A Smart Surveillance System for People Counting and Tracking Using Particle Flow and Modified SOM

A Smart Surveillance System for People Counting and Tracking Using Particle Flow and Modified SOM

Based on the rapid increase in the demand for people counting and tracking systems for surveillance applications, there is a critical need for more accurate, efficient, and reliable systems. The main goal of this study was to develop an accurate, sustainable, and efficient system that is capable of...

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Bibliographic Details
Main Authors: Mahwish Pervaiz, Yazeed Yasin Ghadi, Munkhjargal Gochoo, Ahmad Jalal, Shaharyar Kamal, Dong-Seong Kim
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sustainability
Subjects:
clustering
modified self-organizing map
object detection
particle flow
people counting and tracking
Online Access:https://www.mdpi.com/2071-1050/13/10/5367

Internet

https://www.mdpi.com/2071-1050/13/10/5367

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