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...
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...
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¬...
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...
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...