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.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.identifier.conference | Research for Industry | |
| dc.identifier.place | Faculty of Engineering, University of Moratuwa | |
| dc.identifier.proceeding | 14th Annual Symposium on Research and Industry | |
| dc.identifier.uri | http://dl.lib.mrt.ac.lk/handle/123/8055 | |
| dc.identifier.year | 2008 | |
| dc.language | en | |
| dc.title | Object detection with Artificial neural networks combined with dyadic image downscaling using Haar transform | |
| dc.type | Conference-Abstract |