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» Activity recognition using temporal evidence theory
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IJON
2002
120views more  IJON 2002»
13 years 8 months ago
The recognition and analysis of animate objects using neural networks and active contour models
: In this paper we describe a method for tracking walking humans in the visual field. Active contour models are used to track moving objects in a sequence of images. The resulting ...
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
CVPR
2010
IEEE
13 years 6 months ago
Group motion segmentation using a Spatio-Temporal Driving Force Model
We consider the `group motion segmentation' problem and provide a solution for it. The group motion segmentation problem aims at analyzing motion trajectories of multiple obj...
Ruonan Li, Rama Chellappa
IMC
2007
ACM
13 years 10 months ago
Using uncleanliness to predict future botnet addresses
The increased use of botnets as an attack tool and the awareness attackers have of blocking lists leads to the question of whether we can effectively predict future bot locations...
M. Patrick Collins, Timothy J. Shimeall, Sidney Fa...
CVPR
2003
IEEE
14 years 10 months ago
Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition
Video-based recognition and prediction of a temporally extended activity can benefit from a detailed description of high-level expectations about the activity. Stochastic grammars...
David Minnen, Irfan A. Essa, Thad Starner
AAAI
2006
13 years 10 months ago
Simultaneous Team Assignment and Behavior Recognition from Spatio-Temporal Agent Traces
This paper addresses the problem of activity recognition for physically-embodied agent teams. We define team activity recognition as the process of identifying team behaviors from...
Gita Sukthankar, Katia P. Sycara