Comparative analysis of SIFT and SURF on KLT tracker for UAV applications
A. Ancy Micheal, Koneru Suvarna Vani · 2017
In many fields, unmanned aerial vehicles (UAVs) is used, particularly in transportation. This paper is attempts to find out the efficiency of SIFT and SURF features on a semiautomatic object tracking method based on KLT tracker. In this approach, the region of interest is specified by the user and the interest points are found. The two promising approaches have been used to detect the robustness; The outcome is applied on KLT for further video tracking. SIFT provides higher matching rate than SURF when applied on KLT tracker.