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Object tracking project

Required functionalities

Groups with 2 students need to implement only:

Tracking of objects in a simple sequence
Management of object identity
Evaluation of results, e.g., relative to ground truth

Groups with 3 students must, in addition to the above, implement functionality that can deal with either of

shadows / reflections
more than one background model to manage spurious motions
occlusions, e.g., using predition or ground plane modeling

Data sets

There are several data sets for motion analysis available on the internet, but we recommend that you use the following

In addition to these, there is also a dataset produced in the IVSS project which is available only from our local file system, e.g., if you are in the student computer halls at ISY. These sequences contain signficant amount of shadows, both in terms of the moving objects that cast shadows on the background and features of the background that cast shadows onto the moving objects. The path to the sequences are:

/site/edu/bb/ComputerVision/sequences/ivss/

The sequences in this folder are

harder1, images 1 to 2800. With changing lighting conditions, from overcast to moving scattered clouds. Shadows appearing and disappering. People fetching parked trucks.
harder2, images 1 to 941. An interesting challenge, don't start with this one!
Renova_20070907_081432_Cam10_0005, images 1 to 1901. Shadows.
Renova_20080420_083025_Cam10_0000, images 1 to 1101. Shadows.
Renova_20080618_083045_Cam10_0002, images 1 to 2101. Almost no shadows, no reflections, interesting occlusion starting at frame 1255. Suitable for something to start with.

If you have set up the paths in Matlab properly, each image can be loaded, e.g., by

>> imread(sprintf('dataRenova_20080420_083025_Cam10_0000_%05d.jpg', frameid));