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» Activity Modeling Using Event Probability Sequences
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CVPR
2011
IEEE
14 years 8 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...
NIPS
2000
15 years 1 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
HICSS
2002
IEEE
84views Biometrics» more  HICSS 2002»
15 years 4 months ago
Examining Criticality of Blackouts in Power System Models with Cascading Events
As power system loading increases, larger blackouts due to cascading outages become more likely. We investigate a critical loading at which the average size of blackouts increases...
Ian Dobson, Jie Chen, Jim Thorp, Benjamin A. Carre...
PADS
1999
ACM
15 years 4 months ago
Active Virtual Network Management Protocol
This paper introduces a novel algorithm, the Active Virtual Network Management Protocol AVNMP, for predictive network management. It explains how the Active Virtual Network Mana...
Stephen F. Bush
ATAL
2005
Springer
15 years 5 months ago
Using the UML 2.0 activity diagram to model agent plans and actions
The behavior of an agent is defined through the specification of plans and actions. Agents have a set of plans that are selected to be executed according to their goals (and other...
Viviane Torres da Silva, Ricardo Choren, Carlos Jo...