332 search results - page 35 / 67 » Unsupervised Learning of Object Features from Video Sequence... |
CVPR
2010
IEEE
14 years 23 days ago
2010
IEEE
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
CAIP
2007
Springer
14 years 1 months ago
2007
Springer
We propose a dominant-feature based matching method for capturing a target in a video sequence through the dynamic decomposition of the target template. The target template is segm...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
We estimate the speed of texture change by measuring the spread of texture vectors in their feature space. This method allows us to robustly detect even very slow moving objects. B...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...