dynamic probabilistic networks. In Proc. ICCV, 742–749.
-
(2003)
Proc. ICCV
, pp. 742-749
-
-
Gong, S.1
Xiang, T.2
-
5
-
-
4944221737
-
Video-based event recognition: activity representation and probabilistic recognition methods
-
Hongeng, S.; Nevatia, R.; and Bremond, F. 2004. Video-based event recognition: activity representation and probabilistic recognition methods. CVIU 96(2):129–162.
-
(2004)
CVIU
, vol.96
, Issue.2
, pp. 129-162
-
-
Hongeng, S.1
Nevatia, R.2
Bremond, F.3
-
6
-
-
0032596469
-
A framework for recognizing multi-agent action from visual evidence
-
Intille, S., and Bobick, A. 1999. A framework for recognizing multi-agent action from visual evidence. In Proc. Natl. Conf. on AI, 518–525.
-
(1999)
Proc. Natl. Conf. on AI
, pp. 518-525
-
-
Intille, S.1
Bobick, A.2
-
7
-
-
35548930762
-
Local velocity-adapted motion events for spatio-temporal recognition
-
Laptev, I.; Caputo, B.; Schüldt, C.; and Lindeberg, T. 2007. Local velocity-adapted motion events for spatio-temporal recognition. CVIU 108(3):207–229.
-
(2007)
CVIU
, vol.108
, Issue.3
, pp. 207-229
-
-
Laptev, I.1
Caputo, B.2
Schüldt, C.3
Lindeberg, T.4
-
11
-
-
20444410793
-
Learning semantic scene models from observing activity in visual surveillance
-
Makris, D., and Ellis, T. 2005. Learning semantic scene models from observing activity in visual surveillance. IEEE T. SMC-B 35(3).
-
(2005)
IEEE T. SMC-B
, vol.35
, Issue.3
-
-
Makris, D.1
Ellis, T.2
-
13
-
-
33845592424
-
Multi-object tracking through simultaneous long occlusions and split-merge conditions
-
Perera, A.; Srinivas, C.; Hoogs, A.; Brooksby, G.; and Hu, W. 2006. Multi-object tracking through simultaneous long occlusions and split-merge conditions. In Proc. CVPR.
-
(2006)
Proc. CVPR.
-
-
Perera, A.1
Srinivas, C.2
Hoogs, A.3
Brooksby, G.4
Hu, W.5
-
14
-
-
50949109198
-
Learning motion patterns in surveillance video using hmm clustering
-
Swears, E.; Hoogs, A.; and Perera, A. G. A. 2008. Learning motion patterns in surveillance video using hmm clustering. In WMVC.
-
(2008)
WMVC
-
-
Swears, E.1
Hoogs, A.2
Perera, A. G. A.3
-
15
-
-
33745901086
-
Video behaviour profiling and abnormality detection without manual labelling
-
Xiang, T., and Gong, S. 2005. Video behaviour profiling and abnormality detection without manual labelling. In Proc. ICCV, volume 2, 1238–1245.
-
(2005)
Proc. ICCV
, vol.2
, pp. 1238-1245
-
-
Xiang, T.1
Gong, S.2
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