Fire Detection on Video Using ViBe Algorithm and LBP-TOP
KETUT SUDYATMIKA PUTRA
Informasi Umum
Kode
22.04.1043
Klasifikasi
003.3 - Computer science- system- computer modeling and simulation
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Computer Science
Dilihat
18 kali
Informasi Lainnya
Abstraksi
Flame recognition is very important for fire detection on a video. Many methods have been proposed by many researchers. But, some methods have drawbacks such as high computational complexity, moving objects that cannot be detected properly, etc. In this journal, the author will explain how to detect fire using the ViBe (Visual Background Extractor) algorithm to extract dynamic targets. The ViBe algorithm is better at detecting moving target objects such as flame combustion. This algorithm will also be combined with three frame differencing to gain better results on movement object. The HSI color space model will be applied after the movement object is obtained. Local Binary Pattern-Three Orthogonal Planes is used to obtain the feature extraction to be classified with Support Vector Machine.
Koleksi & Sirkulasi
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Pengarang
| Nama | KETUT SUDYATMIKA PUTRA |
| Jenis | Perorangan |
| Penyunting | FEBRYANTI STHEVANIE |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2022 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
