Background subtraction (BS) is a crucial step in many computer vision systems, as it is first
applied to detect moving objects within a video stream. Many algorithms have been …

Most of video-surveillance based applications use a foreground extraction algorithm to
detect interest objects from videos provided by static cameras. This paper presents a …

The objective of this study is to compare several change detection methods for a monostatic
camera and identify the best method for different complex environments and backgrounds in …

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 (BS) is one of the most commonly encountered tasks in video
analysis and tracking systems. It distinguishes the foreground (moving objects) from the …

Motion analysis of moving targets is an important issue in several applications such as video
surveillance or robotics. Background subtraction is one of the simplest and widely used …

Vehicle detection applications play an important role in the reduction of the number of road
accidents. In the same vein, this paper tends to summarize the recent advances in vehicle …

There are several approaches for performance evaluation of image processing algorithms in
video-based surveillance systems: Precision/Recall, Receiver Operator Characteristics …

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 …

An important issue faced while employing Pyroelectric InfraRed (PIR) sensors in an outdoor
Wireless Sensor Network (WSN) deployment for intrusion detection, is that the output of the …