Results 91 to 100 of about 362,159 (292)
Event-based vision sensors (EVSs), with the core advantages of low latency, high dynamic range, and low data volume, have become one of the research hotspots in the field of computer vision.
Dongchao Gong +2 more
doaj +1 more source
Selective Change Driven Imaging: A Biomimetic Visual Sensing Strategy
Selective Change Driven (SCD) Vision is a biologically inspired strategy for acquiring, transmitting and processing images that significantly speeds up image sensing.
Francisco Vegara +3 more
doaj +1 more source
Applying Event and Machine Decomposition to a Flash-Based Filestore in Event-B
Event-B is a formal method used for specifying and reasoning about systems. Rodin is a toolset for developing system models in Event-B. Our experiment which is outlined in this paper is aimed at applying Event-B and Rodin to a flash-based filestore ...
Kriangsak Damchoom +3 more
core +1 more source
Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis
Background/Objective Rheumatoid arthritis (RA) is associated with an increased risk of frailty and osteoporosis, but the relationship between frailty and incident osteoporotic fractures in RA is underexplored. Methods Data were from the Veterans Affairs Rheumatoid Arthritis (VARA) Registry.
Katherine D. Wysham +14 more
wiley +1 more source
Low-Latency Line Tracking Using Event-Based Dynamic Vision Sensors
In order to safely navigate and orient in their local surroundings autonomous systems need to rapidly extract and persistently track visual features from the environment.
Lukas Everding, Jörg Conradt
doaj +1 more source
Low-Latency Scalable Streaming for Event-Based Vision
Recently, we have witnessed the rise of novel ``event-based'' camera sensors for high-speed, low-power video capture. Rather than recording discrete image frames, these sensors output asynchronous ``event'' tuples with microsecond precision, only when the brightness change of a given pixel exceeds a certain threshold.
Andrew Hamara +4 more
openaire +2 more sources
Long-term object tracking with a moving event camera
This paper presents a long-term object tracking algorithm for event cameras. A first of its kind for these revolutionary cameras, the tracking framework uses a discriminative representation for the object with online learning, and detects and re-tracks ...
Zhang, Shihao +5 more
core
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
A Computer Vision Based Tracking System for Indoor Team Sports
Monier E, Wilhelm P, Rückert U. A Computer Vision Based Tracking System for Indoor Team Sports. In: The fourth International Conference on Intelligent Computing and Information Systems. Cairo, Egypt; 2009.This paper presents a video tracking system for
Monier, Emad +2 more
core
Star tracking using an event camera
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.
Bagchi, Samya +9 more
core +1 more source

