149 search results - page 17 / 30 » Robust Incremental Subspace Learning for Object Tracking |
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changin...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
Online learned tracking is widely used for it’s adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of erro...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a novel approach to non-rigid structure from motion (NRSFM) from an orthographic video sequence, based on a new interpretation of the problem. Existing approaches assum...
AVSS
2006
IEEE
13 years 11 months ago
2006
IEEE
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...