CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Due to the capacity of pan-tilt-zoom (PTZ) cameras to
simultaneously cover a panoramic area and maintain high
resolution imagery, researches in automated surveillance
systems wi...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Modeling and recognizing landmarks at world-scale is a
useful yet challenging task. There exists no readily available
list of worldwide landmarks. Obtaining reliable visual
mode...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
We describe a novel device that can be used as a 2.5D
“scanner” for acquiring surface texture and shape. The device
consists of a slab of clear elastomer covered with a
refl...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
A novel particle filter, the Memory-based Particle Filter
(M-PF), is proposed that can visually track moving objects
that have complex dynamics. We aim to realize robustness
aga...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
We address the problem of label assignment in computer
vision: given a novel 3-D or 2-D scene, we wish to assign a
unique label to every site (voxel, pixel, superpixel, etc.). To...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
We present a novel framework for recognizing repetitive
sequential events performed by human actors with strong
temporal dependencies and potential parallel overlap. Our
solutio...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
In many image and video collections, we have access
only to partially labeled data. For example, personal photo
collections often contain several faces per image and a caption
t...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
In this paper we introduce a novel method to detect and
localize abnormal behaviors in crowd videos using Social
Force model. For this purpose, a grid of particles is placed
ove...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Many problems in computer vision can be modeled using
conditional Markov random fields (CRF). Since finding
the maximum a posteriori (MAP) solution in such models
is NP-hard, mu...