This paper presents a survey on the latest methods of moving object detection in video
sequences captured by a moving camera. Although many researches and excellent works …

Background subtraction is a widely used approach for detecting moving objects from videos
captured with static a camera. This chapter introduces the basic concept behind this …

Identifying moving objects is a critical task for many computer vision applications; it provides
a classification of the pixels into either foreground or background. A common approach used …

Background subtraction, although being a very well-established field, has required
significant research efforts to tackle unsolved challenges and to accelerate the progress …

During about 30 years, a lot of research teams have worked on the big challenge of
detection of moving objects in various challenging environments. First applications concern …

Moving object detection is the task of identifying the physical movement of an object in a
given region or area. Over last few years, moving object detection has received much of …

Moving object detection is a critical task for many computer vision applications: the objective
is the classification of the pixels in the video sequence into either foreground or background …

This paper presents an effective method for the detection and tracking of multiple moving
objects from a video sequence captured by a moving camera without additional sensors …

Detection of moving objects in a video captured by a freely moving camera is a challenging
problem in computer vision. Most existing methods often assume that the background (BG) …

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 …