Object detection with Artificial neural networks combined with dyadic image downscaling using Haar transform

dc.contributor.author	Fernando, WSP
dc.contributor.author	Udawatta, L
dc.date.accessioned	2013-10-21T02:12:20Z
dc.date.available	2013-10-21T02:12:20Z
dc.date.issued	2008
dc.date.issued	2008
dc.identifier.uri	http://dl.lib.mrt.ac.lk/handle/123/8055
dc.description.abstract	This paper describes the methodology for identifying a moving object by a fast dyadic image downscaling combined with a neural network (a multi layer perceptron). Given a sequence of images here we basically try to detect a particular type of object (here we used cars) which can be located in different distances. Either it is closer to the or moving away from the camera.
dc.language	en
dc.title	Object detection with Artificial neural networks combined with dyadic image downscaling using Haar transform
dc.type	Conference-Abstract
dc.identifier.year	2008
dc.identifier.conference	Research for Industry
dc.identifier.place	Faculty of Engineering, University of Moratuwa
dc.identifier.proceeding	14th Annual Symposium on Research and Industry