Moving Path Estimation from Video Sequences

Abstract

The aim of the study is estimating a robot's path from its camera sequences. Firstly, Scale Invariant Feature Transform - SIFT method was used to detect the identical points of the successive frames. The histograms of the coordinate differences of the matched points are used for estimating the path. The respective pathway was represented in two dimensional spaces by directional combining of the matched (identical) points. The goal of the experiment is to be able to achieve a comparison of the experimental path and theoretical path of a certain object that holding a camera. The experimental results show, the path estimation by using successive images is applicable in static environments, but in the dynamic environments, the generated paths are very noisily.