Results 11 to 20 of about 24,911,268 (235)
NeuroPong: the event-based camera driven embedded neuromorphic system
Neuromorphic Computing and EngineeringNeuromorphic computing is a novel style of computing that features low-power spiking neural networks (SNNs) as the main compute components. It is an event-driven computational paradigm that naturally pairs with event-based cameras and their asynchronous ...
Charles P Rizzo +9 more
doaj +2 more sources
CAMERA – Mobility Report 1 [PDF]
, 2019 This report is a result of research performed so far in the scope of the CAMERA Coordination and Support Action (CSA). In CAMERA, we investigate research initiatives from the past decade that focus on the European air transport system and its integration
Cook, A.J. +2 more
core +6 more sources
Activity understanding and unusual event detection in surveillance videos [PDF]
, 2010 PhDComputer scientists have made ceaseless efforts to replicate cognitive video understanding abilities of human brains onto autonomous vision systems.
Loy, Chen Change
core +4 more sources
Audio-based event detection for sports video [PDF]
, 2003 In this paper, we present an audio-based event detection approach shown to be effective when applied to the Sports broadcast data. The main benefit of this approach is the ability to recognise patterns that indicate high levels of crowd response which ...
Baillie, M., Jose, J.M.
core +6 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Automated camera ranking and selection using video content and scene context [PDF]
, 2012 PhDWhen observing a scene with multiple cameras, an important problem to solve is to automatically identify “what camera feed should be shown and when?” The answer to this question is of interest for a number of applications and scenarios ranging from ...
Daniyal, Fahad M.
core +4 more sources
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
doaj +1 more source
, 2021 We will demonstrate an FPGA implementation of an event- based vision sensor using a commercially available frame- based camera. The demonstration setup consists of the host PC that includes the Quartus Prime software which is used to program and ...
Ying Xu +7 more
core +1 more source