Background subtraction is an effective method of choice when it comes to detection of
moving objects in videos and has been recognized as a breakthrough for the wide range of …

In video surveillance, the moving human detection in thermal video is a critical phase that
filters out redundant information to extract relevant information. The moving object detection …

Moving object detection is a fundamental task and extensively used research area in
modern world computer vision applications. Background subtraction is one of the widely …

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 …

In recent years, background subtraction techniques have been used in vision and image
applications for moving target detection. However, most methods cannot provide fine results …

In this survey, we compile a list of publicly available infrared image and video sets for
artificial intelligence and computer vision researchers. We mainly focus on IR image and …

In a video surveillance system, background modeling is assumed to be a fundamental
technique for moving object detection. The surveillance system based on thermal video …

In order to detect dim and small infrared targets from a mass of high-resolution images of
omni-directional Infrared Search and Track (IRST) systems rapidly and accurately, a fast …

Under special conditions such as night, rain, and fog, visible light imaging technology often
performs poorly, while radar and other imaging technologies are limited due to their high …

The detection of moving objects is a crucial step for many video surveillance applications
whether using a visible camera (VIS) or an infrared (IR) one. In order to profit from both …