Skripsi

OBJEK TRACKING PENGUNJUNG PERPUSTAKAAN MENGGUNAKAN METODE HISTOGRAM OF ORIENTED GRADIENT BERBASIS VIDEO CCTV

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Penilaian

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Surveillance in the library is significantly aided by the presence of CCTV surveillance cameras installed in specific pathways frequented by library visitors. Given the substantial number of visitors, it becomes essential to record the visitor count to gauge the extent of library utilization. Detection and tracking of human objects pose unique challenges in developing software on computers to recognize human entities within video footage. A video is composed of a series of frames, encompassing human objects that need to be extracted. Not all frames are processed to save time; hence, keyframe selection is employed. This extraction process can be carried out using various methods, one of which is the Histogram of Oriented Gradient (HOG) method. Support Vector Machine (SVM) is employed to distinguish between the extracted human objects and non-human elements. The software developed in this research demonstrates effectiveness in tracking individuals and quantifying their numbers, achieving an accuracy rate of 61.8%

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307003775	T127125	T1271252023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1271252023

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xiv, 56 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.507

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Jurusan Teknik Informatika
Program Aplikasi dengan Kegunaan Khusus

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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