52 citations · 118 across the 11 of their papers we have counts for
4 papers · 1 filter
Monitoring Social-distance in Wide Areas during Pandemics: a Density Map and Segmentation Approach
Javier A. González-Trejo, Diego A. Mercado-Ravell
With the relaxation of the containment measurements around the globe, monitoring the social distancing in crowded public places is of grate importance to prevent a new massive wave…
Dense Crowds Detection and Counting with a Lightweight Architecture
Javier Antonio Gonzalez-Trejo, Diego Alberto Mercado-Ravell
In the context of crowd counting, most of the works have focused on improving the accuracy without regard to the performance leading to algorithms that are not suitable for embedde…
On the safety of vulnerable road users by cyclist orientation detection using Deep Learning
Marichelo Garcia-Venegas, Diego A. Mercado-Ravell, Carlos A. Carballo-Monsivais
In this work, orientation detection using Deep Learning is acknowledged for a particularly vulnerable class of road users,the cyclists. Knowing the cyclists' orientation is of grea…
Dense Crowds Detection and Surveillance with Drones using Density Maps
Javier Gonzalez-Trejo, Diego Mercado-Ravell
Detecting and Counting people in a human crowd from a moving drone present challenging problems that arisefrom the constant changing in the image perspective andcamera angle. In th…