Cerberus: Privacy-Preserving Crowd Counting and Localisation using Face Detection in Edge Devices

J Brazauskas, C Jensen, M Danish, I Lewis… - Proceedings of the 7th …, 2024 - dl.acm.org
Cerberus uses face detection in edge devices to perform privacy-preserving crowd counting
and localisation. We describe its deployment in a university setting where ceiling-mounted …

A Study on the energy-efficiency of the Object Tracking Algorithms in Edge Devices

G Di Fabrizio, L Calisti, C Contoli, N Kania… - Proceedings of the IEEE …, 2023 - dl.acm.org
Integrating machine learning techniques with edge computing devices powered by Graphics
Processing Units and Tensor Processing Units has revolutionized computer vision and real …

Anonymising Video Data Collection at the Edge Using DeepDish

W Pan, R Kolcun, R Mortier - 2023 IEEE 24th International …, 2023 - ieeexplore.ieee.org
Increase in popularity of various deep learning methodologies has led to a huge increase in
demand for training data. These training data often contain video featuring people but these …