Template Match Object Detection for Inertial Navigation Systems

Wiedo Hu, Ahmed Mohamed Gharuib, Alaa El-Din Sayed Hafez

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DOI: 10.4236/pos.2011.22008                

Abstract

This paper devoted to propose template match object detection for inertial navigation systems (INS). The proposed method is an image processing technique to improve the precision of the INS for detecting and tracking the ground objects from flying vehicles. Template matching is one of the methods used for ground object detection and tracking. Robust and reliable object detection is a critical step of object recognition. This paper presents a proposed mathematical morphological template matching method for detection and tracking of ground objects. Our focus is on flying systems equipped with camera to capture photos for the ground and recognize it. The proposed method is independent on the altitude or the orientation of the object. The algorithm is simulated using Matlab program and the numerical experiments are shown which verify the object detection for a wide range altitude and orientation. The results show superiority of this method for identifying and recognizing the ground objects.

Keywords

Template Match, Hit / Miss Transform, INS

Conflicts of Interest

The authors declare no conflicts of interest.

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