Results 21 to 30 of about 1,127 (167)
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 accepted at CVPR2019 Event-based Vision ...
M. Cannici +3 more
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EvAn: Neuromorphic Event-Based Sparse Anomaly Detection
Frontiers in Neuroscience, 2021 Event-based cameras are bio-inspired novel sensors that asynchronously record changes in illumination in the form of events. This principle results in significant advantages over conventional cameras, such as low power utilization, high dynamic range ...
Lakshmi Annamalai +3 more
doaj +1 more source
Neuromorphic Seatbelt State Detection for In-Cabin Monitoring with Event Cameras
CoRR, 2023 4 pages, 3 figures, IMVIP ...
Paul Kielty +5 more
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IEEE Open Journal of Vehicular Technology, 2023 Driver Monitoring Systems (DMS) represent a promising approach for enhancing driver safety within vehicular technologies. This research explores the integration of neuromorphic event camera technology into DMS, offering faster and more localized ...
Waseem Shariff +6 more
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Stakes of neuromorphic foveation: a promising future for embedded event cameras
Biological Cybernetics, 2022 Abstract Foveation can be defined as the organic action of directing the gaze towards a visual region of interest, to acquire relevant information selectively. With the recent advent of event cameras, we believe that taking advantage of this visual neuroscience mechanism would greatly improve the efficiency of event-data processing.
Amélie Gruel +6 more
openaire +2 more sources
Neuromorphic Event-Based 3D Pose Estimation
Frontiers in Neuroscience, 2016 Pose estimation is a fundamental step in many artificial vision tasks. It consists of estimating the 3D pose of an object with respect to a camera from the object's 2D projection. Current state of the art implementations operate on images.
David eReverter Valeiras +3 more
doaj +1 more source
Neuromorphic sequence learning with an event camera on routes through vegetation
Science Robotics, 2023 For many robotics applications, it is desirable to have relatively low-power and efficient onboard solutions. We took inspiration from insects, such as ants, that are capable of learning and following routes in complex natural environments using relatively constrained sensory and neural systems.
Zhu, L., Mangan, M., Webb, B.
openaire +3 more sources
Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset
Frontiers in Neurorobotics, 2020 Robotic grasping plays an important role in the field of robotics. The current state-of-the-art robotic grasping detection systems are usually built on the conventional vision, such as the RGB-D camera. Compared to traditional frame-based computer vision,
Bin Li +5 more
doaj +1 more source
Exploring the Potential of Event Camera Imaging for Advancing Remote Pupil-Tracking Techniques
Applied Sciences, 2023 Pupil tracking plays a crucial role in various applications, including human–computer interactions, biometric identification, and Autostereoscopic three-dimensional (3D) displays, such as augmented reality (AR) 3D head-up displays (HUDs). This study aims
Dongwoo Kang +2 more
doaj +1 more source
Analytical Review of Event-Based Camera Depth Estimation Methods and Systems
Sensors, 2022 Event-based cameras have increasingly become more commonplace in the commercial space as the performance of these cameras has also continued to increase to the degree where they can exponentially outperform their frame-based counterparts in many ...
Justas Furmonas +2 more
doaj +1 more source