Compressive sensing based velocity estimation in video data
Multimedia
2015-02-24 v1
Abstract
This paper considers the use of compressive sensing based algorithms for velocity estimation of moving vehicles. The procedure is based on sparse reconstruction algorithms combined with time-frequency analysis applied to video data. This algorithm provides an accurate estimation of object's velocity even in the case of a very reduced number of available video frames. The influence of crucial parameters is analysed for different types of moving vehicles.
Cite
@article{arxiv.1502.06103,
title = {Compressive sensing based velocity estimation in video data},
author = {Ana Miletic and Nemanja Ivanovic},
journal= {arXiv preprint arXiv:1502.06103},
year = {2015}
}
Comments
4 pages, 5 figures