PID-BASED REGULATION OF BACKGROUND DYNAMICS FOR FOREGROUND SEGMENTATION

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-integral-derivative (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.