ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
This paper studies automatic segmentation of multiple
motions from tracked feature points through spectral embedding
and clustering of linear subspaces. We show that
the dimensi...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
Clustering performance can often be greatly improved by
leveraging side information. In this paper, we consider constrained
clustering with pairwise constraints, which specify
s...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
In this paper, we address the problem of segmenting data defined on a manifold into a set of regions with uniform properties. In particular, we propose a numerical method when the ...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
We study the scenario of a multiview setting, where several
calibrated views of a textured object with known surface
geometry are available. The objective is to estimate a
diffu...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
This paper presents a target tracking framework for unstructured
crowded scenes. Unstructured crowded scenes
are defined as those scenes where the motion of a crowd
appears to b...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
In this paper we describe a method to learn parameters
which govern pedestrian motion by observing video
data. Our learning framework is based on variational
mode learning and a...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
The concept of graph cuts is by now a standard method
for all sorts of low level vision problems. Its popularity is
largely due to the fact that globally or near globally optimal...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
This paper proposes a new approach for video stabilization.
Most existing video stabilization methods adopt
a framework of three steps, motion estimation, motion compensation
an...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
In this paper we present a combined approach for ob-
ject localization and classification. Our contribution is two-
fold. (a) A contextual combination of localization and clas-
...