Results 11 to 20 of about 24,156 (258)
Feedback control of event cameras [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 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 must be adjusted to match application requirements and the optimal settings depend on many factors.
Tobi Delbruck, Rui Graca, Marcin Paluch
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Dynamic Event Camera Calibration [PDF]
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 accepted in the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Kun Huang, Yifu Wang, Laurent Kneip
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Powerline Tracking with Event Cameras [PDF]
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 Autonomous inspection of powerlines with quadrotors is challenging. Flights require persistent perception to keep a close look at the lines. We propose a method that uses event cameras to robustly track powerlines. Event cameras are inherently robust to motion blur, have low latency, and high dynamic range.
Alexander Dietsche +3 more
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2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Focus control (FC) is crucial for cameras to capture sharp images in challenging real-world scenarios. The autofocus (AF) facilitates the FC by automatically adjusting the focus settings. However, due to the lack of effective AF methods for the recently introduced event cameras, their FC still relies on naive AF like manual focus adjustments, leading ...
Shijie Lin +5 more
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A Multi-Scale Recurrent Framework for Motion Segmentation With Event Camera
IEEE Access, 2023 Motion segmentation is a formidable computer vision task, aiming to segment moving targets from a dynamic scene. In this paper, we choose to introduce an additional modality to bolster the robustness.
Shaobo Zhang, Lei Sun, Kaiwei Wang
doaj +1 more source
How to Calibrate Your Event Camera [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 We propose a generic event camera calibration framework using image reconstruction. Instead of relying on blinking LED patterns or external screens, we show that neural-network-based image reconstruction is well suited for the task of intrinsic and extrinsic calibration of event cameras.
Manasi Muglikar +3 more
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Intensity/Inertial Integration-Aided Feature Tracking on Event Cameras
Remote Sensing, 2022 Achieving efficient and accurate feature tracking on event cameras is a fundamental step for practical high-level applications, such as simultaneous localization and mapping (SLAM) and structure from motion (SfM) and visual odometry (VO) in GNSS (Global ...
Zeyu Li, Yong Liu, Feng Zhou, Xiaowan Li
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Flow‐assisted visual tracking using event cameras
CAAI Transactions on Intelligence Technology, 2021 The data from event cameras not only portray contours of moving objects but also contain motion information inherently. Herein, motion information can be used in event‐based and frame‐based object trackers to ease the challenges of occluded objects and ...
Rui Jiang +4 more
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Analytical Review of Event-Based Camera Depth Estimation Methods and Systems
Sensors, 2022 Event-based cameras have increasingly become more commonplace in the commercial space as the performance of these cameras has also continued to increase to the degree where they can exponentially outperform their frame-based counterparts in many ...
Justas Furmonas +2 more
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Star Tracking Using an Event Camera [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 Star trackers are primarily optical devices that are used to estimate the attitude of a spacecraft by recognising and tracking star patterns. Currently, most star trackers use conventional optical sensors. In this application paper, we propose the usage of event sensors for star tracking.
Tat-Jun Chin +3 more
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