Paper Info
Title
Robust location tracking method for mixed reality robots using a rotation search method
Abstract
In the RoboCup Mixed Reality Soccer League, the location and direction of each micro robot on the field are detected by a camera positioned above the field. However, setting and adjusting the camera to achieve greater accuracy takes a very long time. Besides, the detection process is influenced by the surrounding environment, including illuminance of the room and location of the field. Therefore, while the robots are in play, accuracy gradually decreases as the illuminance changes over time and eventually, the robots become invisible to the camera. In these situations, changes in illuminance and motion blur can cause serious issues. To solve this problem, we apply a rotation search method in the detection system, which is a “vision tracking system”. In addition, we implement a redesigned vision tracking system and evaluate the new system. Our results confirm that the new system is effective.
Year
DOI
Venue
2015
10.1109/ICIS.2015.7166638
2015 IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS)
Keywords
Field
DocType
robust location tracking method,mixed reality robots,rotation search method,RoboCup mixed reality soccer league,microrobot,camera,detection process,illuminance changes,motion blur,vision tracking system
Computer vision,Computer science,Motion blur,Tracking system,Illuminance,Eye tracking,Artificial intelligence,Mixed reality,Robot
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Masahiro Yamamoto100.34
Kazuhiro Suzuki200.34
Ryosuke Ogawa300.34
Nobuhiro Ito462.40
Kawabe, Y.511.79