TY - GEN
T1 - Detection of bus routes number in bus panel via learning approach
AU - Tsai, Chun Ming
AU - Yeh, Zong Mu
PY - 2014
Y1 - 2014
N2 - Detection of bus route number is a very important issue for assisting visually impaired people to take the bus. This paper proposes an intelligent approach to detect bus route numbers to help visually impaired people to "see" the bus route number of a moving bus. Current e-bus stations in Taipei, Taiwan, are not very robust in bad weather. For visually impaired people, it is very difficult know which bus route number is approaching the bus station. Some past research used RFID, GIS, sound, and image-based methods to help visually impaired people to "see" bus route number. However, the development of bus route number reading devices for visually impaired people in real time is still at an early stage. In this paper, we propose an efficient and effective learning-based method to detect the bus route number in displayed on the bus façade panel of the moving bus. Experimental results show that the proposed method can reduce time complexity and achieve high bus route number detection rates.
AB - Detection of bus route number is a very important issue for assisting visually impaired people to take the bus. This paper proposes an intelligent approach to detect bus route numbers to help visually impaired people to "see" the bus route number of a moving bus. Current e-bus stations in Taipei, Taiwan, are not very robust in bad weather. For visually impaired people, it is very difficult know which bus route number is approaching the bus station. Some past research used RFID, GIS, sound, and image-based methods to help visually impaired people to "see" bus route number. However, the development of bus route number reading devices for visually impaired people in real time is still at an early stage. In this paper, we propose an efficient and effective learning-based method to detect the bus route number in displayed on the bus façade panel of the moving bus. Experimental results show that the proposed method can reduce time complexity and achieve high bus route number detection rates.
KW - Bus route number detection
KW - Cascaded rule-based localization
KW - Learning approach
KW - Moving bus
KW - visually impaired people
UR - http://www.scopus.com/inward/record.url?scp=84958545569&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958545569&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-05458-2_32
DO - 10.1007/978-3-319-05458-2_32
M3 - Conference contribution
AN - SCOPUS:84958545569
SN - 9783319054575
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 302
EP - 311
BT - Intelligent Information and Database Systems - 6th Asian Conference, ACIIDS 2014, Proceedings
PB - Springer Verlag
T2 - 6th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2014
Y2 - 7 April 2014 through 9 April 2014
ER -