Image Based Velocity Estimation by Feature Extraction and Sub-Pixel Image Matching

Abstract

Image based techniques are wide area of research in present era. Motion is an integral part of daily visual experience. Velocity estimation of moving object by taking images at different time interval and at different altitude is the goal of this paper. After image acquisition feature extraction and feature matching are applied on captured images. Feature based methods will reduce the complexity of processing, by selecting only some unique feature. In this paper corners are selected as a feature to be extracted. Matching is key step in many applications like image mosaic, image registration, motion estimation etc. All feature based methods have matching point till “one-pixel”. In this paper a sub-pixel matching is applied using surface fitting equation along with Normalized-crosscorrelation (NCC). Feature extraction is done using Kanade- Lucas-Tomasi (KLT) feature extraction method. Surface fitting equation is used to find more accurate feature point. Matching is done using NCC. This method is robust and efficient for velocity estimation.