@inproceedings{0fa39e364a90493cbb741544775e9929,
title = "A method of landmark visual tracking for mobile robot",
abstract = "Landmark tracking is key factor for mobile robots localization and navigation. This paper proposes a combined approach automatically to detect and track landmark. Firstly, a landmark is initially located in the image coordinates by features recognition- SIFT (Scale Invariant Feature Transform) and matching technology-RANSAC(Random Sample Consensus). Then based on similarity distance, tracking algorithm is called, which depends on adaptive particle filter. Furthermore, re-position strategy based SIFT is also presented to catch the landmark which was lost. Finally, the experimental results show that the proposed method achieves robust and real-time tracking of a landmark and has a practical value for robot visual.",
keywords = "Robot vision, Visual target location, Visual target tracking",
author = "Lijun Zhao and Ruifeng Li and Tianying Zang and Lining Sun and Xufeng Fan",
year = "2008",
doi = "10.1007/978-3-540-88513-9\_97",
language = "英语",
isbn = "3540885129",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "901--910",
booktitle = "Intelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings",
address = "德国",
edition = "PART 1",
note = "1st International Conference on Intelligent Robotics and Applications, ICIRA 2008 ; Conference date: 15-10-2008 Through 17-10-2008",
}