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» Sequential Learning of Layered Models from Video
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 4 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
ICCV
2009
IEEE
14 years 9 months ago
Complex volume and pose tracking with probabilistic dynamical models and visual hull constraints
We propose a method for estimating the pose of a human body using its approximate 3D volume (visual hull) obtained in real time from synchronized videos. Our method can cope with ...
Norimichi Ukita, Michiro Hirai, Masatsugu Kidode
86
Voted
DCC
2010
IEEE
15 years 6 months ago
Estimation-Theoretic Delayed Decoding of Predictively Encoded Video Sequences
Current video coding schemes employ motion compensation to exploit the fact that the signal forms an auto-regressive process along the motion trajectory, and remove temporal redun...
Jingning Han, Vinay Melkote, Kenneth Rose
WACV
2005
IEEE
15 years 5 months ago
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance
Moving object detection is very important for video surveillance. In many environments, motion maybe either interesting (salient) motion (e.g., a person) or uninteresting motion (...
Ying-li Tian, Arun Hampapur
89
Voted
ICASSP
2009
IEEE
15 years 6 months ago
Visual saliency with side information
We propose novel algorithms for organizing large image and video datasets using both the visual content and the associated sideinformation, such as time, location, authorship, and...
Wei Jiang, Lexing Xie, Shih-Fu Chang