DocumentCode :
568863
Title :
TrueSight A Pedestrian Navigation System Based in Automatic Landmark Detection and Extraction on Android Smartphone
Author :
Ferreira, Alessandro Luiz Stamatto ; Santos, Selan Rodrigues dos ; de Miranda, Leonardo Cunha
Author_Institution :
Dept. de Inf. e Mat. Aplic., Univ. Fed. do Rio Grande do Norte (UFRN), Natal, Brazil
fYear :
2012
fDate :
28-31 May 2012
Firstpage :
91
Lastpage :
99
Abstract :
From time to time someone gets lost and askhimself "How do I get there?" With the advent of the GPS this question can be answered. However due to difficulties such as lack of precision, possibility of inaccurate maps,network dependency, and cost lead the pursuit of analternative solution. In order to locate himself the person can use a different method: using a smartphone camera his position is recognized visually, based in environment references, and then an arrow pointing the right direction appears in a map in the display. This method was implemented in the application framework of Android,using OpenCV and its implementation of the SURFalgorithm. The final application is named TrueSight and westudy its viability and limitations. The authors conclude thata vision-based navigation system is viable, but database improvements and exhibition could make it better.
Keywords :
cameras; computer vision; feature extraction; object detection; operating systems (computers); pedestrians; smart phones; visual databases; Android smartphone; GPS; OpenCV; SURF algorithm; TrueSight; automatic landmark detection; automatic landmark extraction; database improvements; open source computer vision library; pedestrian navigation system; smartphone camera; vision-based navigation system; Androids; Global Positioning System; Google; Humanoid robots; Image segmentation; Robustness; Visualization; android; landmark recognition; localization; mobile device; navigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual and Augmented Reality (SVR), 2012 14th Symposium on
Conference_Location :
Rio Janiero
Print_ISBN :
978-1-4673-1929-4
Type :
conf
DOI :
10.1109/SVR.2012.14
Filename :
6297564
Link To Document :
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