Implementing Real-time Visitor Counter Using Surveillance Video and MobileNet-SSD Object Detection: The Best Practice

被引：0

作者：

Al Musalhi, Nasser ^{[1
]}

Al Wahaibi, Ali Mohammed ^{[2
]}

Abbas, Mohammed ^{[3
]}

机构：

[1] Univ Technol & Appl Sci, Dept Informat Technol, Ibra, Oman

[2] Univ Selangor UNISEL, Fac Commun Visual Art & Comp, Bestari Jaya, Malaysia

[3] Univ Technol & Appl Sci, Dept Informat Technol, Sur, Oman

来源：

BAGHDAD SCIENCE JOURNAL | 2024年 / 21卷 / 05期

关键词：

CNN; Mobilenet-SSD; MobileNet; Object tracking; real-time Object detection; SSD;

D O I：

10.21123/bsj.2024.10540

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Counters that keep track of the number of people who enter a building are a useful management tool for keeping everyone who uses it safe and happy. This paper aims to employ the MobileNet-SSD machine learning approach to implement a best practice for visitor counter. The researchers have to build a different scenario test dataset along with the MOT20 dataset to achieve the proposed methodology. Implementing different experiments in single -user, one -one; two -two users; many -two, and multiple users in different walking directions to detect and count shows varied results based on the experiment type. The best achieved by single -user and one-to-one model; both are scored 100% of detecting and calculating for in or out.

引用

页码：1775 / 1785

页数：11

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