Title :
Comparison of background extraction based intrusion detection algorithms
Author :
Makarov, Aleksej
Author_Institution :
Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
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;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559548
