Crowd monitoring and localization using deep convolutional neural network: A review

A Khan, J Ali Shah, K Kadir, W Albattah, F Khan - Applied Sciences, 2020 - mdpi.com
Crowd management and monitoring is crucial for maintaining public safety and is an
important research topic. Developing a robust crowd monitoring system (CMS) is a …

Scale and density invariant head detection deep model for crowd counting in pedestrian crowds

SD Khan, S Basalamah - The Visual Computer, 2021 - Springer
Crowd counting in high density crowds has significant importance in crowd safety and crowd
management. Existing state-of-the-art methods employ regression models to count the …

A deep learning-based camera approach for vital sign monitoring using thermography images for ICU patients

S Lyra, L Mayer, L Ou, D Chen, P Timms, A Tay… - Sensors, 2021 - mdpi.com
Infrared thermography for camera-based skin temperature measurement is increasingly
used in medical practice, eg, to detect fevers and infections, such as recently in the COVID …

Scale driven convolutional neural network model for people counting and localization in crowd scenes

S Basalamah, SD Khan, H Ullah - IEEE Access, 2019 - ieeexplore.ieee.org
Counting and localization of people in videos consisting of low density to high density
crowds encounter many key challenges including complex backgrounds, scale variations …

Disam: Density independent and scale aware model for crowd counting and localization

SD Khan, H Ullah, M Uzair, M Ullah… - … on Image Processing …, 2019 - ieeexplore.ieee.org
People counting in high density crowds is emerging as a new frontier in crowd video
surveillance. Crowd counting in high density crowds encounters many challenges, such as …

Person head detection based deep model for people counting in sports videos

SD Khan, H Ullah, M Ullah, N Conci… - 2019 16th IEEE …, 2019 - ieeexplore.ieee.org
People counting in sports venues is emerging as a new domain in the field of video
surveillance. People counting in these venues faces many key challenges, such as severe …

Real-time drone surveillance and population estimation of marine animals from aerial imagery

M Saqib, SD Khan, N Sharma… - … conference on image …, 2018 - ieeexplore.ieee.org
Video analysis is being rapidly adopted by marine biologists to asses the population and
migration of marine animals. Manual analysis of videos by human observers is labor …

New end-to-end strategy based on DeepLabv3+ semantic segmentation for human head detection

M Chouai, P Dolezel, D Stursa, Z Nemec - Sensors, 2021 - mdpi.com
In the field of computer vision, object detection consists of automatically finding objects in
images by giving their positions. The most common fields of application are safety systems …

A new approach for pedestrian density estimation using moving sensors and computer vision

EK Tokuda, Y Lockerman, GBA Ferreira… - ACM Transactions on …, 2020 - dl.acm.org
An understanding of person dynamics is indispensable for numerous urban applications,
including the design of transportation networks and planning for business development …

Crowd density estimation by using attention based capsule network and multi-column CNN

MA Kizrak, B Bolat - IEEE Access, 2021 - ieeexplore.ieee.org
We propose a strategy that focuses on estimating the number of people in a crowd, one of
the aims of crowd analysis, using static images or video images. While manual feature …