Real-time closed-world tracking

Author

Intille, Stephen S. ; Davis, James W. ; Bobick, Aaron E.

Author_Institution

Media Lab., MIT, Cambridge, MA, USA

fYear

1997

fDate

17-19 Jun 1997

Firstpage

697

Lastpage

703

Abstract

A real-time tracking algorithm that uses contextual information is described. The method is capable of simultaneously tracking multiple, non-rigid objects when erratic movement and object collisions are common. A closed-world assumption is used to adaptively select and weight image features used for correspondence. Results of algorithm testing and the limitations of the method are discussed. The algorithm has been used to track children in an interactive, narrative playspace

Keywords

image matching; motion estimation; object recognition; real-time systems; tracking; algorithm testing; child tracking; closed-world assumption; contextual information; erratic movement; image correspondence; image feature selection; interactive narrative playspace; multiple nonrigid object tracking; object collisions; real-time closed-world tracking algorithm; Algorithm design and analysis; Cameras; Clustering algorithms; Foot; Games; Laboratories; Layout; Real time systems; Testing; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on

Conference_Location

San Juan

ISSN

1063-6919

Print_ISBN

0-8186-7822-4

Type

conf

DOI

10.1109/CVPR.1997.609402

Filename

609402

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2537062