The increasing number of video surveillance cameras is challenging video control systems.
Monitoring centers require tools to guide the process of supervision. Different video analysis …

The paper presents an idea of real-time video stream analysis which leads to the detection
and tracking of suspicious objects that have been left unattended, which is one of the most …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

Intelligent surveillance has become an important research issue due to the high cost and
low efficiency of human supervisors, and machine intelligence is required to provide a …

Image-based surveillance systems are widely employed toward safety and security
applications in many fields. Cameras, that are connected over an IP network for monitoring …

Background subtraction is a key prerequisite for a wide range of image processing
applications due to its pervasiveness in various contexts. In particular, video surveillance …

Background Modeling forms a central module in systems using Computer Vision to detect
events of interest in a video stream. Most current methods use only the intensity observed at …

Video monitoring systems are a necessity in the modern times. Although some people object
the idea of 'being watched', surveillance systems actually improve the level of public …

Most of the automated video-surveillance applications are based on background (BG)
subtraction techniques, that aim at distinguishing moving objects in a static scene. These …

BACKGROUND In some conventional intelligent video Surveillance sys tems, a first set of
video processing algorithms is used to detect, track, and classify objects while a second set …