DETEKSI WAJAH MENGGUNAKAN HAAR CASCADE DAN FEATURE DESCRIPTOR HOG MELALUI KAMERA IP CCTV DIRUANG KELAS
DOI:
https://doi.org/10.69916/jkbti.v3i2.125Keywords:
biometrik, cctv, deteksi wajah manusia, fitur wajahAbstract
Closed Circuit Television (CCTV) secara umum untuk tujuan keamanan mendapatkan informasi dalam jangka waktu tertentu. Identifikasi wajah manusia adalah salah satu fokus utama untuk teknologi ini. Pada penelitian ini, metode deteksi wajah manusia diterapkan pada ruang kelas belajar siswa dengan nilai akurasi. Metode ini nantinya dapat digunakan secara luas di era teknologi karena identifikasi biometrik adalah salah satu metode verifikasi terbaik. Dalam metode yang diusulkan, menyebarkan bagian-bagian fitur wajah yang berbeda seperti: hidung, mata dan mulut dapat dilakukan secara efektif dan cepat, tanpa memperhatikan cahaya atau iluminasi di latar belakang orang tersebut agar dapat digunakan di dalam ruangan kelas.
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S. Deniz et al., “Computer Vision for Attendance and Emotion Analysis in School Settings,” in 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), Jan. 2019, pp. 0134–0139, doi: 10.1109/CCWC.2019.8666488.
B. Ngoc Anh et al., “A Computer-Vision Based Application for Student Behavior Monitoring in Classroom,” Appl. Sci., vol. 9, no. 22, p. 4729, Nov. 2019, doi: 10.3390/app9224729.
Y. Wu and C. Chang, “Commerce Management Surveillance of Public Space : CCTV , Privacy and Sense of Safety Department of Information Management , I-Shou University , Taiwan ,” Glob. J. Res., vol. 5, no. 4, pp. 173–174, 2016.
J. Brands, T. Schwanen, and I. van Aalst, “What are you looking at? Visitors’ perspectives on CCTV in the night-time economy,” Eur. Urban Reg. Stud., vol. 23, no. 1, pp. 23–39, Jan. 2016, doi: 10.1177/0969776413481369.
M. J. Wilber, V. Shmatikov, and S. Belongie, “Can we still avoid automatic face detection?,” in 2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016, Mar. 2016, pp. 1–9, doi: 10.1109/WACV.2016.7477452.
D. O. Gorodnichy, “Video-based framework for face recognition in video,” in Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005, 2005, pp. 330–338, doi: 10.1109/CRV.2005.87.
M. S. Hidayatulloh, “Sistem Pengenalan Wajah Menggunakan Metode Yolo ( You Only Look Once ),” Universitas Dinamika, 2021.
R. Susanti and N. Fadillah, “Deteksi Wajah Secara Real Time Menggunakan Metode Camshift,” J. Media Inform. Budidarma, vol. 3, no. 2, p. 133, Apr. 2019, doi: 10.30865/mib.v3i2.1113.
A. W. Wibowo, A. Karima, Wiktasari, A. Yobioktabera, and S. Fahriah, “Pendeteksian dan Pengenalan Wajah Pada Foto Secara Real Time Dengan Haar Cascade dan Local Binary Pattern Histogram,” JTET (Jurnal Tek. Elektro Ter., vol. Vol. 9 No., no. 1, pp. 6 – 11, 2020.
S. Yulina, “Implementation of Haar Cascade Classifier for Face Detection and Grayscale Image Transformation Using OpenCV,” J. Komput. Terap., no. Vol. 7 No. 1 (2021), pp. 100–109, Jun. 2021, doi: 10.35143/jkt.v7i1.3411.
S. Hangaragi, T. Singh, and N. N, “Face Detection and Recognition Using Face Mesh and Deep Neural Network,” Procedia Comput. Sci., vol. 218, pp. 741–749, 2023, doi: 10.1016/j.procs.2023.01.054.
“Tutorial Haar Cascade.” https://docs.opencv.org/4.x/db/d28/tutorial_cascade_classifier.html. (accessed Jan. 17, 2024).
N. Dalal and B. Triggs, “Histograms of Oriented Gradients for Human Detection,” in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), vol. 1, pp. 886–893, doi: 10.1109/CVPR.2005.177.
“Histogram of Gradients.” https://learnopencv.com/histogram-of-oriented-gradients/ (accessed Jan. 17, 2024).
F. B. Antono, F. Rofii, and I. Istiadi, “Deteksi Jumlah dan Pengenalan Wajah Manusia Menggunakan Metode Histogram Of Oriented Gradient dan Viola Jones,” Techno.Com, vol. 19, no. 1, pp. 12–23, Feb. 2020, doi: 10.33633/tc.v19i1.2626.
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