Abstract
The goal of this research is to develop a real world search system for everyday objects using position sensors on those objects. The aim of this paper is to realize a search method which can use past landmark near by the searching object as an indicator for the search. By using a camera, a user suggests a place where the searching object were in his/her memory, using a landmark. There are two problems for realizing such a landmark indication search. The first problem is the losing landmark problem. It is the problem which the user can not find the landmark at the location he/she remembers. The second one is the confusing landmarks problem which the user might select the wrong landmark when landmarks have similar features. To solve these two problems, we introduce Atumeye frames. Atumeye frames are based on the idea of landmark memories of the user that when the user memorizes a landmark, he/she also memorizes relative physical relationship between the landmark and other landmarks around. Brownie stores the location of an object, and the physical relationship around the landmark of the object as one Atumeye frame. The physical relationship is decided by existences of overlap regions of landmark objects in the video camera, and the overlap region is calculated from the 3D position data. To solve the losing landmark problem, Brownie estimates Atumeye frames when the problem occurs. To solve the confusing landmarks problem, when the user runs the search with the landmark, Brownie runs another search using other landmarks which have similar relative physical relationship. The result of evaluation indicates the average detection rate of real world search is 76.7% with Atumeye frames.
