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CVIU
2006
222views more  CVIU 2006»
15 years 4 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
CVPR
2009
IEEE
16 years 11 months ago
Understanding Videos, Constructing Plots - Learning a Visually Grounded Storyline Model from Annotated Videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline...
Abhinav Gupta (University of Maryland), Praveen Sr...
CVPR
2009
IEEE
15 years 11 months ago
Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline ...
Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Lar...
MAGS
2006
150views more  MAGS 2006»
15 years 4 months ago
The Agent-Rule-Class framework for Multi-Agent Systems
Multi-Agent Systems (MAS) have become increasingly mature, but this maturity does not make the traditional Object Oriented (OO) approaches obsolete. On the contrary, building MAS i...
Liang Xiao 0002, Des Greer
FMCO
2004
Springer
123views Formal Methods» more  FMCO 2004»
15 years 8 months ago
rCOS: Refinement of Component and Object Systems
Abstract. We present a model of object-oriented and component-based refinement. For object-orientation, the model is class-based and refinement is about correct changes in the stru...
Zhiming Liu, Jifeng He, Xiaoshan Li