Authors:
Young-Chul Lim
;
Chung-Hee Lee
and
Jonghwan Kim
Affiliation:
Daegu Gyeongbuk Institute of Science & Technology, Korea, Republic of
Keyword(s):
Stereo Vision, Object Tracking, Distance Estimation, Feature Tracking, Feature Matching.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Human-Computer Interaction
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Physiological Computing Systems
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.