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» Visual Surveillance of Human Activity
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CVPR
2009
IEEE
15 years 3 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
CVPR
2009
IEEE
15 years 4 months ago
Multi-Camera Activity Correlation Analysis
We propose a novel approach for modelling correlations between activities in a busy public space captured by multiple non-overlapping and uncalibrated cameras. In our approach, ...
Chen Change Loy (Queen Mary, University of London)...
DSVIS
2005
Springer
13 years 10 months ago
Natural Modelling of Interactive Applications
This paper presents an approach, and the associated environment, aiming to support designers to intuitively model interactive applications. The goal is to make modelling activity m...
Fabio Paternò, Marco Volpe 0002
AINA
2005
IEEE
14 years 2 months ago
mPATH: An Interactive Visualization Framework for Behavior History
This paper presents an interactive analysis and visualization framework for behavior histories, called mPATH framework. In ubiquitous computing environment, it is possible to infe...
Masaki Ito, Jin Nakazawa, Hideyuki Tokuda
AVSS
2009
IEEE
14 years 3 months ago
Cost-Effective Solution to Synchronized Audio-Visual Capture Using Multiple Sensors
Abstract—Applications such as surveillance and human motion capture require high-bandwidth recording from multiple cameras. Furthermore, the recent increase in research on sensor...
Jeroen Lichtenauer, Michel François Valstar...