149 search results - page 24 / 30 » Robust Incremental Subspace Learning for Object Tracking |
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ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
95
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Publication
We present an algorithm for multi-person tracking-bydetection
in a particle filtering framework. To address the
unreliability of current state-of-the-art object detectors, our
a...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
85
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FGR
2008
IEEE
15 years 4 months ago
2008
IEEE
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...