activity
20202022
most citedSingle Image Human Proxemics Estimation for Visual Social Distancing

4 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation

Guillem Martinez, Maya Aghaei, Martin Dijkstra +5

Given the hyper-spectral imaging unique potentials in grasping the polymer characteristics of different materials, it is commonly used in sorting procedures. In a practical plastic…

cs.CV2022

On the Effect of Pre-Processing and Model Complexity for Plastic Analysis Using Short-Wave-Infrared Hyper-Spectral Imaging

Klaas Dijkstra, Maya Aghaei, Femke Jaarsma +4

The importance of plastic waste recycling is undeniable. In this respect, computer vision and deep learning enable solutions through the automated analysis of short-wave-infrared h…

cs.CV2021

HR-Crime: Human-Related Anomaly Detection in Surveillance Videos

Kayleigh Boekhoudt, Alina Matei, Maya Aghaei +1

The automatic detection of anomalies captured by surveillance settings is essential for speeding the otherwise laborious approach. To date, UCF-Crime is the largest available datas…

cs.CV2021

Obstacle Detection for BVLOS Drones

Jan Moros Esteban, Jaap van de Loosdrecht, Maya Aghaei

With the introduction of new regulations in the European Union, the future of Beyond Visual Line Of Sight (BVLOS) drones is set to bloom. This led to the creation of the theBEAST p…

cs.CV20204 cited

Single Image Human Proxemics Estimation for Visual Social Distancing

Maya Aghaei, Matteo Bustreo, Yiming Wang +3

In this work, we address the problem of estimating the so-called "Social Distancing" given a single uncalibrated image in unconstrained scenarios. Our approach proposes a semi-auto…

cs.CV2020

Complex-Object Visual Inspection via Multiple Lighting Configurations

Maya Aghaei, Matteo Bustreo, Pietro Morerio +3

The design of an automatic visual inspection system is usually performed in two stages. While the first stage consists in selecting the most suitable hardware setup for highlightin…