SIFT Vector Field Building Algorithm

Abstract

Object detection is an important part of computer vision research, which directly affects the follow-on object identification and tracking, analysis and understanding of the scene. In this paper, based on scale space theory and the SIFT feature matching algorithm, we propose a method to create a SIFT vector field. Through four different application scenarios we demonstrate the value of building a SIFT vector field in our moving object algorithm as the basis of our object detection approach.