Title :
Hybrid world object tracking for a virtual teaching agent
Author :
Newman, William ; Franzel, David ; Matsumoto, Takeshi ; Leibbrandt, Richard ; Lewis, Trent W. ; Luerssen, Martin H. ; Powers, David M W
Author_Institution :
Sch. of Comput. Sci. Eng. & Math., Flinders Univ. of South Australia, Adelaide, SA, Australia
Abstract :
Fast algorithms and heuristics for real-time object recognition and tracking have enabled a new hybrid world technology in which one can manipulate a real world object and have its virtual world counterpart move correspondingly. This technology has been developed as part of a teaching head platform that was initially designed for language teaching but is now also being used in a range of health-oriented contexts. In this paper, the requirements of the technology are motivated and elucidated, with direct comparison of our proposed heuristics with well known object recognition algorithms.
Keywords :
computer aided instruction; heuristic programming; object detection; teaching; tracking; virtual reality; heuristic algorithm; hybrid world object tracking; language teaching; real-time object recognition algorithm; teaching head platform; virtual teaching agent; virtual world; Cameras; Correlation; Histograms; Image color analysis; Image segmentation; Object recognition; Pixel;
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6916-1
DOI :
10.1109/IJCNN.2010.5596503
