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Neuromorphic event cameras are useful for dynamic vision problems under difficult lighting conditions. To enable studies of using event cameras in automobile driving applications, this paper reports a new end-to-end driving dataset called…

Computer Vision and Pattern Recognition · Computer Science 2020-05-19 Yuhuang Hu , Jonathan Binas , Daniel Neil , Shih-Chii Liu , Tobi Delbruck

Event cameras have recently gained in popularity as they hold strong potential to complement regular cameras in situations of high dynamics or challenging illumination. An important problem that may benefit from the addition of an event…

Robotics · Computer Science 2022-07-05 Ling Gao , Yuxuan Liang , Jiaqi Yang , Shaoxun Wu , Chenyu Wang , Jiaben Chen , Laurent Kneip

Event cameras capture the motion of intensity gradients (edges) in the image plane in the form of rapid asynchronous events. When accumulated in 2D histograms, these events depict overlays of the edges in motion, consequently obscuring the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Pritam P. Karmokar , Quan H. Nguyen , William J. Beksi

We introduce a wearable single-eye emotion recognition device and a real-time approach to recognizing emotions from partial observations of an emotion that is robust to changes in lighting conditions. At the heart of our method is a…

Graphics · Computer Science 2023-10-09 Haiwei Zhang , Jiqing Zhang , Bo Dong , Pieter Peers , Wenwei Wu , Xiaopeng Wei , Felix Heide , Xin Yang

Event cameras are novel bio-inspired vision sensors that measure pixel-wise brightness changes asynchronously instead of images at a given frame rate. They offer promising advantages, namely a high dynamic range, low latency, and minimal…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Friedhelm Hamann , Suman Ghosh , Ignacio Juarez Martinez , Tom Hart , Alex Kacelnik , Guillermo Gallego

Due to their outstanding properties in challenging conditions, event cameras have become indispensable in a wide range of applications, ranging from automotive, computational photography, and SLAM. However, as further improvements are made…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Daniel Gehrig , Davide Scaramuzza

Event cameras are a new type of sensors that are different from traditional cameras. Each pixel is triggered asynchronously by event. The trigger event is the change of the brightness irradiated on the pixel. If the increment or decrement…

Computer Vision and Pattern Recognition · Computer Science 2022-03-24 Kun Xiao , Guohui Wang , Yi Chen , Jinghong Nan , Yongfeng Xie

The diffusion of drones presents significant security and safety challenges. Traditional surveillance systems, particularly conventional frame-based cameras, struggle to reliably detect these targets due to their small size, high agility,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Gabriele Magrini , Lorenzo Berlincioni , Luca Cultrera , Federico Becattini , Pietro Pala

Neuromorphic visual sensors are artificial retinas that output sequences of asynchronous events when brightness changes occur in the scene. These sensors offer many advantages including very high temporal resolution, no motion blur and…

Computer Vision and Pattern Recognition · Computer Science 2023-07-27 Daniel Deniz , Cornelia Fermuller , Eduardo Ros , Manuel Rodriguez-Alvarez , Francisco Barranco

Traditionally, video is structured as a sequence of discrete image frames. Recently, however, a novel video sensing paradigm has emerged which eschews video frames entirely. These "event" sensors aim to mimic the human vision system with…

Multimedia · Computer Science 2024-08-13 Andrew Freeman

Many application domains require representing interrelated real-world activities and/or evolving physical phenomena. In the crisis response domain, for instance, one may be interested in representing the state of the unfolding crisis (e.g.,…

Databases · Computer Science 2009-09-30 Naveen Ashish , Dmitri Kalashnikov , Sharad Mehrotra , Nalini Venkatasubramanian

Event-based cameras are bio-inspired sensors with pixels that independently and asynchronously respond to brightness changes at microsecond resolution, offering the potential to handle visual tasks in high-speed maneuvering scenarios.…

Eye-tracking is a vital technology for human-computer interaction, especially in wearable devices such as AR, VR, and XR. The realization of high-speed and high-precision eye-tracking using frame-based image sensors is constrained by their…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Hongwei Ren , Xiaopeng Lin , Hongxiang Huang , Yue Zhou , Bojun Cheng

Event-based cameras are biologically inspired sensors that output events, i.e., asynchronous pixel-wise brightness changes in the scene. Their high dynamic range and temporal resolution of a microsecond makes them more reliable than…

Robotics · Computer Science 2021-07-13 Antea Hadviger , Igor Cvišić , Ivan Marković , Sacha Vražić , Ivan Petrović

Event cameras have recently shown promising capabilities in instantaneous motion estimation due to their robustness to low light and fast motions. However, computing wide-baseline correspondence between two arbitrary views remains a…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Ruijun Zhang , Hang Su , Kostas Daniilidis , Ziyun Wang

Event based cameras are a new passive sensing modality with a number of benefits over traditional cameras, including extremely low latency, asynchronous data acquisition, high dynamic range and very low power consumption. There has been a…

Robotics · Computer Science 2018-02-21 Alex Zihao Zhu , Dinesh Thakur , Tolga Ozaslan , Bernd Pfrommer , Vijay Kumar , Kostas Daniilidis

Robot manipulation is a common task in fields like industrial manufacturing. Detecting when objects slip from a robot's grasp is crucial for safe and reliable operation. Event cameras, which register pixel-level brightness changes at high…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Thilo Reinold , Suman Ghosh , Guillermo Gallego

Micro-expression analysis has applications in domains such as Human-Robot Interaction and Driver Monitoring Systems. Accurately capturing subtle and fast facial movements remains difficult when relying solely on RGB cameras, due to…

Computer Vision and Pattern Recognition · Computer Science 2025-08-22 Nicolas Mastropasqua , Ignacio Bugueno-Cordova , Rodrigo Verschae , Daniel Acevedo , Pablo Negri , Maria E. Buemi

Event cameras are dynamic vision sensors inspired by the biological retina, characterized by their high dynamic range, high temporal resolution, and low power consumption. These features make them capable of perceiving 3D environments even…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Hoonhee Cho , Jae-Young Kang , Kuk-Jin Yoon

Event cameras are bio-inspired sensors that mimic the human retina by responding to brightness changes in the scene. They generate asynchronous spike-based outputs at microsecond resolution, providing advantages over traditional cameras…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Suman Ghosh , Guillermo Gallego