For the purposes of foreground estimation, the true background model is unavailable in
many practical circumstances and needs to be estimated from cluttered image sequences …

According to the rapid spread of multimedia data and online observations by users, the
importance of researching on machine vision also, analyzing and automatic understanding …

Background subtraction is a mainstream algorithm for moving object detection in video
surveillance systems. It segments moving objects by using the difference between the …

We propose a new algorithm for moving object detection in the presence of challenging
dynamic background conditions. We use a set of fuzzy aggregated multifeature similarity …

Scene background initialization allows the recovery of a clear image without foreground
objects from a video sequence, which is generally the first step in many computer vision and …

The problem of unsupervised segmentation of multi-class regions can be significantly
boosted when they irregularly recur in multiple images. The existing segmentation methods …

In this paper, we introduce a Bayesian approach on multiple people localization in
multicamera systems. First, pixel-level features are extracted, which are based on physical …

In this paper, we propose a fast labeling algorithm based on block-based concepts. Because
the number of memory access points directly affects the time consumption of the labeling …

In this paper, we propose a novel search-free localization method based on 3-D Bayesian
saliency estimation. This method uses a new 3-D object tracking algorithm which includes …

To detect ship targets in dynamic sea backgrounds, a robust foreground detection method
based on background modeling combined with multiple features in the Fourier domain …