Recently we proposed a new scheme of aiming at scene recognition by understanding human activities, objects and environment from video images including these constituents. The most significant difference of this approach from conventional ones is the proposal of a method for cooperative understanding of humans' actions and related objects through analyzing motion of humans' face and hands. It is based on the idea that usefulness and functions of an object a person is going to deal with could be inferred from analyzing the person s movements because of that human motions, especially trajectories of face and hands, and the relative position and movement of the objects are closely related to the usage and the states of the objects. In this paper, we will describe the above mentioned scheme focusing on the structure of database and its usage in inference for recognizing human movements and objects. e-mail: email@example.com, fax:+81-79565-9077, firstname.lastname@example.org, email@example.com.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 firstname.lastname@example.org
(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 email@example.com