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 …

Background modeling for foreground detection is often used in different applications to
model the background and then detect the moving objects in the scene like in video …

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 …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …

Object detection is a fundamental step for automated video analysis in many vision
applications. Object detection in a video is usually performed by object detectors or …

This survey reviews advances in human motion capture and analysis from 2000 to 2006,
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …

We present a real-time algorithm for foreground–background segmentation. Sample
background values at each pixel are quantized into codebooks which represent a …

Accurate detection of moving objects is an important precursor to stable tracking or
recognition. In this paper, we present an object detection scheme that has three innovations …

Background modeling is an important component of many vision systems. Existing work in
the area has mostly addressed scenes that consist of static or quasi-static structures. When …