Research >> Illumination-invariant tracking


Illumination-invariant tracking


Tracking through sharp illumination changes is a challenging task, particularly
if the algorithm relies on photometric information. We pose the problem based
on computing optical flow in an illumination-insensitive manner, using the "pairs
of pairs" technique. The relevant energy function can be minimized using graph cuts,
yielding a highly robust algorithm.


Faculty: Daniel Freedman
Student: Matt Turek





D. Freedman and M. Turek. Illumination-invariant tracking via graph cuts. In IEEE
Computer Society Conference on Computer Vision and Pattern Recognition
volume 2, pages 10-17, 2005. [ pdf ] [ bib ]


Home | People | Research | Publications | Contact | News/Events | Download | Links