12 citations · 13 across the 4 of their papers we have counts for
5 papers
Locally Adaptive Decay Surfaces for High-Speed Face and Landmark Detection with Event Cameras
Paul Kielty, Timothy Hanley, Peter Corcoran
Event cameras record luminance changes with microsecond resolution, but converting their sparse, asynchronous output into dense tensors that neural networks can exploit remains a c…
Spiking-DD: Neuromorphic Event Camera based Driver Distraction Detection with Spiking Neural Network
Waseem Shariff, Paul Kielty, Joseph Lemley +1
Event camera-based driver monitoring is emerging as a pivotal area of research, driven by its significant advantages such as rapid response, low latency, power efficiency, enhanced…
Neuromorphic Seatbelt State Detection for In-Cabin Monitoring with Event Cameras
Paul Kielty, Cian Ryan, Mehdi Sefidgar Dilmaghani +3
Neuromorphic vision sensors, or event cameras, differ from conventional cameras in that they do not capture images at a specified rate. Instead, they asynchronously log local brigh…
Neuromorphic Sensing for Yawn Detection in Driver Drowsiness
Paul Kielty, Mehdi Sefidgar Dilmaghani, Cian Ryan +2
Driver monitoring systems (DMS) are a key component of vehicular safety and essential for the transition from semiautonomous to fully autonomous driving. A key task for DMS is to a…
Real-Time Face & Eye Tracking and Blink Detection using Event Cameras
Cian Ryan, Brian O Sullivan, Amr Elrasad +4
Event cameras contain emerging, neuromorphic vision sensors that capture local light intensity changes at each pixel, generating a stream of asynchronous events. This way of acquir…