Comparison of FairMOT-VGG16 and MCMOT Implementation for Multi-Object Tracking and Gender Detection on Mall CCTV

Pray Somaldo, Pray Somaldo and Dina Chahyati, Dina Chahyati (2021) Comparison of FairMOT-VGG16 and MCMOT Implementation for Multi-Object Tracking and Gender Detection on Mall CCTV. Jurnal Ilmu Komputer dan Informasi, 14 (1). pp. 49-64. ISSN e-ISSN 2502-9274

[thumbnail of Comparison of FairMOT-VGG16 and MCMOT Implementation for Multi-Object Tracking and Gender Detection on Mall CCTV.pdf] Text
Comparison of FairMOT-VGG16 and MCMOT Implementation for Multi-Object Tracking and Gender Detection on Mall CCTV.pdf - Other

Download (1MB)

Abstract

The crowd detection system on CCTV has proven to be useful for retail owners in mall areas where data can be used as a guide by owners to find out the number of visitors who enter at a certain time. However, such information was still insufficient. The necessity for richer data has led to the development of specific person detection which involves gender. Gender detection can provide specific details about men and women visiting a particular location. However, gender detection alone does not provide an identity label for every detection that occurs, so it needs to be combined with a multi-person tracking system. This study compares two methods, method that are tracks person using one-class FairMOT and classify detected person based on gender and method that track multi-class object where the class is male and female at the same time simultaneously called MCMOT which is extended version of FairMOT. The first method produces MOTA, MOTP, IDS, and FPS of 78.56, 79.57, 19, and 24.4, while the second method makes 69.84, 81.94, 147, and 30.5. Besides, evaluation of gender was also carried out where the first method resulted in a gender accuracy of 65% while the second method was 62.35%.

Item Type: Article
Uncontrolled Keywords: CCTV, Detection, Gender, Tracking
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Ni Made Yunia Dwi Savitri
Date Deposited: 17 Nov 2022 01:35
Last Modified: 17 Nov 2022 01:35
URI: http://eprints.triatmamulya.ac.id/id/eprint/1838

Actions (login required)

View Item View Item