Moving Objects Detection based on Presumption of the Amount of Edge Displacement

Abstract

This study is concerned with detection of objects in motion from time serial pictures of a 6-D of freedom motion monocular camera. As a point in real space throw an image on corresponding pixels of time serial pictures. So to solve this problem to find out the corresponding algorithm is essential. In this paper we proposed a new method of the detection of motion objects based on compensating background image shift caused by camera rotation and translation. The main point of this idea is, to take three pictures by the passive sensor (CCD camera) in three different times t_k, t_k+τ₁ and t_k+τ₂ while the platform is moving, by correcting them rotationally (also called vertical rectification) the rotation disparity will be excluded, and we get three parallel frames that will be matched through their geometrical constraint for the translation-distortion extraction.