|IEEE Workshop on Motion and Video Computing (WMVC)
|Tobias Senst, Volker Eiselein, Rubén Heras Evangelio, Thomas Sikora
|Robust Modified L2 Local Optical Flow Estimation and Feature Tracking
|This paper describes a robust method for the local optical flow estimation and the KLT feature tracking performed on the GPU. Therefore we present an estimator based on the L2 norm with robust characteristics. In order to increase the robustness at discontinuities we propose a strategy to adapt the used region size. The GPU implementation of our approach achieves real-time (>25fps) performance for High Definition (HD) video sequences while tracking several thousands of points. The benefit of the suggested enhancement is illustrated on the Middlebury optical flow benchmark.
|multimedia analysis, feature tracking, robust estimation, optical flow,RLOFLib
|IEEE Catalog Number: CFP11082-CDR