A Comparison of Neural-based Techniques Investigating Rotational Invariance for Upright People Detection in Low Resolution Imagery

There are no files associated with this record.

Title A Comparison of Neural-based Techniques Investigating Rotational Invariance for Upright People Detection in Low Resolution Imagery
Author Green, Steven; Blumenstein, Michael Myer
Publication Title AI 2007: Advances in Artificial intelligence : 20th Australian Joint Conference on Artificial Intelligence : Gold Coast, Australia, December 2007 : Proceedings
Editor Mehmet A. Orgun and John Thornton
Year Published 2007
Place of publication Germany
Publisher Springer-Verlag
Abstract This paper describes a neural-based technique for detecting upright persons in low-resolution beach imagery in order to predict trends of tourist activities at beach sites. The proposed system uses a structural feature extraction technique to represent objects of interest for training a selection of neural classifiers. A number of neural-based classifiers are compared in this study and a direction-based feature extraction technique is investigated in conjunction with a rotationally invariant procedure for the purpose of beach object classification. Encouraging results are presented for person detection using video imagery collected from a beach site on the coast of Australia.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.springer.com/computer/artificial/book/978-3-540-76926-2
Alternative URI http://www.cit.gu.edu.au/conferences/austai/
ISBN 0302-9743
Conference name AI 2007: Advances in Artificial Intelligence, 20th Australian Joint Conference on Artificial Intelli
Location Gold Coast, Australia
Date From 2007-12-02
Date To 2007-12-06
URI http://hdl.handle.net/10072/17594
Date Accessioned 2008-03-25
Date Available 2008-12-02T04:36:13Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Image Processing
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Brief Record

Griffith University copyright notice