During about 30 years, a lot of research teams have worked on the big challenge of
detection of moving objects in various challenging environments. First applications concern …

This paper proposes a video-based smoke detection technique for early warning in antifire
surveillance systems. The algorithm is developed to detect the smoke behavior in a …

Motion object detection (MOD) with freely moving cameras is a challenging task in computer
vision. To extract moving objects, most studies have focused on the difference in motion …

With increasing popularity of smart phone cameras and wearable cameras, it is imperative to
develop robust vision systems in analyzing videos captured by these freely moving cameras …

Accepted: 20 September 2020 In the current era, the implementation of automated security
video surveillance systems is particularly needy in terms of human violence recognition …

Moving object detection under a moving camera is a challenging question, especially in a
complex background. This paper proposes a background orientation field reconstruction …

Video foreground detection (VFD), as one of the basic pre-processing tasks, is very essential
for subsequent target tracking and recognition. However, due to the interference of shadow …

Moving object detection in a video plays an important role in many vision applications.
Recently, moving object detection using appearance modeling based on a convolutional …

Visual background extraction algorithm (ViBe) uses the first frame image to initialize the
background model, which can easily introduce the “ghost”. Because ViBe uses the fixed …

This paper presents a new system to detect changes between reference and target videos
suitable for small-scale datasets. Twin pre-trained ResNet-50 features are processed using …