Sciweavers

521 search results - page 16 / 105
» Foreground Object Detection Using Two Successive Images
Sort
View
89
Voted
ICIP
2004
IEEE
15 years 11 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
ICASSP
2011
IEEE
14 years 1 months ago
Feature-based global motion estimation using the Helmholtz principle
Global motion estimation is an important task for various video processing techniques. The estimation itself has to be robust in presence of arbitrarily moving foreground objects....
Michael Tok, Alexander Glantz, Andreas Krutz, Thom...
ACIVS
2008
Springer
15 years 3 months ago
Video-Based Fall Detection in the Home Using Principal Component Analysis
This paper presents the design and real-time implementation of a fall-detection system, aiming at detecting fall incidents in unobserved home situations. The setup employs two fix...
Lykele Hazelhoff, Jungong Han, Peter H. N. de With
CVPR
2004
IEEE
15 years 11 months ago
Robust Color Object Detection Using Spatial-Color Joint Probability Functions
Object detection in unconstrained images is an important image understanding problem with many potential applications. There has been little success in creating a single algorithm...
David J. Crandall, Jiebo Luo
NIPS
2001
14 years 10 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona