| Paper: | WP-L5.5 |
| Session: | Motion Detection and Estimation III |
| Time: | Wednesday, September 19, 16:10 - 16:30 |
| Presentation: |
Lecture
|
| Title: |
TRACKING BY COMBINING PHOTOMETRIC NORMALIZATION AND COLOR INVARIANTS ACCORDING TO THEIR RELEVANCE. |
| Authors: |
Michèle Gouiffès; IEF / University of Orsay | | |
| Abstract: |
This paper addresses the problem of robust feature points tracking by using specific color invariants when they are relevant and photometric normalization in the opposite case. Indeed, most color invariants become noisy or irrelevant for low saturation and/or low intensity. They can even make tracking fail. We use color invariants available for specular reflections occurrence, lighting changes, and changes of camera gains. To some extent, they are also robust against color lighting changes. Combining them with luminance information yields to a more performant tracking, whatever the lighting conditions are. Some experiments on real image sequences prove the efficiency of this procedure. |
