Simon Donné and his colleagues achieved significant speed-ups for Optical Flow, a widely used video analysis method, thanks to the use of GPUs and Quasar. Tracking an object through time is often still a hard task for a computer. One option is to use optical flow, which finds correspondences between two image frames: which pixel moves where? In general, these techniques compare local neighbourhoods and exploit global information to estimate these correspondences. The authors presented their new approach at the conference for Advanced Concepts for Intelligent Vision Systems (ACIVS) in Catania, Italy.
“Thanks to the Quasar platform we have both a CPU and GPU implementation of the approach. Therefore we achieve a speed-up factor of more than 40 compared to the existing pixel-based method” – ir. Simon Donné
“Fast and Robust Variational Optical Flow for High-Resolution Images using SLIC Superpixels“; Simon Donné, Jan Aelterman, Bart Goossens, Wilfried Philips in Lecture Notes in Computer Science, Advanced Concepts for Intelligent Vision Systems, 2015