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Muhammad Ikhsan
Master of Computer Science, Universitas Gadjah Mada
Computer Science & IT Electrical & Electronics Engineering

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Penghitung orang pada video CCTV menggunakan metode histogram of oriented gradient dan filter Kalman Faisal Dharma Adhinata; Muhammad Ikhsan; Wahyono Wahyono
Jurnal Teknologi dan Sistem Komputer Volume 8, Issue 3, Year 2020 (July 2020)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2020.13660

Abstract

CCTV cameras have an important function in the field of public service, especially for convenience. The objects recorded through CCTV cameras are processed into information to support service satisfaction in the community. This study uses the function of CCTV for people counting from objects recorded by a camera. Currently, the process of detecting and tracking people takes a long time to detect all frames. In this study, the frame selection into keyframes uses the mutual information entropy method. The keyframes processing uses the Histogram of Oriented Gradient (HOG) and Kalman filter methods. The proposed method results F1 value of 0.85, recall of 76 %, and precision of 97 % with winStride parameter (12,12), scale 1.05, and the distance of the human object to CCTV 4 meters.
Co-Authors Faisal Dharma Adhinata Wahyono Wahyono