Comparison of background extraction based intrusion detection algorithms

Author

Makarov, Aleksej

Author_Institution

Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

521

Abstract

Several pelwise motion detectors are reviewed in this paper. They are compared in the context of intrusion detection in indoor scenes. The presented motion detection algorithms are based on a pelwise detection of changes in the observed input frame with respect to a recursively updated background. The same global decision module is applied to the outputs of the respective pelwise change detectors. The overall performance is shown to depend on the type of the pelwise temporal filter, and on the image features applied to it

Keywords

alarm systems; feature extraction; image recognition; motion estimation; object detection; safety systems; background extraction based intrusion detection algorithms; global decision module; image features; indoor scenes; intrusion detection; motion detection algorithms; observed input frame; pelwise motion detectors; pelwise temporal filter; recursively updated background; Change detection algorithms; Counting circuits; Detection algorithms; Detectors; Filters; Intrusion detection; Layout; Motion detection; Object detection; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559548

Filename

559548