REAL-TIME VISUAL DETECTION AND TRACKING FRAMEWORK USING DEEP CONVOLUTIONAL NEURAL NETWORKS FOR MICRO-AERIAL VEHICLE

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Bibliographic Details
Main Author:	LAO MINGJIE
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2018
Subjects:	detection, tracking
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/148554
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-148554
record_format	dspace
spelling	sg-nus-scholar.10635-1485542019-04-12T14:35:57Z REAL-TIME VISUAL DETECTION AND TRACKING FRAMEWORK USING DEEP CONVOLUTIONAL NEURAL NETWORKS FOR MICRO-AERIAL VEHICLE LAO MINGJIE ELECTRICAL & COMPUTER ENGINEERING CHEN BENMEI detection, tracking Master's MASTER OF ENGINEERING 2018-10-31T18:00:36Z 2018-10-31T18:00:36Z 2018-07-20 Thesis LAO MINGJIE (2018-07-20). REAL-TIME VISUAL DETECTION AND TRACKING FRAMEWORK USING DEEP CONVOLUTIONAL NEURAL NETWORKS FOR MICRO-AERIAL VEHICLE. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/148554 en
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
language	English
topic	detection, tracking
spellingShingle	detection, tracking LAO MINGJIE REAL-TIME VISUAL DETECTION AND TRACKING FRAMEWORK USING DEEP CONVOLUTIONAL NEURAL NETWORKS FOR MICRO-AERIAL VEHICLE
description	Master's
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING LAO MINGJIE
format	Theses and Dissertations
author	LAO MINGJIE
author_sort	LAO MINGJIE
title	REAL-TIME VISUAL DETECTION AND TRACKING FRAMEWORK USING DEEP CONVOLUTIONAL NEURAL NETWORKS FOR MICRO-AERIAL VEHICLE
title_short	REAL-TIME VISUAL DETECTION AND TRACKING FRAMEWORK USING DEEP CONVOLUTIONAL NEURAL NETWORKS FOR MICRO-AERIAL VEHICLE
title_full	REAL-TIME VISUAL DETECTION AND TRACKING FRAMEWORK USING DEEP CONVOLUTIONAL NEURAL NETWORKS FOR MICRO-AERIAL VEHICLE
title_fullStr	REAL-TIME VISUAL DETECTION AND TRACKING FRAMEWORK USING DEEP CONVOLUTIONAL NEURAL NETWORKS FOR MICRO-AERIAL VEHICLE
title_full_unstemmed	REAL-TIME VISUAL DETECTION AND TRACKING FRAMEWORK USING DEEP CONVOLUTIONAL NEURAL NETWORKS FOR MICRO-AERIAL VEHICLE
title_sort	real-time visual detection and tracking framework using deep convolutional neural networks for micro-aerial vehicle
publishDate	2018
url	http://scholarbank.nus.edu.sg/handle/10635/148554
_version_	1681098832045146112

REAL-TIME VISUAL DETECTION AND TRACKING FRAMEWORK USING DEEP CONVOLUTIONAL NEURAL NETWORKS FOR MICRO-AERIAL VEHICLE

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