Results 181 to 190 of about 535,457 (208)

Neuromorphic Camera Denoising Using Graph Neural Network-Driven Transformers

open access: yesIEEE Transactions on Neural Networks and Learning Systems
Neuromorphic vision is a bio-inspired technology that has triggered a paradigm shift in the computer-vision community and is serving as a key-enabler for a multitude of applications. This technology has offered significant advantages including reduced power consumption, reduced processing needs, and communication speed-ups.
Lakmal D Seneviratne   +2 more
exaly   +5 more sources

Visual Tracking Using Neuromorphic Asynchronous Event-Based Cameras

Neural Computation, 2015
This letter presents a novel computationally efficient and robust pattern tracking method based on a time-encoded, frame-free visual data. Recent interdisciplinary developments, combining inputs from engineering and biology, have yielded a novel type of camera that encodes visual information into a continuous stream of asynchronous, temporal events ...
Zhenjiang Ni   +4 more
openaire   +3 more sources

3D Object Tracking With Neuromorphic Event Cameras via Image Reconstruction

2021 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2021
Elishai Ezra Tsur, Hadar Cohen Duwek
exaly   +2 more sources

Optical Wireless Camera Communications Using Neuromorphic Vision Sensors

2019 IEEE International Conference on Communications Workshops (ICC Workshops), 2019
Camera Communications (CamCom) is the transmission of data using modulated lights acting as transmitters and a digital camera acting as a receiver. We propose a novel high speed CamCom system using Neuromorphic Vision Sensor (NVS) cameras. We present novel algorithms for detection and demodulation of modulated light sources.
Javier Pérez-Ramirez   +2 more
exaly   +3 more sources

A Neuromorphic Camera for Tracking Passive and Active Matter With Lower Data Throughput

open access: yesLaser and Photonics Reviews
AbstractThe merits of using a neuromorphic, or event‐based camera (EBC), for tracking of both passive and active matter are demonstrated. For passive matter, the Brownian motion of different micro‐particles is tracked and their diffusion coefficients are estimated.
Kishan Dholakia   +2 more
exaly   +3 more sources

A neuromorphic smart camera for real-time 360°distortion-free panoramas

Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras, 2010
This paper presents a novel neuromorphic camera system rotating at high-speed (1 to 4 rotations/sec) to acquire 360° panoramas in real-time by exploiting the high temporal resolution, the high dynamic range and the sparse visual information representation using a neuromorphic vision sensor with address-event (AE) signaling mounted on a high-speed ...
Ahmed Nabil Belbachir   +2 more
openaire   +2 more sources

Neuromorphic Downsampling of Event-Based Camera Output

Neuro-Inspired Computational Elements Conference, 2023
Charles Rizzo   +2 more
openaire   +2 more sources

Motion compensation and object detection for neuromorphic camera

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
Yuxin Wan   +5 more
openaire   +1 more source

NeuroCamTags: Long-Range, Battery-free, Wireless Sensing with Neuromorphic Cameras

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
In this research, we introduce NeuroCamTags, a battery-free platform designed to detect a range of rich human interactions and activities in entire rooms and floors without the need for batteries. The NeuroCamTag system comprises low-cost tags that harvest ambient light energy and utilize high-frequency modulation of light-emitting diodes (LEDs) for ...
Danny Scott   +5 more
openaire   +2 more sources

Atmospheric turbulence characterization using a neuromorphic camera

Image Sensing Technologies: Materials, Devices, Systems, and Applications IX, 2022
Ernst E. Polnau, Mikhail Vorontsov
openaire   +1 more source

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