Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Applied Computer Science and Technology (JACOST)

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 Adelia Yunita Setiyadi Adhita Arif Setyawan Adinda Bintang Oktavia Afzal Khan Agung Hadi Saputro Ahmad Alif Candra Selamet Ahsanul In’am Akbar Siregar Alfiyani, Lina Amanda Nur Alidya Yahya Amelia Vega Utomo Ananda Putri Risang Ayu Anindita Hasniati Rahmah Apridiansyah, Yovi Arben, Ali Arina Fawaida Ariq Raihan Hermanto Asep Purwo Yudi Utomo Asmirati Yakob Asti Devi Mutiara Khoirun Nisa Avin Nuzula Fitranti Danar Rista Saputra Daniel Situmeang Dewi Masitoh Dhila Resky Effenti Diana Laily Fithri Dyah Prabaningrum Effendi, Ihsan Eko Darmanto Endriatna Adellia Wiby Eny Pemilu Kusparlina Eraskaita Ginting Fadina Salwa Aulia Putri Fajar Nugraha Faridhatun Nafi’ah Fitriana Gigit Mujianto Herdiyanto Hermawan Hermawan Iftikhar Rizqullah Ivando Zeldha Damara Karlinda Kejora Rizka Amanda Laili Fitriyani M. Rizaldi Mesran, Mesran Muhammad Ady Nugroho MUHAMMAD ARIFIN Muhammad Azhari Muhammad Rafif Rabbani Muhammad Rizki Arrohman Muhammad Wifqi Aufal Maulana Najwa Hanindya Putri Najwa Lailatus Sa’diah Narendra Saputra Neila Mei Ika Suryani Nikmah Ayu Ramadhani Amir Nikmatul Khoiriyah Nugraha Widi Winata Nur Mahfuzah Saffawati Nur Saidah Nurul Fatimah Nurur Rosidah Pahrizal Pandoman, Agus Pramana, Doni Pratiwi Cahyaningtiyas Pratomo Setiaji R Rhoedy Setiawan Ras Tuti Analiah Rengga Arga Deva Revanda Putri Rahmadani Ribut Wahyu Eriyanti Rika Santi Rina Aulia Rizqi Aufa Eka Prathama Rozali Toyib Rubianto Hadi Sari, Luthfiana Sinta Devi Rahmawati Sudjalil Suharyo Supriyono Supriyono Syifa Amalia Tara Umi Nur Wakhidatun Tsirwatun Nisail Khasanah Umi Wahidasiana Wahyu Astri Hana Widya Kaharani Putri Wijaya, Ardi Wiwik Fitriyani Yudie Irawan