Human motion recognition

Chan, Hei Man

Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/5276

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DC Field	Value	Language
dc.contributor.author	Chan, Hei Man	en_US
dc.date.accessioned	2008-12-10T01:23:42Z
dc.date.accessioned	2017-09-19T09:10:55Z
dc.date.accessioned	2019-02-12T07:28:01Z	-
dc.date.available	2008-12-10T01:23:42Z
dc.date.available	2017-09-19T09:10:55Z
dc.date.available	2019-02-12T07:28:01Z	-
dc.date.issued	2008	en_US
dc.identifier.other	2008eechm994	en_US
dc.identifier.uri	http://144.214.8.231/handle/2031/5276	-
dc.description.abstract	The project aims to develop a vision-based human motion recognition system specifically for recognizing the swimming styles. The captured video is pre-processed and semantic analysis is carried out to extract characteristic features from the video frames. The inference engine, which embeds high-level knowledge of the human motion, is implemented in Bayesian network (BN) and dynamic Bayesian network (DBN). BN and DBN are powerful tools for modelling recurring temporal events. Video of breaststroke and backstroke swimming styles is used to train the BN and DBN, and test the motion recognition system.	en_US
dc.rights	This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.	en_US
dc.rights	Access is restricted to CityU users.	en_US
dc.title	Human motion recognition	en_US
dc.contributor.department	Department of Electronic Engineering	en_US
dc.description.supervisor	Supervisor: Dr. Chan, K L.; Assessor: Dr. Chan, Stanley C F	en_US
Appears in Collections:	Electrical Engineering - Undergraduate Final Year Projects

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