LKP Based Tracker Performance Estimation for Coordinate Measurement Algorithm Switching

Abstract

In this paper we propose performance indicators for object tracking algorithm based on the pyramidal implementation of Lukas-Kanade feature tracker. Performance indicators are correlated with statistical parameters of object coordinate position error. The experimental research was performed using synthetic and real world image sequences. Results can be used in more complex tracking algorithm that combines different basic approaches.