SISTEM DETEKSI MANUSIA DENGAN METODE AGGREGATE CHANNEL FEATURES (ACF)
Abstract
Physical distancing or Social Distancing is an effort made to prevent the spread of the corona virus in the community. Simply put, Physical Distancing is keeping a distance of more than 1 meter from anyone. Someone is recommended to keep a distance from other people, reduce social interaction, avoid places where there are many people, it is proposed to create a distance detection system between humans so that they can monitor or supervise activities in public areas. Therefore, in this study, it is proposed that this human detection system uses the Aggregate Channel Features (ACF) method. The human detection system with the Aggregate Channel Features (ACF) algorithm produces human detection and the distance between humans is detected as safe (safe) or detecting unsafe distances (danger). The result of this research is an application for detecting humans and human distance to monitor activities in public areas with an accuracy rate of 80%.
Downloads
References
[2] U. Tangke, “Halaman Sampul,” Agrikan J. Agribisnis Perikan., vol. 8, no. 1, pp. 1–214, 2015, doi: 10.29239/j.agrikan.8.1.-.
[3] H. Ugail et al., “On Rearranging Physical Spaces for Enhancing Social Distancing Measures to Combat the COVID-19 Infection Rates,” 2020 Int. Conf. Internet Things Intell. Appl. ITIA 2020, pp. 13–17, 2020, doi: 10.1109/ITIA50152.2020.9312322.
[4] B. Yang, J. Yan, Z. Lei, and S. Z. Li, “Aggregate channel features for multi-view face detection,” IJCB 2014 - 2014 IEEE/IAPR Int. Jt. Conf. Biometrics, 2014, doi: 10.1109/BTAS.2014.6996284.
[5] Darussalam and G. Arief, “Jurnal Resti,” Resti, vol. 1, no. 1, pp. 19–25, 2017.
[6] N. Noor Kamala Sari and W. Widiatry, “Pemanfaatan Aplikasi Mobile Assistant Untuk Mendeteksi Kerumunan dalam Penerapan New Normal Covid-19,” J. Komput. Terap., vol. 7, no. Vol. 7 No. 2 (2021), pp. 251–260, 2021, doi: 10.35143/jkt.v7i2.4710.
[7] R. Fazira and M. Nasir, “Sistem Monitoring Social Distancing Berbasis Web,” pp. 1–6, 2019.
[8] J. Hua, Y. Shi, C. Xie, H. Zhang, and J. Zhang, “Pedestrian-and Vehicle-Detection Algorithm Based on Improved Aggregated Channel Features,” IEEE Access, vol. 9, pp. 25885–25897, 2021, doi: 10.1109/ACCESS.2021.3057616.
