In this paper, we propose a novel autonomous robot vision system that can recognize an environment by itself. The developed system has self-motivation to search an interesting region using human-like selective attention and novelty scene detection models, and memorize the relative location information for selected regions. The selective attention model consists of bottom-up saliency map and low level top-down attention model. The novelty detection model generates a scene novelty using the topology information and energy signature in the selective attention model. Experimental results show that the developed system successfully identify an environment as well as changing of environment in nature scene.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 email@example.com
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 firstname.lastname@example.org