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» Activity Modeling Using Event Probability Sequences
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CVPR
2011
IEEE
13 years 3 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
13 years 9 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»
14 years 20 days 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
14 years 15 hour 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
14 years 1 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...