Research projects

My research interests lie at the intersection of automatic control, robotics and computer vision. I am particularly interested in applications of Riemannian geometry and in distributed problems involving teams of multiple agents.

Motion segmentation

By Roberto TronAugust 22nd, 2016in Research

My initial research included the comparison of different algorithms for segmenting multiple moving objects in a monocular video.  For this purpose,
I created the Hopkins 155 dataset, which, since its introduction, has been used in over 150 scholarly articles and is a de-facto standard benchmark in this field.
The following is a frame from the dataset, together with the manually labelled feature tracks.

 

A frame from the Hopkins dataset with superimposed tracks
A frame from the Hopkins dataset with superimposed tracks

 

Please refer to the dataset page on the JHU Vision Lab for more detailed information and download instructions.

Tagged: