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Related papers: High Speed Event Camera TRacking

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Event cameras are bio-inspired sensors that capture per-pixel asynchronous intensity change rather than the synchronous absolute intensity frames captured by a classical camera sensor. Such cameras are ideal for robotics applications since…

Computer Vision and Pattern Recognition · Computer Science 2022-05-18 Ziwei Wang , Dingran Yuan , Yonhon Ng , Robert Mahony

In this work, we propose a motion robust and high-speed detection pipeline which better leverages the event data. First, we design an event stream representation called temporal active focus (TAF), which efficiently utilizes the…

Computer Vision and Pattern Recognition · Computer Science 2023-06-27 Bingde Liu , Chang Xu , Wen Yang , Huai Yu , Lei Yu

Unlike standard cameras that send intensity images at a constant frame rate, event-driven cameras asynchronously report pixel-level brightness changes, offering low latency and high temporal resolution (both in the order of micro-seconds).…

Computer Vision and Pattern Recognition · Computer Science 2021-06-30 Valentina Vasco , Arren Glover , Elias Mueggler , Davide Scaramuzza , Lorenzo Natale , Chiara Bartolozzi

Event cameras are bio-inspired sensors that asynchronously report intensity changes in microsecond resolution. DAVIS can capture high dynamics of a scene and simultaneously output high temporal resolution events and low frame-rate intensity…

Computer Vision and Pattern Recognition · Computer Science 2020-04-02 Liyuan Pan , Miaomiao Liu , Richard Hartley

Prediction skills can be crucial for the success of tasks where robots have limited time to act or joints actuation power. In such a scenario, a vision system with a fixed, possibly too low, sampling rate could lead to the loss of…

Computer Vision and Pattern Recognition · Computer Science 2023-02-28 Marco Monforte , Luna Gava , Massimiliano Iacono , Arren Glover , Chiara Bartolozzi

Event cameras asynchronously capture brightness changes with microsecond latency, offering exceptional temporal precision but suffering from severe noise and signal inconsistencies. Unlike conventional signals, events carry state…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Jinze Chen , Wei Zhai , Yang Cao , Bin Li , Zheng-Jun Zha

This paper presents a new event-based method for detecting and tracking features from the output of an event-based camera. Unlike many tracking algorithms from the computer vision community, this process does not aim for particular…

Computer Vision and Pattern Recognition · Computer Science 2018-11-20 Laurent Dardelet , Sio-Hoi Ieng , Ryad Benosman

Understanding human movement and city dynamics has always been challenging. From traditional methods of manually observing the city's inhabitant, to using cameras, to now using sensors and more complex technology, the field of urban…

Computer Vision and Pattern Recognition · Computer Science 2025-12-15 Jack Brady , Andrew Dailey , Kristen Schang , Zo Vic Shong

Event cameras are sensors of great interest for many applications that run in low-resource and challenging environments. They log sparse illumination changes with high temporal resolution and high dynamic range, while they present minimal…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Alberto Sabater , Luis Montesano , Ana C. Murillo

Background: Large engineering structures, such as space launch towers and suspension bridges, are subjected to extreme forces that cause high-speed 3D deformation and compromise safety. These structures typically operate under extreme…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Banglei Guan , Yifei Bian , Zibin Liu , Haoyang Li , Xuanyu Bai , Taihang Lei , Bin Li , Yang Shang , Qifeng Yu

State-of-the-art solutions for Shape-from-Polarization (SfP) suffer from a speed-resolution tradeoff: they either sacrifice the number of polarization angles measured or necessitate lengthy acquisition times due to framerate constraints,…

Computer Vision and Pattern Recognition · Computer Science 2023-04-12 Manasi Muglikar , Leonard Bauersfeld , Diederik Paul Moeys , Davide Scaramuzza

Aerial surveillance demands rapid and precise detection of moving objects in dynamic environments. Event cameras, which draw inspiration from biological vision systems, present a promising alternative to frame-based sensors due to their…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Sami Arja , Alexandre Marcireau , Saeed Afshar , Bharath Ramesh , Gregory Cohen

Rotational speed is one of the important metrics to be measured for calibrating the electric motors in manufacturing, monitoring engine during car repairing, faults detection on electrical appliance and etc. However, existing measurement…

Computer Vision and Pattern Recognition · Computer Science 2022-09-07 Guangrong Zhao , Yiran Shen , Ning Chen , Pengfei Hu , Lei Liu , Hongkai Wen

Event-based cameras are bio-inspired sensors that detect light changes asynchronously for each pixel. They are increasingly used in fields like computer vision and robotics because of several advantages over traditional frame-based cameras,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Andreas Ziegler , David Joseph , Thomas Gossard , Emil Moldovan , Andreas Zell

We present a new online approach to track human whole-body motion from motion capture data, i.e., positions of labeled markers attached to the human body. Tracking in noisy data can be effectively performed with the aid of well-established…

Systems and Control · Computer Science 2015-11-16 Jannik Steinbring , Christian Mandery , Nikolaus Vahrenkamp , Tamim Asfour , Uwe D. Hanebeck

Event cameras, also known as neuromorphic cameras, are an emerging technology that offer advantages over traditional shutter and frame-based cameras, including high temporal resolution, low power consumption, and selective data acquisition.…

Image and Video Processing · Electrical Eng. & Systems 2023-09-22 Aniket Jagtap , RamaKrishna Venkatesh Saripalli , Joe Lemley , Waseem Shariff , Alan F. Smeaton

Accurate measurement of shock wave motion parameters with high spatiotemporal resolution is essential for applications such as power field testing and damage assessment. However, significant challenges are posed by the fast, uneven…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Taihang Lei , Banglei Guan , Minzu Liang , Pengju Sun , Jing Tao , Yang Shang , Qifeng Yu

Dynamic vision sensor event cameras produce a variable data rate stream of brightness change events. Event production at the pixel level is controlled by threshold, bandwidth, and refractory period bias current parameter settings. Biases…

Computer Vision and Pattern Recognition · Computer Science 2021-05-04 Tobi Delbruck , Rui Graca , Marcin Paluch

Quadrupedal robots are conquering various indoor and outdoor applications due to their ability to navigate challenging uneven terrains. Exteroceptive information greatly enhances this capability since perceiving their surroundings allows…

Robotics · Computer Science 2023-04-07 Benedek Forrai , Takahiro Miki , Daniel Gehrig , Marco Hutter , Davide Scaramuzza

Event cameras are biologically-inspired sensors that gather the temporal evolution of the scene. They capture pixel-wise brightness variations and output a corresponding stream of asynchronous events. Despite having multiple advantages with…

Computer Vision and Pattern Recognition · Computer Science 2019-12-11 Stefano Pini , Guido Borghi , Roberto Vezzani
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