Title :
Detection of Public Information Sign in Airport Terminal Based on Multi-scales Spatio-temporal Vision Information
Author :
Qingji, Gao ; Yue, Yue ; Guoqing, Yang
Author_Institution :
Robot. Inst, Nanjing Univ. of Aeronaut. & Astronaut., Tianjin
Abstract :
A new method based on multi-scales spatio-temporal vision information is presented to detect public information signs for the airport terminal service robot (ATSR) localization. Firstly, public information signs are searched roughly in big space scale by using the connected components labeling algorithm. Secondly, the signs position and size in visual field are adjusted properly based on spatio-temporal relativity. Finally, the signs are detected according to the extracted SIFT (Scale Invariant Feature Transform) features. Experiments by this new method on ATSR show that public information signs are detected rapidly and precisely.
Keywords :
airports; feature extraction; image retrieval; robot vision; spatiotemporal phenomena; transforms; airport terminal service robot localization; connected component labeling algorithm; multiscale spatio-temporal vision information; public information sign detection; public information sign search; scale invariant feature transform extraction; Airports; Automatic speech recognition; Data mining; Face detection; Feature extraction; Image edge detection; Object detection; Phase detection; Robotics and automation; Service robots;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.606
