We address the problem of variational optical flow for video processing applications that need fast operation and robustness to drastic variations in illumination. Recently, a sol...
—Moving object detection is very important for video surveillance. In this paper, we present a new real time motion detection algorithm that is based on the integration of accumu...
In this paper, we propose a novel dynamic discrete framework to address image morphing with application to optical flow estimation. We reformulate the problem using a number of di...
Ben Glocker, Nikos Paragios, Nikos Komodakis, Geor...
In this paper, a new methodology for optical flow estimation that is able to represent multiple motions is presented. To separate motions at the same location, a new frequency-dom...
We present an efficient and accurate object tracking algorithm based on the concept of graph cut segmentation. The ability to track visible objects in real-time provides an inval...