DocumentCode
2681458
Title
Background subtraction techniques: a review
Author
Piccardi, Massimo
Author_Institution
Comput. Vision Group, Univ. of Technol., Sydney, NSW, Australia
Volume
4
fYear
2004
fDate
10-13 Oct. 2004
Firstpage
3099
Abstract
Background subtraction is a widely used approach for detecting moving objects from static cameras. Many different methods have been proposed over the recent years and both the novice and the expert can be confused about their benefits and limitations. In order to overcome this problem, this paper provides a review of the main methods and an original categorisation based on speed, memory requirements and accuracy. Such a review can effectively guide the designer to select the most suitable method for a given application in a principled way. Methods reviewed include parametric and non-parametric background density estimates and spatial correlation approaches.
Keywords
feature extraction; image motion analysis; object detection; background density estimation; background subtraction technique; object detection; spatial correlation; static cameras; Australia; Cameras; Computer vision; Filters; Geometry; Information technology; Layout; Object detection; Subtraction techniques; Videos;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-8566-7
Type
conf
DOI
10.1109/ICSMC.2004.1400815
Filename
1400815
Link To Document