Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …

Visual change detection, aiming at segmentation of video frames into foreground and
background regions, is one of the elementary tasks in computer vision and video analytics …

Learning-based infrared small object detection methods currently rely heavily on the
classification backbone network. This tends to result in tiny object loss and feature …

Background subtraction (BGS) is a fundamental video processing task which is a key
component of many applications. Deep learning-based supervised algorithms achieve very …

Moving object detection is the foundation of research in many computer vision fields. In
recent decades, a number of detection methods have been proposed. Relevant surveys …

Moving object segmentation (MOS), aiming at segmenting moving objects from video
frames, is an important and challenging task in computer vision and with various …

Background subtraction is a prevalent way of dealing with detecting the local changes from
video scenes. Background subtraction divides an image frame into foreground and …

Abstract Moving Object Segmentation (MOS) is an important topic in computer vision. MOS
becomes a challenging problem in the presence of dynamic background and moving …

Unmanned Aerial Vehicles (UAVs) are the promising “Flying IoT” devices of the future, which
can be equipped with various sensors and cognitive capabilities to perform numerous tasks …

In real-time based smart video surveillance system, the moving human detection in thermal
video is a critical task that filters out redundant information and extracts exigent information …