Results 11 to 20 of about 65,144 (299)

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, Ankit Sonthalia, Zhi Gao 0005, André van Schaik, Bharath Ramesh 0001   +4 more
openaire   +3 more sources

Investigating Event-Based Cameras for Video Frame Interpolation in Sports [PDF]

2024 IEEE International Workshop on Sport, Technology and Research (STAR)
Slow-motion replays provide a thrilling perspective on pivotal moments within sports games, offering a fresh and captivating visual experience. However, capturing slow-motion footage typically demands high-tech, expensive cameras and infrastructures. Deep learning Video Frame Interpolation (VFI) techniques have emerged as a promising avenue, capable of
Deckyvere, Antoine, Cioppa, Anthony, Giancola, Silvio, Ghanem, Bernard, Van Droogenbroeck, Marc   +4 more
core   +5 more sources

High-Throughput Asynchronous Convolutions for High-Resolution Event-Cameras [PDF]

, 2022
Event cameras are promising sensors for on-line and real-time vision tasks due to their high temporal resolution, low latency, and redundant static data elimination. Many vision algorithms use some form of spatial convolution (i.e.
Leandro de Souza Rosa, Arren Glover, Chiara Bartolozzi, Aiko Dinale, Simeon Bamford   +4 more
core   +2 more sources

OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras

Event cameras, known for low-latency operation and superior performance in challenging lighting conditions, are suitable for sensitive computer vision tasks such as semantic segmentation in autonomous driving. However, challenges arise due to limited event-based data and the absence of large-scale segmentation benchmarks.
Rahman, Muhammad Rameez Ur, Giraldo, Jhony H., Spinelli, Indro, Lathuilière, Stéphane, Galasso, Fabio   +4 more
core   +5 more sources

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, Ciccone M., Romanoni A., Matteucci M.   +3 more
openaire   +3 more sources

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
openaire   +2 more sources

Asynchronous event feature generation and tracking based on gradient descriptor for event cameras

International Journal of Advanced Robotic Systems, 2021
Recently, the event camera has become a popular and promising vision sensor in the research of simultaneous localization and mapping and computer vision owing to its advantages: low latency, high dynamic range, and high temporal resolution.
Ruoxiang Li, Dianxi Shi, Yongjun Zhang, Ruihao Li, Mingkun Wang   +4 more
doaj   +1 more source

Asynchronous Visual-Inertial Odometry for Event Cameras [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Event cameras are bio-inspired visual sensors that output changes in pixel-level brightness asynchronously instead of standard intensity frames at a fixed rate.
P. Li, H. Yao, Z. Dai, X. Zhu
doaj   +1 more source

An Artificial Neural SLAM Framework for Event-Based Vision

IEEE Access, 2023
The SLAM problem for autonomous robots can be greatly improved by using event-based cameras. Compared to others, event-based cameras consume very low power while providing great temporal resolution and dynamic range.
Aykut G. Gelen, Ayten Atasoy
doaj   +1 more source

An End-to-End Broad Learning System for Event-Based Object Classification

IEEE Access, 2020
Event cameras are bio-inspired vision sensors measuring brightness changes (referred to as an `event') for each pixel independently, instead of capturing brightness images at a fixed rate using conventional cameras.
Shan Gao, Guangqian Guo, Hanqiao Huang, Xuemei Cheng, C. L. Philip Chen   +4 more
doaj   +1 more source