Classification of moving objects using active vision

An offline system that is capable to detect the moving object and classify it into three classes: "Human, Vehicle and Animal" is presented. The detection of the target based on Background Subtraction technique. The classification makes use ofboth static and dynamic features ofthe movin...

Full description

Saved in:
Bibliographic Details
Main Authors: Bilal, Sara Mohammed Osman Saleh, Abu-Bakar, Syed A.R
Format: Conference or Workshop Item
Language:English
Published: 2005
Subjects:
Online Access:http://irep.iium.edu.my/32577/1/Classification_of_moving_objects_using_active_vision..pdf
http://irep.iium.edu.my/32577/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4977170&tag=1
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Islam Antarabangsa Malaysia
Language: English
id my.iium.irep.32577
record_format dspace
spelling my.iium.irep.325772013-11-07T08:30:14Z http://irep.iium.edu.my/32577/ Classification of moving objects using active vision Bilal, Sara Mohammed Osman Saleh Abu-Bakar, Syed A.R QA75 Electronic computers. Computer science T Technology (General) An offline system that is capable to detect the moving object and classify it into three classes: "Human, Vehicle and Animal" is presented. The detection of the target based on Background Subtraction technique. The classification makes use ofboth static and dynamic features ofthe moving objects. All features are sequentially arranged to improve the classification significantly 2005 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/32577/1/Classification_of_moving_objects_using_active_vision..pdf Bilal, Sara Mohammed Osman Saleh and Abu-Bakar, Syed A.R (2005) Classification of moving objects using active vision. In: Computers, Communications, & Signal Processing with Special Track on Biomedical Engineering (CCSP 2005), 14-16 Nov 2005 , Kuala Lumpur- Malaysia. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4977170&tag=1
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QA75 Electronic computers. Computer science
T Technology (General)
spellingShingle QA75 Electronic computers. Computer science
T Technology (General)
Bilal, Sara Mohammed Osman Saleh
Abu-Bakar, Syed A.R
Classification of moving objects using active vision
description An offline system that is capable to detect the moving object and classify it into three classes: "Human, Vehicle and Animal" is presented. The detection of the target based on Background Subtraction technique. The classification makes use ofboth static and dynamic features ofthe moving objects. All features are sequentially arranged to improve the classification significantly
format Conference or Workshop Item
author Bilal, Sara Mohammed Osman Saleh
Abu-Bakar, Syed A.R
author_facet Bilal, Sara Mohammed Osman Saleh
Abu-Bakar, Syed A.R
author_sort Bilal, Sara Mohammed Osman Saleh
title Classification of moving objects using active vision
title_short Classification of moving objects using active vision
title_full Classification of moving objects using active vision
title_fullStr Classification of moving objects using active vision
title_full_unstemmed Classification of moving objects using active vision
title_sort classification of moving objects using active vision
publishDate 2005
url http://irep.iium.edu.my/32577/1/Classification_of_moving_objects_using_active_vision..pdf
http://irep.iium.edu.my/32577/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4977170&tag=1
_version_ 1643610251471093760