We propose a novel clustering scheme for spatio-temporal segmentation of sparse motion fields obtained from feature tracking. The approach allows for the segmentation of meaningfu...
—With the proliferation of motion capture data, interest in removing noise and outliers from motion capture data has increased. In this paper, we introduce an efficient human mo...
We are in the process of constructing a high resolution, high signal to noise ratio (SNR) dynamic MRI dataset for the human heart using methodology similar to that employed to cons...
John Moore, Maria Drangova, Marcin Wierzbicki, Ter...
A less studied component of gaze allocation in dynamic real-world scenes is the time lag of eye movements in responding to dynamic attention-capturing events. Despite the vast amou...
Eleonora Vig, Michael Dorr, Thomas Martinetz, Erha...
In this paper we propose an optimal and robust correlation technique for the local motion estimation purposes. It is based on the maximization of a statistical robust matching fun...
Fedwa Essannouni, Rachid Oulad Haj Thami, Ahmed Sa...