Object recognition using video sequences
| dc.contributor.advisor | Görür, Abdülkadir | |
| dc.contributor.author | Sönmez, Arzu Burçak | |
| dc.date.accessioned | 2020-12-04T11:28:43Z | |
| dc.date.available | 2020-12-04T11:28:43Z | |
| dc.date.submitted | 2008 | |
| dc.date.issued | 2018-08-06 | |
| dc.identifier.uri | https://acikbilim.yok.gov.tr/handle/20.500.12812/78983 | |
| dc.description.abstract | Bu çalışma, video görüntüleri içinde belli nesnelerin tanınması amacıyla gerçekleştirilmiştir. Öncelikle ön plandaki hareketli nesneler, arka plandan ayrılır. Daha sonra, kenar nokta özellikleri kullanılarak taslak objenin arka plandan ayrılmış nesneyle olan uyumu hesaplanır | |
| dc.description.abstract | The aim of this study is to construct a system which recognizes specified objects from video sequences. First the moving foreground objects are separated from the background by object segmentation. Then an object template is tried to be located in that segmented foreground by means of matching process. Edge points are used as feature points and measure of edge distance is used to localize the template in the image. | en_US |
| dc.language | English | |
| dc.language.iso | en | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | Attribution 4.0 United States | tr_TR |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol | tr_TR |
| dc.subject | Computer Engineering and Computer Science and Control | en_US |
| dc.title | Object recognition using video sequences | |
| dc.title.alternative | Video görüntülerinde nesne tanıma | |
| dc.type | masterThesis | |
| dc.date.updated | 2018-08-06 | |
| dc.contributor.department | Bilgisayar Mühendisliği Anabilim Dalı | |
| dc.identifier.yokid | 316228 | |
| dc.publisher.institute | Fen Bilimleri Enstitüsü | |
| dc.publisher.university | ÇANKAYA ÜNİVERSİTESİ | |
| dc.identifier.thesisid | 232721 | |
| dc.description.pages | 70 | |
| dc.publisher.discipline | Diğer |
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