12 citations · 18 across the 13 of their papers we have counts for
15 papers
Autobiasing Event Cameras for Flickering Mitigation
Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan +2
Understanding and mitigating flicker effects caused by rapid variations in light intensity is critical for enhancing the performance of event cameras in diverse environments. This…
Autobiasing Event Cameras
Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan +2
This paper presents an autonomous method to address challenges arising from severe lighting conditions in machine vision applications that use event cameras. To manage these condit…
Evaluating Image-Based Face and Eye Tracking with Event Cameras
Khadija Iddrisu, Waseem Shariff, Noel E. OConnor +2
Event Cameras, also known as Neuromorphic sensors, capture changes in local light intensity at the pixel level, producing asynchronously generated data termed ``events''. This dist…
Event-Stream Super Resolution using Sigma-Delta Neural Network
Waseem Shariff, Joe Lemley, Peter Corcoran
This study introduces a novel approach to enhance the spatial-temporal resolution of time-event pixels based on luminance changes captured by event cameras. These cameras present u…
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…
Heart Rate Detection Using an Event Camera
Aniket Jagtap, RamaKrishna Venkatesh Saripalli, Joe Lemley +2
Event cameras, also known as neuromorphic cameras, are an emerging technology that offer advantages over traditional shutter and frame-based cameras, including high temporal resolu…
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…
Will your Doorbell Camera still recognize you as you grow old
Wang Yao, Muhammad Ali Farooq, Joseph Lemley +1
Robust authentication for low-power consumer devices such as doorbell cameras poses a valuable and unique challenge. This work explores the effect of age and aging on the performan…
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…
Dataset Creation Pipeline for Camera-Based Heart Rate Estimation
Mohamed Moustafa, Amr Elrasad, Joseph Lemley +1
Heart rate is one of the most vital health metrics which can be utilized to investigate and gain intuitions into various human physiological and psychological information. Estimati…
A Feature Selection Method for Driver Stress Detection Using Heart Rate Variability and Breathing Rate
Ashkan Parsi, David O'Callaghan, Joseph Lemley
Driver stress is a major cause of car accidents and death worldwide. Furthermore, persistent stress is a health problem, contributing to hypertension and other diseases of the card…
Event-based YOLO Object Detection: Proof of Concept for Forward Perception System
Waseem Shariff, Muhammad Ali Farooq, Joe Lemley +1
Neuromorphic vision or event vision is an advanced vision technology, where in contrast to the visible camera that outputs pixels, the event vision generates neuromorphic events ev…
Control and Evaluation of Event Cameras Output Sharpness via Bias
Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan +2
Event cameras also known as neuromorphic sensors are relatively a new technology with some privilege over the RGB cameras. The most important one is their difference in capturing t…
Recurrent Super-Resolution Method for Enhancing Low Quality Thermal Facial Data
David O'Callaghan, Cian Ryan, Waseem Shariff +3
The process of obtaining high-resolution images from single or multiple low-resolution images of the same scene is of great interest for real-world image and signal processing appl…
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…