A Method of Landmark Visual Tracking for Mobile Robot

التفاصيل البيبلوغرافية
العنوان: A Method of Landmark Visual Tracking for Mobile Robot
المؤلفون: Lining Sun, Xufeng Fan, Lijun Zhao, Tianying Zang, Ruifeng Li
المصدر: Intelligent Robotics and Applications ISBN: 9783540885122
ICIRA (1)
بيانات النشر: Springer Berlin Heidelberg, 2008.
سنة النشر: 2008
مصطلحات موضوعية: Landmark, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-invariant feature transform, Tracking system, Mobile robot, Tracking (particle physics), Eye tracking, Robot, Computer vision, Artificial intelligence, Particle filter, business
الوصف: 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.
ردمك: 978-3-540-88512-2
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::286dc45259251415a018c3025372eb98
https://doi.org/10.1007/978-3-540-88513-9_97
رقم الأكسشن: edsair.doi...........286dc45259251415a018c3025372eb98
قاعدة البيانات: OpenAIRE