Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …

Real-time moving object detection is an emerging method in Industry 5.0, that is applied in
video surveillance, video coding, human-computer interaction, IoT, robotics, smart home …

Background modeling and subtraction, the task to detect moving objects in a scene, is a
fundamental and critical step for many high level computer vision tasks. However …

Background subtraction is a powerful mechanism for moving object detection. In addition to
the most popular dynamic background scenes and abrupt lighting condition limitations for …

Background subtraction technique is commonly used in foreground segmentation problem.
Most of the existing color or intensity feature-based background subtraction methods suffer …

An adaptive fusion scheme of color and edge features for background subtraction Page 1
An Adaptive Fusion Scheme of Color and Edge Features for Background Subtraction …

In the paper the task of 3D reconstruction of the cultural heritage objects, historical and
cultural monuments is considered. The problems of performing this task in the complex …

Segmentation of foreground objects using background subtraction methods is popularly
used in a wide variety of application areas such as surveillance, tracking, and human pose …

In this paper, we propose Local Adaptive Hybrid Pattern (LAHP) to use intrinsic properties,
both edge and color, of each pixel adaptively (inspired from LHP based methods) while …

In this paper, we propose a novel edge descriptor method for background modeling. In
comparison to previous edge-based local-pattern methods, it is more robust to noise and …