Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4968743 | Computer Vision and Image Understanding | 2016 | 25 Pages |
Abstract
This paper provides a complete survey of the most relevant approaches for detecting all kind of stationary foreground objects. The aim of this survey is not to compare the existing methods, but to provide the information needed to get an idea of the state of the art in this field: kinds of stationary foreground objects, main challenges in the field, main datasets for testing the detection of stationary foreground, main stages in the existing approaches and algorithms typically used in such stages.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Carlos Cuevas, Raquel MartÃnez, Narciso GarcÃa,