Comparison of background extraction based intrusion detection algorithms

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.