Results 171 to 180 of about 535,457 (208)

Spatiotemporal Processing for Neuromorphic Cameras

2021 55th Annual Conference on Information Sciences and Systems (CISS), 2021
Neuromorphic cameras, which report changes in flux rather than absolute flux values, present particular challenges in scene understanding and scene recreation. We discuss different classes of spatiotemporal neuromorphic vision algorithms, and their applications in a new neuromorphic vision architecture.
Dean Scribner
exaly   +2 more sources

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 ...
Andrea Romanoni, Marco Ciccone, Matteo Matteucci   +2 more
exaly   +5 more sources

Drone Virtual Fence Using a Neuromorphic Camera

International Conference on Neuromorphic Systems 2021, 2021
Neuromorphic cameras are well suited to detect the motion of propellers (blades) on Unmanned Aerial Systems (UAS), or drones. In this paper, we introduce the concept of a virtual fence which is a low-cost networked situational awareness device to quickly alert that a drone has entered the zone.
Stewart, Terrence, Drouin, Marc-Antoine, Gagne, Guillaume, Godin, Guy   +3 more
openaire   +1 more source

Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras

, 2020
This paper presents a novel method for labeling real-world neuromorphic camera sensor data by calculating the likelihood of generating an event at each pixel within a short time window, which we refer to as “event probability mask” or EPM.
Keigo Hirakawa, Vijayan K Asari, Mohammed Almatrafi   +2 more
exaly   +2 more sources

Neuromorphic Camera Guided High Dynamic Range Imaging

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Reconstruction of high dynamic range image from a single low dynamic range image captured by a frame-based conventional camera, which suffers from over- or under-exposure, is an ill-posed problem. In contrast, recent neuromorphic cameras are able to record high dynamic range scenes in the form of an intensity map, with much lower spatial resolution ...
Boxin Shi, Tiejun Huang, Chang Xu
exaly   +3 more sources

Turbulence mitigation in neuromorphic camera imagery

Emerging Imaging and Sensing Technologies for Security and Defence V; and Advanced Manufacturing Technologies for Micro- and Nanosystems in Security and Defence III, 2020
Long range horizontal path imaging through atmospheric turbulence is hampered by spatiotemporally randomly varying shifting and blurring of scene points in recorded imagery. Although existing software based mitigation strategies can produce sharp and stable imagery of static scenes, it remains highly challenging to mitigate turbulence in scenes with ...
Boehrer, N., Nieuwenhuizen, R.P.J., Dijk, J.   +2 more
openaire   +2 more sources

Towards Event-Based State Estimation for Neuromorphic Event Cameras

IEEE Transactions on Automatic Control, 2022
In this work, a dynamic information extraction problem for neuromorphic event cameras is investigated from a state estimation perspective. The ego-motion pose estimation task of an event camera is formulated as a state estimation problem for a finite-state hidden Markov model subject to a special event-triggering mechanism.
Xinhui Liu, Meiqi Cheng, Dawei Shi, Ling Shi 0001   +3 more
openaire   +3 more sources

Photonic Neuromorphic Accelerator Combined With an Event-Based Neuromorphic Camera for High-Speed Object Classification

2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), 2023
Adonis Bogris, Aris Tsirigotis
exaly   +2 more sources