Function from motion

Author

Duric, Zoran ; Fayman, Jeffrey A. ; Rivlin, Ehud

Author_Institution

Machine Learning & Inference Lab., George Mason Univ., Fairfax, VA, USA

Volume

18

Issue

6

fYear

1996

fDate

6/1/1996 12:00:00 AM

Firstpage

579

Lastpage

591

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;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.506409

Filename

506409