Detection of High-Density Crowds in Aerial Images Using Texture Classification
Remote Sensing, 2016 Automatic crowd detection in aerial images is certainly a useful source of information to prevent crowd disasters in large complex scenarios of mass events.
Oliver Meynberg +2 more
doaj +1 more source
MH-MetroNet—A Multi-Head CNN for Passenger-Crowd Attendance Estimation
Journal of Imaging, 2020 Knowing an accurate passengers attendance estimation on each metro car contributes to the safely coordination and sorting the crowd-passenger in each metro station.
Pier Luigi Mazzeo +6 more
doaj +1 more source
Probability hypothesis density filtering for real-time traffic state estimation and prediction [PDF]
, 2013 The probability hypothesis density (PHD) methodology is widely used by the research community for the purposes of multiple object tracking. This problem consists in the recursive state estimation of several targets by using the information coming from an
Mihaylova, Lyudmila +9 more
core +1 more source
A probabilistic hypothesis density filter for traffic flow estimation in the presence of clutter [PDF]
, 2012 Prediction of traffic flow variables such as traffic volume, travel speed or travel time for a short time horizon is of paramount importance in traffic control.
Romain Billot +9 more
core +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Open Challenges for Crowd Density Estimation [PDF]
International Journal of Advanced Computer Science and Applications, 2020 Nowadays, many emergency systems and surveillance systems are related to the management of the crowd. The supervision of a crowded area presents a great challenge especially when the size of the crowd is unknown. This issue presents a point of start to the field of the estimation of the crowd based on density or counts. The density of a crowded area is
openaire +1 more source
Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach
Journal of Big Data, 2019 We address the problem of detecting highly raised crowd density in situations such as indoor dance events. We propose a new method for estimating crowd density by anonymous, non-participatory, indoor Wi-Fi localization of smart phones.
Sonja Georgievska +7 more
doaj +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
FEBS Open Bio, EarlyView.RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
A Statistical Approach in Designing an RF-Based Human Crowd Density Estimation System
International Journal of Distributed Sensor Networks, 2016 The study of human crowd density estimation (H-CDE) using radio frequency is limited due to the nature of wireless medium and the advancement of visual-based systems.
S. Y. Fadhlullah, Widad Ismail
doaj +1 more source
Estimation of crowd density by clustering motion cues [PDF]
, 2015 Understanding crowd behavior using automated video analytics is a relevant research problem in recent times due to complex challenges in monitoring large gatherings.
Palaniswami, M +3 more
core +1 more source