Vision Based Pay-as-you-throw system: motion detection for garbage and recycle - based on faster RCNN

dc.contributor.author	Songyuan, Ji
dc.contributor.author	Gong, Minglun
dc.date.issued	2019-02
dc.description.abstract	This project implemented the motion detection and tracking, the goal of project is detection, tracking and counting the different types garbage. The Faster Region Convolutional Neural Network (Faster RCNN or FRCNN) is used as classi�er and detector. Because the count for garbage or recycle is the �nal result, therefore, the tracker is developed based Kalman �filter
dc.description.note	2016-17 HARRIS CENTRE - MMSB WASTE MANAGEMENT APPLIED RESEARCH FUND
dc.format.extent	39
dc.identifier.uri	https://www.mun.ca/harriscentre/media/production/memorial/administrative/the-harris-centre/media-library/reports/WWSB_PAYT_report-Gong.pdf
dc.identifier.uri	https://hdl.handle.net/20.500.14783/8455
dc.language.iso	en
dc.publisher	Memorial University of Newfoundland
dc.relation.uri	https://www.mun.ca/harriscentre/
dc.title	Vision Based Pay-as-you-throw system: motion detection for garbage and recycle - based on faster RCNN
dc.type	research_report
dc.type	monograph
mem.campus	St. John's Campus
mem.department	The Harris Centre
mem.department	Computer Science
mem.divisions	CompSci
mem.divisions	Harris_Centre
mem.fullTextStatus	public
mem.institution	Memorial University of Newfoundland
mem.isPublished	pub
mem.placeOfPub	St. John's, Newfoundland and Labrador

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