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Wijaya, Ardi
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Journal : Journal of Applied Computer Science and Technology (JACOST)

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Pengolahan Citra Berbasis Video Proccesing dengan Metode Frame Difference untuk Deteksi Gerak Yovi Apridiansyah; Wijaya, Ardi; Pahrizal; Rozali Toyib; Arif Setiawan
Journal of Applied Computer Science and Technology Vol 5 No 1 (2024): Juni 2024
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v5i1.790

Abstract

This study discusses the detection of motion of objects in video by utilizing the Frame difference method which aims to process video so as to produce Frames on moving objects. The use of mobile cameras produces video data that is used as test data, the test data is processed with the Frame difference method so as to produce a number of Frames on moving objects in order to detect moving objects in the video because the function of this method is a form of video background reduction that is simplified by a number of pixels in the video. This method process is based on the difference between two consecutive frames in the video aimed at finding differences that occur during the detection process. When processed for detection, the absolute value in the pixel is greater than the predetermined threshold value, it will be considered as a moving object, so that the detection results from the motion detection process will form a box object on the moving object. In this study, the test data used used 20 video data samples with descriptions, 10 test data with bright quality (daytime) and 10 unlit test data (night) with the aim of being able to see how much the level of performance accuracy of the Frame difference method. The test results obtained 16 out of 20 test data that were successfully detected correctly (True Positive), there were 2 test data that resulted in a False Positive error, and 2 test data that resulted in a False Negative error. This shows that the Frame difference method can provide a fairly high level of accuracy in detecting moving objects in the video. The percentage level of accuracy with confussion matrix testing has a precission value of 88%, recal 88% and an accuracy value of 80%.
Co-Authors Abdul Syukur Abdullah, Dedy Ade Ferdiansyani Agus Setiawan Agustio, Faidillah Alam, RG.Guntur Alamsyah, Malik Fajar Alfarrizi, Jhodie Andilala Anggara, Muhammad Andre Aprianti, Zalia Apridiansyah, Yovi Ardiansyah, Adidi Muhammad Ardoni, Yoan Ariestanto, Dian Arif Setiawan Avida, Meny Dandi Sunardi Darnita, Yulia David Maria Vironika, Nuri Della, Della Rahma Dita, Willia Cahaya Fadli, Rengga Fadlikal Ilham Aditma, Afredo Febitri, Nora Febriani, Lovi Feni, Rita Fernando, Jerry Franata, Heru Gunawan Gunawan Guntur Alam Gustomi, Aldi Hariani, Merti Sri Hendri Wibowo, Sastya hidayah, agung kharisma Hidayat, Muhammad Husni Ikhlasul, Ridho Imanullah, Muhammad Janati, Iffah zafira Juhardi , Ujang Juhardi, Ujang Juliza, Sita Khairullah, Khairullah Kharisma , Agung Kirman Kirman, Kirman Kontesa, Ronaldo Kornengsih, Resnita Kurniawan, Edo marhalim, marhalim Maulana, M Fiqri Mawarni, Shindy Meyzera, Anes Muhammad Danil, Muhammad Mulyadi, Maheran Muntahanah, Muntahanah Mutiara Hikmah Nandika, Arjun Putra Nur'aini, Nur'aini Nurhayati Nurhayati Pahriza, Pahriza Pahrizal Pahrizal, Pahrizal Pirdaus, M Sapta Putra, Muhammad Ardiansah Putra, OJi Herwanda Putra, Riky Ade Putri, Dinda Raffles, Richard Rahmat, Deki Ramadhan, Arya Gilang Rasyid, Muhammad Soelaiman Renaldi Renaldi Rifqo, Muhammad Husni Rohman, Mohammad Abkar Nur Rosalina Rosalina Rozali Toyib Safitri Safitri Sahputra, Eka Selta Jaya Putra Sonita , Anisya Sonita, Anisya Sulaini, Soneta Supriatin Supriatin, Supriatin Surya Ade Saputera Tamara, Vivin Thiara, Rekhi Toyib, Rozali Umasih Umasih Veronica, Nuri David Maria Veronika, Nuri David Maria Waluyo Witriyono, Harry Yawahar, Jon Yuda, Azildjian Arma Yulia Darmi yuliadarnita, yuliadarnita Yuza Reswan