DocumentCode :
3240281
Title :
Integrating geographical information and mobile augmented reality technique for tracking tree species composition
Author :
Ramli, Intan Syaherra ; Arshad, Haslina ; Kahbi, Azyan Yusra Kapi ; Ramly, Sami ; Shariff, Samir M. ; Rahim, Muhamad Izzat
Author_Institution :
Dept. of Comput. Sci., Univ. Teknol. MARA (Negeri Sembilan), Kuala Pilah, Malaysia
fYear :
2013
fDate :
2-4 Dec. 2013
Firstpage :
125
Lastpage :
129
Abstract :
Studies based on tracking tree species composition are very important for researchers to conserve the ecosystem. The information about tree species composition can be obtained through physical tagging with markers. However, this method is tedious and may harm the structure of trees. Besides, it is time consuming for researchers to track the information for future research. Thus, this paper will propose a mobile tracking application (ARTSC) which integrates the geographical information and mobile augmented reality technique for tracking the tree species composition. By using camera on the smart phone, the information about the species composition will be overlaid on top of the real image. Thus, this application can be one of the alternative methods for researchers to track information about the tree species.
Keywords :
augmented reality; cameras; geographic information systems; mobile computing; smart phones; vegetation; ARTSC; camera; geographical information system; mobile augmented reality technique; mobile tracking application; smart phone; tree species composition tracking; Augmented reality; Computers; Google; Mobile communication; Navigation; Tagging; Vegetation; Geographical Information; Mobile Augmented Reality; Tracking Method; Tree Species Composition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Learning, e-Management and e-Services (IC3e), 2013 IEEE Conference on
Conference_Location :
Kucing
Print_ISBN :
978-1-4799-1573-6
Type :
conf
DOI :
10.1109/IC3e.2013.6735978
Filename :
6735978
Link To Document :
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