16 Apr 2014
Best paper award for Georg Nebehay and Roman Pflugfelder at WACV'14
We are happy to announce that Georg Nebehay and Roman Pflugfelder, who work on EPiCS at AIT, have receive the best paper award of the WACV'14 conference for their paper Consensus-based Matching and Tracking of Keypoints for Object Tracking.
Consensus-based Matching and Tracking of Keypoints (CMT) is an object tracking algorithm that is able to visually track a wide variety of object classes in a multitude of scenes without the need of adapting the algorithm to specific scenarios in any way. The novelty of our approach is a keypoint-based object representation, where each keypoint votes independently for the location of the object of interest. Experiments have shown that CMT is able to achieve excellent results on a dataset that is as large as 60 sequences. The Python implementation for this work is freely available under the BSD license here.
We congratulate Georg and Roman on this great success and recognition of their work!