Top view multiple people tracking by detection using deep SORT and YOLOv3 with transfer learning: within 5G infrastructure

I Ahmed, M Ahmad, A Ahmad, G Jeon - International Journal of Machine …, 2021 - Springer
Nowadays, 5G profoundly impacts video surveillance and monitoring services by processing
video streams at high-speed with high-reliability, high bandwidth, and secure network …

A real-time person tracking system based on SiamMask network for intelligent video surveillance

I Ahmed, G Jeon - Journal of Real-Time Image Processing, 2021 - Springer
Real-time video surveillance systems are widely deployed in various environments,
including public areas, commercial buildings, and public infrastructures. Person detection is …

Directional people counter based on head tracking

J García, A Gardel, I Bravo, JL Lázaro… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
This paper presents an application for counting people through a single fixed camera. This
system performs the count distinction between input and output of people moving through …

Retail video analytics: an overview and survey

J Connell, Q Fan, P Gabbur, N Haas… - Video Surveillance …, 2013 - spiedigitallibrary.org
Today retail video analytics has gone beyond the traditional domain of security and loss
prevention by providing retailers insightful business intelligence such as store traffic …

An IoT-enabled real-time overhead view person detection system based on Cascade-RCNN and transfer learning

M Ahmad, I Ahmed, G Jeon - Journal of Real-Time Image Processing, 2021 - Springer
Internet of things (IoT) is transforming technological evolution in several practical
applications. These applications range from smart cities, smart healthcare to intelligent video …

K-means based segmentation for real-time zenithal people counting

B Antić, D Letić, D Ćulibrk… - 2009 16th IEEE …, 2009 - ieeexplore.ieee.org
The paper presents an efficient and reliable approach to automatic people segmentation,
tracking and counting, designed for a system with an overhead mounted (zenithal) camera …

Precision forestry: trees counting in urban areas using visible imagery based on an unmanned aerial vehicle

O Hassaan, AK Nasir, H Roth, MF Khan - IFAC-PapersOnLine, 2016 - Elsevier
This research work describes an approach to count trees in an urban environment.
Furthermore it addresses the problems involved in detection of trees in aerial imagery. This …

People counting by learning their appearance in a multi-view camera environment

L Maddalena, A Petrosino, F Russo - Pattern Recognition Letters, 2014 - Elsevier
We present a people counting system that, based on the information gathered by multiple
cameras, is able to tackle occlusions and lack of visibility that are typical in crowded and …

A robust algorithm for detecting people in overhead views

I Ahmed, A Adnan - Cluster computing, 2018 - Springer
In this research a human detection system is proposed in which people are viewed from an
overhead camera with a wide angle lens. Due to perspective change a person can have …

People identification and counting system using raspberry Pi (AU-PiCC: Raspberry Pi customer counter)

T Parthornratt, N Burapanonte… - 2016 International …, 2016 - ieeexplore.ieee.org
The work in this paper focuses on an implementation of OpenCV in an embedded system
like raspberry Pi to create a mini-standalone station for counting people. The key feature of …