Motion segmentation

in Research
August 22nd, 2016

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.

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