Title :
Function from motion
Author :
Duric, Zoran ; Fayman, Jeffrey A. ; Rivlin, Ehud
Author_Institution :
Machine Learning & Inference Lab., George Mason Univ., Fairfax, VA, USA
fDate :
6/1/1996 12:00:00 AM
Abstract :
In order for a robot to operate autonomously in its environment, it must be able to perceive its environment and take actions based on these perceptions. Recognizing the functionalities of objects is an important component of this ability. In this paper, we look into a new area of functionality recognition: determining the function of an object from its motion. Given a sequence of images of a known object performing some function, we attempt to determine what that function is. We show that the motion of an object, when combined with information about the object and its normal uses, provides us with strong constraints on possible functions that the object might be performing
Keywords :
image sequences; motion estimation; object recognition; robot vision; action perception; function from motion; image sequences; motion analysis; motion estimation; object functionality recognition; optical flow field; robot vision; Acceleration; Capacitive sensors; Computer Society; Computer science; Fasteners; Human robot interaction; Machine learning; Physics; Shape; Usability;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
