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A kemelized Probabilistic Neural network approach for counting pedestrians

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Bibliographic Details
Main Authors: Lim, Eng Aik, Zarita, Zainuddin
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineering (IEEE) 2010
Subjects:
Classification
Counting system
Data sets
Image processing - methods
Robabilistic neural networks
Region of interest
ISIE 2009
International Symposium on Industrial Electronics 2009
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/8508
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spelling my.unimap-85082010-08-06T09:36:12Z A kemelized Probabilistic Neural network approach for counting pedestrians Lim, Eng Aik Zarita, Zainuddin Classification Counting system Data sets Image processing - methods Robabilistic neural networks Region of interest ISIE 2009 International Symposium on Industrial Electronics 2009 Link to publisher's homepage at http://ieeexplore.ieee.org/ An improved, intelligent pedestrian counting system, using images obtained from a single video camera, is described in this paper. This system is capable of detecting and counting a group of pedestrians in the region of interest. Groups can be extracted by using the image processing method, and a Kernel-induced Probabilistic Neural Network (KPNN) employed to perform the classification, and estimate the number of pedestrians in a group. We validated the pedestrian-counting system on a pedestrian dataset, and this analysis indicates th at the proposed KPNN-type classifier provides good results. 2010-08-06T09:36:12Z 2010-08-06T09:36:12Z 2009-07-05 Working Paper p.2065-2068 978-1-4244-4349-9 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5218897&tag=1 http://hdl.handle.net/123456789/8508 en Proceedings of the International Symposium on Industrial Electronics (ISIE) 2009 Institute of Electrical and Electronics Engineering (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Classification
Counting system
Data sets
Image processing - methods
Robabilistic neural networks
Region of interest
ISIE 2009
International Symposium on Industrial Electronics 2009
spellingShingle Classification
Counting system
Data sets
Image processing - methods
Robabilistic neural networks
Region of interest
ISIE 2009
International Symposium on Industrial Electronics 2009
Lim, Eng Aik
Zarita, Zainuddin
A kemelized Probabilistic Neural network approach for counting pedestrians
description Link to publisher's homepage at http://ieeexplore.ieee.org/
format Working Paper
author Lim, Eng Aik
Zarita, Zainuddin
author_facet Lim, Eng Aik
Zarita, Zainuddin
author_sort Lim, Eng Aik
title A kemelized Probabilistic Neural network approach for counting pedestrians
title_short A kemelized Probabilistic Neural network approach for counting pedestrians
title_full A kemelized Probabilistic Neural network approach for counting pedestrians
title_fullStr A kemelized Probabilistic Neural network approach for counting pedestrians
title_full_unstemmed A kemelized Probabilistic Neural network approach for counting pedestrians
title_sort kemelized probabilistic neural network approach for counting pedestrians
publisher Institute of Electrical and Electronics Engineering (IEEE)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/8508
_version_ 1643789198686158848
score 13.222552

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