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WACV
2005
IEEE
13 years 11 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
WACV
2005
IEEE
13 years 11 months ago
Incorporating Object Tracking Feedback into Background Maintenance Framework
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...
Leonid Taycher, John W. Fisher III, Trevor Darrell
WACV
2005
IEEE
13 years 11 months ago
Gait Verification Using Probabilistic Methods
In this paper we describe a novel method for gait based identity verification based on Bayesian classification. The verification task is reduced to a two class problem (Client or ...
Alex I. Bazin, Mark S. Nixon
WACV
2005
IEEE
13 years 11 months ago
Measures of Similarity
Quantitative evaluation and comparison of image segmentation algorithms is now feasible owing to the recent availability of collections of hand-labeled images. However, little att...
Ranjith Unnikrishnan, Martial Hebert
WACV
2005
IEEE
13 years 11 months ago
Multi-View Face Tracking with Factorial and Switching HMM
Dynamic face pose change and noise make it difficult to track multi-view faces in a cluttering environment. In this paper, we propose a graphical model based method, which combin...
Peng Wang, Qiang Ji