5. A method for controlling an event structure system, the method comprising: recognizing multiple-person interaction primitives from an image, which is displayed on a display screen; composing an event by inference based on temporal relations using the multiple-person interaction primitive; and determining a final event by either eliminating an unnecessary event from the composed event, or adding a new event in the composed event, wherein the recognizing of multiple-person interaction primitives comprises: transforming an image plane including multiple persons into relative trajectory coordinates of a reference object corresponding to any single person of multiple persons in the image plane; performing trajectory clustering in the relative trajectory coordinates; and recognizing the multiple-person interaction primitives by each trajectory cluster obtained by performing the trajectory clustering.
5. A method for controlling an event structure system, the method comprising: recognizing multiple-person interaction primitives from an image, which is displayed on a display screen; composing an event by inference based on temporal relations using the multiple-person interaction primitive; and determining a final event by either eliminating an unnecessary event from the composed event, or adding a new event in the composed event, wherein the recognizing of multiple-person interaction primitives comprises: transforming an image plane including multiple persons into relative trajectory coordinates of a reference object corresponding to any single person of multiple persons in the image plane; performing trajectory clustering in the relative trajectory coordinates; and recognizing the multiple-person interaction primitives by each trajectory cluster obtained by performing the trajectory clustering. 8. The method of claim 5 , wherein the recognizing of the multiple-person interaction primitives by each of the trajectory clusters recognizes the multiple-person interaction primitives using a Hidden Markov Model (HMM) for modeling results obtained by performing the trajectory clustering.