Title :
Background subtraction techniques: a review
Author :
Piccardi, Massimo
Author_Institution :
Comput. Vision Group, Univ. of Technol., Sydney, NSW, Australia
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;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1400815
