Sciweavers

TCSV
2002
124views more  TCSV 2002»
14 years 8 months ago
Fast and automatic video object segmentation and tracking for content-based applications
The new video-coding standard MPEG-4 enables content-based functionality, as well as high coding efficiency, by taking into account shape information of moving objects. A novel alg...
Changick Kim, Jenq-Neng Hwang
ICPR
2008
IEEE
15 years 10 months ago
Background modelling in demanding situations with confidence measure
Background subtraction is a popular technique in video surveillance. In order to use it, a background model must be built and updated according to light and scenario changes. We d...
Juan Alfonso Rosell Ortega, Gabriela Andreu Garc&i...
ICIP
2003
IEEE
15 years 10 months ago
Towards practical Wyner-Ziv coding of video
In current interframe video compression systems, the encoder performs predictive coding to exploit the similarities of successive frames. The Wyner-Ziv Theorem on source coding wi...
Anne Aaron, Eric Setton, Bernd Girod
CVPR
2007
IEEE
15 years 10 months ago
On the Direct Estimation of the Fundamental Matrix
The fundamental matrix is a central construct in the analysis of images captured from a pair of cameras and many feature-based methods have been proposed for its computation. In t...
Yaser Sheikh, Asaad Hakeem, Mubarak Shah
CVPR
2007
IEEE
15 years 10 months ago
Learning Features for Tracking
We treat tracking as a matching problem of detected keypoints between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to i...
Michael Grabner, Helmut Grabner, Horst Bischof
94
Voted
CVPR
2001
IEEE
15 years 10 months ago
Evolving Image Segmentations for the Analysis of Video Sequences
A methodology for the segmentation of successive frames of a video sequence is presented. Traditional methods, treating each frame in isolation, are computationally expensive, ign...
A. A. Clark, Barry T. Thomas
CVPR
2001
IEEE
15 years 10 months ago
Support Vector Tracking
Support Vector Tracking (SVT) integrates the Support Vector Machine (SVM) classifier into an optic-flow-based tracker. Instead of minimizing an intensity difference function betwee...
Shai Avidan