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» Tracking objects in video using motion and appearance models
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ECCV
2010
Springer
14 years 27 days ago
Human Attributes from 3D Pose Tracking
We show that, from the output of a simple 3D human pose tracker one can infer physical attributes (e.g., gender and weight) and aspects of mental state (e.g., happiness or sadness)...
CVPR
2011
IEEE
13 years 4 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg
PAMI
2006
193views more  PAMI 2006»
13 years 7 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
BMVC
2010
13 years 5 months ago
Active 3D Segmentation through Fixation of Previously Unseen Objects
We present an approach for active segmentation based on integration of several cues. It serves as a framework for generation of object hypotheses of previously unseen objects in n...
Mårten Björkman, Danica Kragic
CVIU
2008
216views more  CVIU 2008»
13 years 8 months ago
Recovering epipolar direction from two affine views of a planar object
The mainstream approach to estimate epipolar geometry from two views requires matching the projections of at least 4 non-coplanar points in the scene, assuming a full projective c...
Maria Alberich-Carramiñana, Guillem Aleny&a...