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

Mugurel, Mihai Lazarescu, Venkatesh, Svetha and West, Geoff 2000, On the incremental learning and recognition of the pattern of movement of multiple labelled objects in dynamic scenes, in ICPR 2000 : Proceedings of the International Conference on Pattern Recognition, IEEE, Washington, D. C., pp. 652-655.

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Title On the incremental learning and recognition of the pattern of movement of multiple labelled objects in dynamic scenes
Author(s) Mugurel, Mihai Lazarescu
Venkatesh, Svetha
West, Geoff
Conference name International Conference on Pattern Recognition (15th : 2000 : Barcelona, Spain)
Conference location Barcelona, Spain
Conference dates 3-8 Sep. 2000
Title of proceedings ICPR 2000 : Proceedings of the International Conference on Pattern Recognition
Editor(s) [Unknown]
Publication date 2000
Conference series International Conference on Pattern Recognition
Start page 652
End page 655
Total pages 4
Publisher IEEE
Place of publication Washington, D. C.
Keyword(s) computer science
layout
multidimensional systems
pattern recognition
training data
Summary 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.
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.
ISBN 0769507506
ISSN 1051-4651
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2000, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044541

Document type: Conference Paper
Collections: School of Information Technology
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