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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Query : Jurnal Sistem Informasi JURIKOM (Jurnal Riset Komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) JATI (Jurnal Mahasiswa Teknik Informatika) INFOKUM Jurnal Tunas Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Computer Networks, Architecture and High Performance Computing JiTEKH (Jurnal Ilmiah Teknologi Harapan) JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) EXPLORER Prosiding Snastikom Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prioritas : Jurnal Pengabdian Kepada Masyarakat Insight Power (Kekuatan Wawasan) - Jurnal Pengabdian Kepada Masyarakat Digital (JUPED) Jurnal Pengabdian Masyarakat Bangsa JUDIS : Jurnal Multidisiplin dan Sains
Siregar, Rosyidah
Universitas Harapan Medan
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Journal : JOIV : International Journal on Informatics Visualization

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Low-Resolution Face Image Reconstruction Using Multi-Stage FSRCNN to Improve Face Detection and Tracking Accuracy in CCTV Surveillance Tommy, -; Siregar, Rosyidah; Rahman Syahputra, Edy
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.3160

Abstract

Face detection and tracking under real-world condition remain challenging under different illumination, crowded scenes, partial occlusions and small or low-resolution face images. In traditional face tracking schemes, these factors often cause the false positive rate to be high and the accuracy to be low. Specifically, little or no detailed information is presented for small or distant faces, here the reliability of detection is diminished and non-face-object can provoke false alarms thus degrading the performance of a system in general. Such problems are not unclear and need a sophisticated solution to improve the resolution and detection performance in various scenarios. In this paper, a new face tracking system based on a cascade classifier, a two-step model of Fast Super-Resolution Convolutional Neural Network (FSRCNN) and DLib face validator is presented. The low-resolution facial parts are first enhanced by the FSRCNN to optimize the detection by the cascade classifier. The DLib face validator improves the approach by validating the discovered faces, and reducing false positives. The system was tested over a CCTV scenario video corpus of several challenging conditions represented by crowded environments, dynamic object and human faces of different sizes and locations. The performance analysis focused on performance metrics such as precision, recall, and false positive rate, which provided a comprehensive overview of the system's robustness. The results demonstrate a significant improvement in face detection accuracy, as high as 98% precision and very few false positive detections. The synergy between the FSRCNN method and the DLib validation was especially effective on small and far-away faces, which are normally difficult to perceive. Whilst their improvements on memory consumption were small, they proved effective for face detection in challenging conditions. The ability of the system to maintain high measurement accuracy while avoiding errors makes it well suited for use in surveillance, security and monitoring systems. In conclusion, this research highlights the effectiveness of combining super-resolution techniques with traditional face detection methods to address the limitations of existing systems. The future work will focus on increasing recall rate and constantly maturing the extraction system to work well in various realistic conditions, thus making it effective and general for different applications.
Co-Authors Ainun Naimah Pulungan Amir Mahmud Husein, Mawaddah Harahap, Amir An-nissa, Shahira Andi Marwan Elhanafi Andi Marwan Elhanafi Andi Marwan Elhanafi, Andi Marwan AULIA, RAHMAT Damayanti, Fera Edy Rahman Syahputra, Edy Rahman Fera Damayanti Ferdy Riza Gultom, Fransko Harahap, Herlina Herlina Andriani Simamora Herlina Harahap Ilham, Fauzi Imran Lubis IRWAN, DEDY Jawak, Otniel Efrata Khairani, Mufida Kharunnisa Kharunnisa Liza Novietta Lubis, Husni lubis, husni lubis, ihsan M F Verri Anggriawan Manovri Yeni Mawaddah Harahap Muhammad Zen Nenna Irsa Syahputri Rahman Syahputra, Edy Rahman, Sayuti Rismayanti Rismayanti Ruswan Nurmadi Sembiring, Arnes Siregar, Riska Novasari Siti Sundari Syahputri, Nenna Irsa Tommy Tommy Tommy Tommy Tommy Tommy, - Tommy, Tommy Winanda, Icha Yessi Fitri Annisah Lubis Yusmai, Yusmaifany