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CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
16 years 6 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
ICCV
2007
IEEE
15 years 10 months ago
Latent Model Clustering and Applications to Visual Recognition
We consider clustering situations in which the pairwise affinity between data points depends on a latent ”context” variable. For example, when clustering features arising fro...
Simon Polak, Amnon Shashua
CVPR
1998
IEEE
16 years 6 months ago
Efficient Multiple Model Recognition in Cluttered 3-D Scenes
We present a 3-D shape-based object recognition system for simultaneous recognition of multiple objects in scenes containing clutter and occlusion. Recognition is based on matchin...
Andrew Edie Johnson, Martial Hebert
ICCV
2011
IEEE
14 years 4 months ago
Learning Cross-modality Similarity for Multinomial Data
Many applications involve multiple-modalities such as text and images that describe the problem of interest. In order to leverage the information present in all the modalities, on...
Yangqing Jia, Mathieu Salzmann, Trevor Darrell
VMV
2001
147views Visualization» more  VMV 2001»
15 years 5 months ago
Model-based 3-D Shape and Motion Estimation Using Sliding Textures
Given an accurate 3-D shape model of a scene, the motion parameters of a moving camera can be recovered with high accuracy using model-based motion estimation techniques. Shape er...
Eckehard G. Steinbach, Peter Eisert, Bernd Girod