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» Detecting Carried Objects in Short Video Sequences
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CVPR
2011
IEEE
14 years 6 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
ICCV
2007
IEEE
15 years 3 months ago
Non-homogeneous Content-driven Video-retargeting
Video retargeting is the process of transforming an existing video to fit the dimensions of an arbitrary display. A compelling retargeting aims at preserving the viewers’ exper...
Lior Wolf, Moshe Guttmann, Daniel Cohen-Or
ICCV
2003
IEEE
15 years 11 months ago
Using Temporal Coherence to Build Models of Animals
This paper describes a system that can build appearance models of animals automatically from a video sequence of the relevant animal with no explicit supervisory information. The ...
Deva Ramanan, David A. Forsyth
114
Voted
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
15 years 3 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
CVPR
2000
IEEE
15 years 1 months ago
Scene Modeling for Wide Area Surveillance and Image Synthesis
We present a method for modeling a scene that is observed by a moving camera, where only a portion of the scene is visible at any time. This method uses mixture models to represen...
Anurag Mittal, Daniel P. Huttenlocher