Real time image compression for eye tracking applications

In this paper we consider the case of an embedded system connected to a CCD sensor inserted on glasses for precise eye tracking purposes. We describe an image compression algorithm and its implementation when considering the algorithm cost and the power consumption. The principle is to transmit a high resolution image while keeping a precise definition of the pupil edge in order to post process pupil localization. We compare performances between processors and FPGAs, and to demonstrate FPGAs allow data flow algorithms to reach the objectives with less power.