Finding and following a human based on online visual feature determination through discourse
Tetsunari Inamura, Tomohiro Shibata, Yoshio Matsumoto, Masayuki Inaba, Hiroyuki Inoue · 2002
We propose an approach "online visual feature determination through discourse", which realizes the finding and the following task in a real environment. To segment the human's image from the complex background, it is possible to prepare many finds of basic visual features, and to combine them. The proposed approach is a solution for the problem of how to select and combine these visual features for each situation. Namely, a robot and a human make a conversation to search for the suitable visual features for the current situation. This idea enables the robot to find and follow a human successfully in a changeable background environment.