This paper proposes a novel region-based scheme for dynamically modeling time-evolving statistics of video background, leading to an effective segmentation of foreground moving ob...
Kristof Op De Beeck, Irene Y. H. Gu, Liyuan Li, Ma...
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
Abstract. Augmented Reality(AR) aims at merging the real and the virtual in order to enrich a real environment with virtual information. Augmentations range from simple text annota...
Kurt Cornelis, Marc Pollefeys, Maarten Vergauwen, ...
Abstract. Detecting moving objects against dynamic backgrounds remains a challenge in computer vision and robotics. This paper presents a surprisingly simple algorithm to detect ob...
It is well known that video material with a static background allows easier segmentation than that with a moving background. One approach to segmentation of sequences with a movin...
Andreas Krutz, Alexander Glantz, Thilo Borgmann, M...