A Real Time Adaptive Template Matching Algorithm in UAV Navigation Using a SoC System

Abstract

Computer vision techniques employing convolution techniques are widely used to identify objects and patterns in images. This work describes an Adaptive Template Matching algorithm for tracking marks in videos. A SoC implementation is also presented for a non-adaptive case. The window used for searching a template is reduced, presuming that the template should not be far from its location in the previous frame. The proposed algorithm allows the identification through Normalized Cross-Correlation metric. The initial proposal is a computer-based implementation using computer vision libraries. As an alternative for the high time of processing, an alternative SoC implementation is presented. The results show the achievement of a real time condition for an UAV navigation application.