Stereo-based spatial and temporal feature matching method for object tracking and distance estimation

Abstract

In this paper, we propose a stereo-based object tracking and distance estimation method using spatial and temporal feature matching scheme. Our work aims to track an object robustly and to estimate its distance accurately without stereo matching processing, which requires a considerable amount of processing time and numerous processing resources. Our method combines temporal feature matching and spatial feature matching schemes. Our experimental results demonstrate that the proposed method can provide good object tracking and distance estimation performance in real-world environments.