Conventional neural networks have been demonstrated to be a powerful framework for
background subtraction in video acquired by static cameras. Indeed, the well-known Self …

Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

摘要随着摄像头安装数量的日益增多, 以及智慧城市和公共安全需求的日益增长,
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …

It is important for marine scientists and conservationists to frequently estimate the relative
abundance of fish species in their habitats and monitor changes in their populations. As …

Change detection is one of the most important low-level tasks in video analytics. In 2012, we
introduced the changedetection. net (CDnet) benchmark, a video dataset devoted to the …

Gait recognition is beneficial for a variety of applications, including video surveillance, crime
scene investigation, and social security, to mention a few. However, gait recognition often …

Foreground/background segmentation via change detection in video sequences is often
used as a stepping stone in high-level analytics and applications. Despite the wide variety of …

We present a survey on maritime object detection and tracking approaches, which are
essential for the development of a navigational system for autonomous ships. The electro …

Background subtraction (BS) is a crucial step in many computer vision systems, as it is first
applied to detect moving objects within a video stream. Many algorithms have been …

This paper presents a technique for motion detection that incorporates several innovative
mechanisms. For example, our proposed technique stores, for each pixel, a set of values …