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» Unsupervised Learning of Invariant Features Using Video
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Publication
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11 years 10 months ago
Person Re-Identification: What Features are Important?
State-of-the-art person re-identi cation methods seek robust person matching through combining various feature types. Often, these features are implicitly assigned with a single ve...
Chunxiao Liu, Shaogang Gong, Chen Change Loy, Xing...
CVPR
2006
IEEE
14 years 9 months ago
Unsupervised Bayesian Detection of Independent Motion in Crowds
While crowds of various subjects may offer applicationspecific cues to detect individuals, we demonstrate that for the general case, motion itself contains more information than p...
Gabriel J. Brostow, Roberto Cipolla
ICIP
2001
IEEE
14 years 9 months ago
Non-sequential video structuring based on video object linking: an efficient tool for video browsing and indexing
An efficient system for unsupervised structuring of stereoscopic sequences is presented in this paper, which generates links between similar VOPs of different shots. Particularly ...
Klimis S. Ntalianis, Nikolaos D. Doulamis, Anastas...
CVPR
2010
IEEE
14 years 4 months ago
Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics
Classification of images in many category datasets has rapidly improved in recent years. However, systems that perform well on particular datasets typically have one or more lim...
Christopher Kanan, Garrison Cottrell
CVPR
2009
IEEE
15 years 2 months ago
Echocardiogram View Classification using Edge Filtered Scale-invariant Motion Features
In an 2D echocardiogram exam, an ultrasound probe samples the heart with 2D slices. Changing the orientation and position on the probe changes the slice viewpoint, altering the ...
Ritwik Kumar, Fei Wang, David Beymer, Tanveer Fath...