Develo** an intelligent transportation system has attracted a lot of attention in the recent
past. Moreover, with the growing number of vehicles on the road most nations are adopting …

Selective background subtraction is the major problem associated with background
subtraction technique. For foreground detection, background modeling is used in many …

Abstract In Image Processing, a very trivial task is to detect the changes in the multiple
images of the same scene of a real time instant. The task is not only trivial but also very …

Recent studies have shown that deep neural networks (DNNs) can outperform state-of-the-
art algorithms for a multitude of computer vision tasks. However, the ability to leverage DNNs …

Deep neural networks (DNNs) have shown significant promise in different fields including
computer vision. Although previous research have demonstrated the ability of DNNs …

Object detection in the surveillance video is in favor of both researchers and industries due
to its wide benefits and broad usage in numerous applications. Human activity monitoring …

Object detection, which is a primary yet important step in applications including video
surveillance, gets difficult when the video of outdoor environment is influenced by …

There exists a Ghost region in the detection result of the traditional visual background
extraction (ViBe) algorithm, and the foreground extraction is prone to false detection or …

We present an illumination-compensation method to enable fast and reliable background
subtraction under sudden, local illumination changes in wide area surveillance videos. We …

Efficiency of most conventional background subtraction systems used in video surveillance
systems depends on the correct choice of a threshold. To prevent this dependency, a new …