A rapid anomalous region extraction method by iterative projection onto kernel eigenspace
Satoshi Kawabata, Shinsaku Hiura, Kosuke Sato · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 2008
In computer vision, background subtraction method is widely used to extract a changing region in a scene. However, it is difficult to simply apply this method to a scene with moving background object, because such object may be extracted as a changing region. Therefore, a method has been proposed to estimate both current background image and occluding object region simultaneously by using eigenspace-based background representation. On the other hand, image completion method using eigenspace have been extended to non-linear subspace using kernel trick, however, such existing method takes large computational cost. Therefore, in this paper, we propose a method for rapid simultaneous estimation of a background image and occluded region in non-linear space, using the kernel trick and iterative projection.