In nearshore applications, the estimation of currents is of primary importance since it controls the sediment transport and coastal evolution. Direct estimation of currents using in-situ instruments is difficult and costly. Low cost remote sensing systems based on video observations constitute a promising alternative when the drifting sea foam left after the passage of breaking waves is visible. Only few methods have been proposed in the literature to take advantage of this. In this paper we describe two new methods: one based on the full video frames and one based on longshore timestacks that necessitates less data. The first approach is an extension of Particle Image Velocimetry method. The second approach uses the Radon transform applied on the time series derived from timestacks to produce an estimate of the longshore component of nearshore surface currents detected from the foam signature in video images. The videos used in this article come from a field campaign conducted in the Mataquito rivermouth area in the Maule region (Chile). They are part of a study on the post-tsunami coastal recovery of the Mataquito area after 2010 Chilean Tsunami. Field tests comparison was also made against in-situ current meter from the 2008 Truc Vert experiment in Aquitaine (France). It took place during a tempest which has provoked a sandbar evolution.