Multiple target tracking using multiple cameras
Yazarlar (1)
Öğr. Gör. Mehmet Taki YILMAZ Sinop Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale)
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| Dergi Adı | PQDT-Global | ||
| Makale Dili | – | Basım Tarihi | 01-2008 |
| Makale Linki | https://search.proquest.com/openview/3114ca55864361b4246d038b3d6533ea/1?pq-origsite=gscholar&cbl=2026366&diss=y | ||
| UAK Araştırma Alanları |
Psikolojik Danışmanlık Eğitimi
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| Özet |
| Video surveillance has long been in use to monitor security sensitive areas such as banks, department stores, crowded public places and borders. The rise in computer speed, availability of cheap large-capacity storage devices and high speed network infrastructure enabled the way for cheaper, multi sensor video surveillance systems. In this thesis, the problem of tracking multiple targets with multiple cameras has been discussed. Cameras have been located so that they have overlapping fields of vision. A dynamic background-modeling algorithm is described for segmenting moving objects from the background, which is capable of adapting to dynamic scene changes and periodic motion, such as illumination change and swaying of trees. After segmentation of foreground scene, the objects to be tracked have been acquired by morphological operations and connected component analysis. For the purpose of … |
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