@inproceedings{aea808340a0d4fa88f14db7f7dbc9374,
title = "PID-based regulation of background dynamics for foreground segmentation",
abstract = "In the area of foreground and background segmentation the dynamics of a scene often influence the model of the background. There exist different methods trying to overcome the difficulty in estimating and handling these dynamics. In this paper, we propose an adaption of proportional-integralderivative (PID) controllers to this regulation problem. In our approach, PID controllers regulate the decision threshold of the background dynamics and the update rate of the background model. The regulators are integrated in the Pixel-based Adaptive Segmenter (PBAS), which is publicly available and offers good results in the Change Detection challenge. We show that the performance of the PBAS can be further improved through an empirical tuning of the single PID constants.",
keywords = "PBAS, PID, change detection, controller, foreground segmentation",
author = "Philipp Tiefenbacher and Martin Hofmann and Daniel Merget and Gerhard Rigoll",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",
year = "2014",
month = jan,
day = "28",
doi = "10.1109/ICIP.2014.7025664",
language = "English",
series = "2014 IEEE International Conference on Image Processing, ICIP 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3282--3286",
booktitle = "2014 IEEE International Conference on Image Processing, ICIP 2014",
}