Results 21 to 30 of about 1,505,743 (327)
Exploring the Potential of Event Camera Imaging for Advancing Remote Pupil-Tracking Techniques
Applied Sciences, 2023 Pupil tracking plays a crucial role in various applications, including human–computer interactions, biometric identification, and Autostereoscopic three-dimensional (3D) displays, such as augmented reality (AR) 3D head-up displays (HUDs). This study aims
Dongwoo Kang +2 more
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Attention Mechanisms for Object Recognition With Event-Based Cameras [PDF]
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 WACV2019 camera-ready ...
CANNICI, MARCO +3 more
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EV-SegNet: Semantic Segmentation for Event-Based Cameras [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 Event cameras, or Dynamic Vision Sensor (DVS), are very promising sensors which have shown several advantages over frame based cameras. However, most recent work on real applications of these cameras is focused on 3D reconstruction and 6-DOF camera tracking.
Iñigo Alonso 0002, Ana C. Murillo
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EVtracker: An Event-Driven Spatiotemporal Method for Dynamic Object Tracking
Sensors, 2022 An event camera is a novel bio-inspired sensor that effectively compensates for the shortcomings of current frame cameras, which include high latency, low dynamic range, motion blur, etc.
Shixiong Zhang +3 more
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EAGAN: Event‐based attention generative adversarial networks for optical flow and depth estimation
IET Computer Vision, 2022 Event camera is a new vision sensor that produces independent asynchronous responses to each pixel's change of illumination intensity. The unique principle of event camera has many advantages over traditional cameras, such as low latency, high temporal ...
Xiuhong Lin +4 more
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Recursive Contrast Maximization for Event-Based High-Frequency Motion Estimation
IEEE Access, 2022 Achieving high-frequency motion estimation with a fast-moving camera is an important task in the field of computer vision. Contrast Maximization (CMax), a method of motion estimation using an event camera, is the de-facto standard. However, CMax requires
Takehiro Ozawa +2 more
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IEEE Access, 2023 An innovative approach to pupil tracking using event cameras is presented in this paper. Our method incorporates two primary processes: RGB-to-Event image domain translation and pupil localization utilizing Event Cameras.
Daehyun Kang, Dongwoo Kang
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Event Camera Based Real-Time Detection and Tracking of Indoor Ground Robots
IEEE Access, 2021 This paper presents a real-time method to detect and track multiple mobile ground robots using event cameras. The method uses density-based spatial clustering of applications with noise (DBSCAN) to detect the robots and a single k-dimensional ( $k - d$ )
Craig Iaboni +4 more
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Superevents: Towards Native Semantic Segmentation for Event-based Cameras [PDF]
International Conference on Neuromorphic Systems 2021, 2021 Most successful computer vision models transform low-level features, such as Gabor filter responses, into richer representations of intermediate or mid-level complexity for downstream visual tasks. These mid-level representations have not been explored for event cameras, although it is especially relevant to the visually sparse and often disjoint ...
Weng Fei Low +4 more
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Extreme Early Image Recognition Using Event-Based Vision
Sensors, 2023 While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. Unlike
Abubakar Abubakar +3 more
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