Sciweavers

1062 search results - page 27 / 213
» Background Subtraction on Distributions
Sort
View
CVPR
2004
IEEE
14 years 10 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
CVPR
2005
IEEE
14 years 10 months ago
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Ying-li Tian, Max Lu, Arun Hampapur
PAMI
2011
12 years 11 months ago
Silhouette Segmentation in Multiple Views
ā€” In this paper, we present a method for extracting consistent foreground regions when multiple views of a scene are available. We propose a framework that automatically identiļ¬...
Wonwoo Lee, Woontack Woo, Edmond Boyer
ACCV
2007
Springer
14 years 2 months ago
Identifying Foreground from Multiple Images
In this paper, we present a novel foreground extraction method that automatically identiļ¬es image regions corresponding to a common space region seen from multiple cameras. We as...
Wonwoo Lee, Woontack Woo, Edmond Boyer
ICASSP
2010
IEEE
13 years 7 months ago
Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power floori
This paper presents a new robust feature extraction algorithm based on a modiļ¬ed approach to power bias subtraction combined with applying a threshold to the power spectral dens...
Chanwoo Kim, Richard M. Stern