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Event-based vision sensors, such as the Dynamic Vision Sensor (DVS), are ideally suited for real-time motion analysis. The unique properties encompassed in the readings of such sensors provide high temporal resolution, superior sensitivity…

Computer Vision and Pattern Recognition · Computer Science 2020-01-14 Anton Mitrokhin , Cornelia Fermuller , Chethan Parameshwara , Yiannis Aloimonos

Event frame hybrid sensors integrate an Active Pixel Sensor (APS) and an Event Vision Sensor (EVS) within a single chip, combining the high dynamic range and low latency of the EVS with the rich spatial intensity information from the APS.…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Yunfan Lu , Nico Messikommer , Xiaogang Xu , Liming Chen , Yuhan Chen , Nikola Zubic , Davide Scaramuzza , Hui Xiong

The event camera is a novel bio-inspired vision sensor. When the brightness change exceeds the preset threshold, the sensor generates events asynchronously. The number of valid events directly affects the performance of event-based tasks,…

Computer Vision and Pattern Recognition · Computer Science 2022-08-24 Xijie Xiang , Lin Zhu , Jianing Li , Yonghong Tian , Tiejun Huang

This work presents stochastic approaches to model the counting behavior of actively quenched single-photon avalanche diodes (SPADs) subjected to continuous-wave constant illumination. We present both analytical expressions and simulation…

Instrumentation and Detectors · Physics 2020-08-27 Ivo Straka , Jan Grygar , Josef Hloušek , Miroslav Ježek

Unlike conventional frame-based sensors, event-based visual sensors output information through spikes at a high temporal resolution. By only encoding changes in pixel intensity, they showcase a low-power consuming, low-latency approach to…

Computer Vision and Pattern Recognition · Computer Science 2019-03-19 Rohan Ghosh , Anupam Gupta , Siyi Tang , Alcimar Soares , Nitish Thakor

Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead of capturing images at a fixed rate, they asynchronously measure per-pixel brightness changes, and output a stream of events that encode the time,…

Identifying independently moving objects is an essential task for dynamic scene understanding. However, traditional cameras used in dynamic scenes may suffer from motion blur or exposure artifacts due to their sampling principle. By…

Computer Vision and Pattern Recognition · Computer Science 2022-07-08 Yi Zhou , Guillermo Gallego , Xiuyuan Lu , Siqi Liu , Shaojie Shen

We demonstrate the suitability of high dynamic range, high-speed, neuromorphic event-based, dynamic vision sensors for metallic additive manufacturing and welding for in-process monitoring applications. In-process monitoring to enable…

Image and Video Processing · Electrical Eng. & Systems 2024-11-21 David Mascareñas , Andre Green , Ashlee Liao , Michael Torrez , Alessandro Cattaneo , Amber Black , John Bernardin , Garrett Kenyon

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

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

Bio-inspired neuromorphic cameras sense illumination changes on a per-pixel basis and generate spatiotemporal streaming events within microseconds in response, offering visual information with high temporal resolution over a high dynamic…

Signal Processing · Electrical Eng. & Systems 2024-03-22 Pei Zhang , Shuo Zhu , Edmund Y. Lam

We characterize a new commercial, back-illuminated reach-through silicon single-photon avalanche photo diode (SPAD) SAP500 (Laser Components. Inc.), operated in Geiger-mode for purpose of photon counting. We show that for this sensor a…

Instrumentation and Detectors · Physics 2013-11-12 Mario Stipčević , Daqing Wang , Rupert Ursin

Event-based camera has emerged as a promising paradigm for robot perception, offering advantages with high temporal resolution, high dynamic range, and robustness to motion blur. However, existing deep learning-based event processing…

Computer Vision and Pattern Recognition · Computer Science 2025-08-28 Shenqi Wang , Guangzhi Tang

Spiking neural networks (SNNs) have garnered significant attention for their low power consumption and high biological interpretability. Their rich spatio-temporal information processing capability and event-driven nature make them ideally…

Computer Vision and Pattern Recognition · Computer Science 2024-09-20 Xian Zhong , Shengwang Hu , Wenxuan Liu , Wenxin Huang , Jianhao Ding , Zhaofei Yu , Tiejun Huang

Spiking neural networks (SNNs), as one of the brain-inspired models, has spatio-temporal information processing capability, low power feature, and high biological plausibility. The effective spatio-temporal feature makes it suitable for…

Neural and Evolutionary Computing · Computer Science 2022-03-21 Changqing Xu , Yi Liu , Yintang Yang

Single-photon avalanche diodes (SPADs) have emerged as a promising candidate for optical wireless communication (OWC) owing to their ultra-high sensitivity and singlephoton detection capability. However, under strong background radiation or…

Signal Processing · Electrical Eng. & Systems 2026-05-28 Chen Wang , Zhiyong Xu , Jingyuan Wang , Jianhua Li , Weifeng Mou , Huatao Zhu

Neuromorphic vision sensor is a new bio-inspired imaging paradigm that reports asynchronous, continuously per-pixel brightness changes called `events' with high temporal resolution and high dynamic range. So far, the event-based image…

Computer Vision and Pattern Recognition · Computer Science 2022-03-31 Lin Zhu , Xiao Wang , Yi Chang , Jianing Li , Tiejun Huang , Yonghong Tian

Vision-based object tracking is a critical component for achieving autonomous aerial navigation, particularly for obstacle avoidance. Neuromorphic Dynamic Vision Sensors (DVS) or event cameras, inspired by biological vision, offer a…

Robotics · Computer Science 2025-04-24 Sourav Sanyal , Amogh Joshi , Manish Nagaraj , Rohan Kumar Manna , Kaushik Roy

Address event representation (AER) cameras have recently attracted more attention due to the advantages of high temporal resolution and low power consumption, compared with traditional frame-based cameras. Since AER cameras record the…

Neural and Evolutionary Computing · Computer Science 2020-02-18 Qianhui Liu , Haibo Ruan , Dong Xing , Huajin Tang , Gang Pan

Single-photon detectors are a pivotal component in photonic quantum technologies. A precise and comprehensive calibration of the intrinsic detection efficiency is of utmost importance to ensure the proper evaluation of the performance in…