Moving object segmentation (MOS) is the process of identifying dynamic objects from video
frames, such as moving vehicles or pedestrians, while discarding the background. It plays …

Foreground detection (FD) plays an important role in the domain of video surveillance for
highway. The design of advanced FD algorithms requires large-scale and diverse video …

In this article, we put forth a unique attempt to detect the local changes in challenging video
scenes by exploring the capabilities of an encoder-decoder type network that employs a …

Background subtraction is a crucial stage in many visual surveillance systems. The prime
objective of any such system is to detect local changes, and the system could be utilized to …

A roadside sensing unit can provide over-the-horizon perception information for
autonomous vehicles due to its high perception perspective. However, numerous …

Local change detection for moving object detection is an essential step in any computer
vision task. The most well-known technique is background subtraction BGS. However, the …

Moving object detection is a fundamental task in many video processing applications, such
as video surveillance. The robustness and efficiency of background subtraction make it one …

Unmanned aerial vehicles (UAV) and ground vehicles (UGV) require advanced video
analytics for various tasks, such as moving object detection and segmentation; this has led …

This article presents a new deep-learning architecture based on an encoder-decoder
framework that retains contrast while performing background subtraction (BS) on thermal …

Human monitoring of surveillance cameras for anomaly detection may be a monotonous
task as it requires constant attention to judge if the captured activities are anomalous or …