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» To learn representativeness of video frames
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CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen
PAMI
2002
187views more  PAMI 2002»
14 years 11 months ago
Human Activity Recognition Using Multidimensional Indexing
In this paper, we develop a novel method for view-based recognition of human action/activity from videos. By observing just a few frames, we can identify the activity that takes pl...
Jezekiel Ben-Arie, Zhiqian Wang, Purvin Pandit, Sh...
CVPR
2011
IEEE
14 years 7 months ago
action recognition by dense trajectories
Feature trajectories have shown to be efficient for representing videos. Typically, they are extracted using the KLT tracker or matching SIFT descriptors between frames. However,...
Heng Wang, Alexander Kläser, Cordelia Schmid, Che...
ISBI
2008
IEEE
16 years 15 days ago
A learning based hierarchical model for vessel segmentation
In this paper we present a learning based method for vessel segmentation in angiographic videos. Vessel Segmentation is an important task in medical imaging and has been investiga...
Richard Socher, Adrian Barbu, Dorin Comaniciu
CVPR
2011
IEEE
14 years 9 months ago
Learning Better Image Representations Using 'Flobject Analysis'
Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
Inmar Givoni, Patrick Li, Brendan Frey