Towards real-time motion estimation in high-definition video based on points of interest

Currently used motion estimation is usually based on a computation of optical flow from individual images or short sequences. As these methods do not require an extraction of the visual description in points of interest, correspondence can be deduced only by the position of such points. In this paper, we propose an alternative motion estimation method solely using a binary visual descriptor. By tuning the internal parameters, we achieve either a detection of longer time series or a higher number of shorter series in a shorter time. As our method uses the visual descriptors, their values can be directly used in more complex visual detection tasks.