Making Sense of Neuromorphic Event Data for Human Action Recognition

Making Sense of Neuromorphic Event Data for Human Action Recognition

Neuromorphic vision sensors provide low power sensing and capture salient spatial-temporal events. The majority of the existing neuromorphic sensing work focus on object detection. However, since they only record the events, they provide an efficient signal domain for privacy aware surveillance task...

Full description

Bibliographic Details
Main Authors: Salah Al-Obaidi, Hiba Al-Khafaji, Charith Abhayaratne
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Neuromorphic vision sensing (NVS)
event cameras
dynamic vision sensing (DVS)
human action recognition (HAR)
local features
global features
Online Access:https://ieeexplore.ieee.org/document/9446050/

Internet

https://ieeexplore.ieee.org/document/9446050/

Similar Items