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CVPR
2009
IEEE
15 years 17 days 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...
ICCV
2005
IEEE
14 years 7 months ago
Actions as Space-Time Shapes
Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as three-dimensional shapes...
Moshe Blank, Lena Gorelick, Eli Shechtman, Michal ...
WACV
2005
IEEE
13 years 11 months ago
Periodic Motion Detection and Estimation via Space-Time Sampling
A novel technique to detect and localize periodic movements in video is presented. The distinctive feature of the technique is that it requires neither feature tracking nor object...
Ashwin Thangali, Stan Sclaroff
ICPR
2004
IEEE
14 years 6 months ago
Velocity Adaptation of Space-Time Interest Points
The notion of local features in space-time has recently been proposed to capture and describe local events in video. When computing space-time descriptors, however, the result may...
Ivan Laptev, Tony Lindeberg
CVPR
2010
IEEE
14 years 1 months ago
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
Adriana Kovashka, Kristen Grauman