A saccade based framework for real-time motion segmentation using event based vision sensors

10.3389/fnins.2017.00083

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Bibliographic Details
Main Authors:	Mishra, A, Ghosh, R, Principe, J.C, Thakor, N.V, Kukreja, S.L
Other Authors:	DEPT OF ELECTRICAL & COMPUTER ENGG
Format:	Article
Published:	2020
Subjects:	algorithm Article biosensor calculation camera controlled study dynamics measurement accuracy methodology motion motion segmentation saccadic eye movement spatial statistics statistics vision vision sensor
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/176098
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-176098
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spelling	sg-nus-scholar.10635-1760982023-10-31T21:41:36Z A saccade based framework for real-time motion segmentation using event based vision sensors Mishra, A Ghosh, R Principe, J.C Thakor, N.V Kukreja, S.L DEPT OF ELECTRICAL & COMPUTER ENGG LIFE SCIENCES INSTITUTE algorithm Article biosensor calculation camera controlled study dynamics measurement accuracy methodology motion motion segmentation saccadic eye movement spatial statistics statistics vision vision sensor 10.3389/fnins.2017.00083 Frontiers in Neuroscience 11 MAR 83 2020-09-14T08:06:24Z 2020-09-14T08:06:24Z 2017 Article Mishra, A, Ghosh, R, Principe, J.C, Thakor, N.V, Kukreja, S.L (2017). A saccade based framework for real-time motion segmentation using event based vision sensors. Frontiers in Neuroscience 11 (MAR) : 83. ScholarBank@NUS Repository. https://doi.org/10.3389/fnins.2017.00083 1662-4548 https://scholarbank.nus.edu.sg/handle/10635/176098 Unpaywall 20200831
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	algorithm Article biosensor calculation camera controlled study dynamics measurement accuracy methodology motion motion segmentation saccadic eye movement spatial statistics statistics vision vision sensor
spellingShingle	algorithm Article biosensor calculation camera controlled study dynamics measurement accuracy methodology motion motion segmentation saccadic eye movement spatial statistics statistics vision vision sensor Mishra, A Ghosh, R Principe, J.C Thakor, N.V Kukreja, S.L A saccade based framework for real-time motion segmentation using event based vision sensors
description	10.3389/fnins.2017.00083
author2	DEPT OF ELECTRICAL & COMPUTER ENGG
author_facet	DEPT OF ELECTRICAL & COMPUTER ENGG Mishra, A Ghosh, R Principe, J.C Thakor, N.V Kukreja, S.L
format	Article
author	Mishra, A Ghosh, R Principe, J.C Thakor, N.V Kukreja, S.L
author_sort	Mishra, A
title	A saccade based framework for real-time motion segmentation using event based vision sensors
title_short	A saccade based framework for real-time motion segmentation using event based vision sensors
title_full	A saccade based framework for real-time motion segmentation using event based vision sensors
title_fullStr	A saccade based framework for real-time motion segmentation using event based vision sensors
title_full_unstemmed	A saccade based framework for real-time motion segmentation using event based vision sensors
title_sort	saccade based framework for real-time motion segmentation using event based vision sensors
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/176098
_version_	1781792234785472512

A saccade based framework for real-time motion segmentation using event based vision sensors

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