Crowd monitoring and localization using deep convolutional neural network: A review
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 …
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 …
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
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 …
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
Counting and localization of people in videos consisting of low density to high density
crowds encounter many key challenges including complex backgrounds, scale variations …
crowds encounter many key challenges including complex backgrounds, scale variations …
Disam: Density independent and scale aware model for crowd counting and localization
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 …
surveillance. Crowd counting in high density crowds encounters many challenges, such as …
Person head detection based deep model for people counting in sports videos
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 …
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
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 …
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
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 …
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 …
including the design of transportation networks and planning for business development …
Crowd density estimation by using attention based capsule network and multi-column CNN
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 …
the aims of crowd analysis, using static images or video images. While manual feature …