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On the incremental learning and recognition of the pattern of movement of multiple labelled objects in dynamic scenes

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conference contribution
posted on 2000-01-01, 00:00 authored by M Mugurel, Svetha VenkateshSvetha Venkatesh, G West
In this paper we discuss combining incremental learning and incremental recognition to classify patterns consisting of multiple objects, each represented by multiple spatio-temporal features. Importantly the technique allows for ambiguity in terms of the positions of the start and finish of the pattern. This involves a progressive classification which considers the data at each time instance in the query and thus provides a probable answer before all the query information becomes available. We present two methods that combine incremental learning and incremental recognition: a time instance method and an overall best match method.

History

Event

International Conference on Pattern Recognition (15th : 2000 : Barcelona, Spain)

Pagination

652 - 655

Publisher

IEEE

Location

Barcelona, Spain

Place of publication

Washington, D. C.

Start date

2000-09-03

End date

2000-09-08

ISSN

1051-4651

ISBN-10

0769507506

Language

eng

Notes

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2000, IEEE

Title of proceedings

ICPR 2000 : Proceedings of the International Conference on Pattern Recognition

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