Mean-shift tracking plays an important role in computer vision applications because of its
robustness, ease of implementation and computational efficiency. In this study, a fully …

Background subtraction is considered the first processing stage in video surveillance
systems, and consists of determining objects in movement in a scene captured by a static …

Detecting objects in shadows is a challenging task in computer vision. For example, in clear
path detection application, strong shadows on the road confound the detection of the …

Background subtraction is a widely used technique for segmenting a foreground object from
its background. The aim of this paper is to review and compare the performance of the most …

Gaussian mixture model (GMM) is an effective way to extract moving object from a video
sequence. However, the conventional mixture Gaussian method suffers from slow …

​ Immer mehr Konsumenten nutzen das Internet, um sich miteinander zu vernetzen und
Meinungen zu diskutieren. Der interaktive Meinungsaustausch hat einen hohen Einfluss auf …

In this paper, we tackle the shadow problem in depth for a better foreground segmentation.
We propose a novel variant of co-training technique for shadow detection and removal in …

Automatic detection and tracking of objects get more important with the increasing number of
surveillance cameras and mobile platforms having cameras. Tracking systems are either …

In this paper, we propose a precise synthetic ground truth dataset to study the problem of
detection of the shadows cast by static objects in outdoor environments during extended …

In some automatic scene analysis applications, the presence of shadows becomes a
nuisance that is necessary to deal with. As a consequence, a preliminary stage in many …