CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
We present a model and an algorithm to detect salient regions in video taken from a moving camera. In particular, we are interested in capturing small objects that move independen...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
In this paper, we present a framework for 6D absolute scale motion and structure estimation of a multi-camera system in challenging indoor environments. It operates in real-time a...
BMVC
2000
13 years 8 months ago
2000
We describe a method to segment and depth order motion layers simultaneously in an image sequence. Previous approaches have tended to ignore the depth ordering issue or treat it a...
AVSS
2007
IEEE
14 years 1 months ago
2007
IEEE
This paper presents a new methodology for improving the tracking of multiple targets in complex scenes. The new method, Motion Parameter Sharing, incorporates social motion inform...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
We describe a real-time, low-cost system to localize a mobile robot in outdoor environments. Our system relies on stereo vision to robustly estimate frame-to-frame motion in real ...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
A video containing multiple objects in rotational and translational motion is analyzed through a combination of spatial and frequency domain representations. It is argued that the...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
We present a system that estimates the motion of a stereo head or a single moving camera based on video input. The system operates in real-time with low delay and the motion estim...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Our paper has two main contributions. Firstly, it presents a model for image sequences motivated by an image encoding perspective. It models accreted regions, where objects appear...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
This paper presents a new approach to computing dense depth and motion estimates from multiple images. Rather than computing a single depth or motion map from such a collection, w...