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ISSTA
2010
ACM
14 years 1 months ago
Learning from 6, 000 projects: lightweight cross-project anomaly detection
Real production code contains lots of knowledge—on the domain, on the architecture, and on the environment. How can we leverage this knowledge in new projects? Using a novel lig...
Natalie Gruska, Andrzej Wasylkowski, Andreas Zelle...
ICCV
2009
IEEE
15 years 2 months ago
Tracking in Unstructured Crowded Scenes
This paper presents a target tracking framework for unstructured crowded scenes. Unstructured crowded scenes are defined as those scenes where the motion of a crowd appears to b...
Mikel Rodriguez, Saad Ali, Takeo Kanade
JVCA
2007
125views more  JVCA 2007»
13 years 9 months ago
Crowd motion capture
In this paper a new and original technique to animate a crowd of human beings is presented. Following the success of data-driven animation models (such as motion capture) in the c...
Nicolas Courty, Thomas Corpetti
AAAI
2007
14 years 4 days ago
Towards a Cognitive Model of Crowd Behavior Based on Social Comparison Theory
Models of crowd behavior facilitate analysis and prediction of human group behavior, where people are affected by each other’s presence. Unfortunately, existing models leave man...
Natalie Fridman, Gal A. Kaminka
ICIP
2009
IEEE
14 years 11 months ago
Detecting Contextual Anomalies Of Crowd Motion In Surveillance Video
Many works have been proposed on detecting individual anomalies in crowd scenes, i.e., human behaviors anomalous with respect to the rest of the behaviors. In this paper, we intro...