Automatic and real-time identification of unusual incidents is important for event detection and alarm systems. In today's camera surveillance solutions video streams are dis...
We present a data-driven, unsupervised method for unusual
scene detection from static webcams. Such time-lapse
data is usually captured with very low or varying framerate.
This ...
Michael D. Breitenstein, Helmut Grabner, Luc Van G...
A real-time adaptive non-parametric thresholding algorithm for change detection is proposed in this paper. Based on the estimation of the scatter of regions of change in a differe...
Abstract. In this paper we propose a method for automating the process of detecting regions of motion in a video sequence in real time. The main idea of this work is to detect moti...
A wavelet-based image-encoding is described which, when used in conjunction with the Di erence Engine (a customdesigned VLSI display processor) allows us to reconstruct an image i...
Patrick Marais, Edwin H. Blake, Alfons A. M. Kuijk