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

Songyuan, Ji and Gong, Minglun (2019) Vision Based Pay-as-you-throw system: motion detection for garbage and recycle - based on faster RCNN. Research Report. Memorial University of Newfoundland, St. John's, Newfoundland and Labrador.

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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

Item Type: Report (Research Report)
URI: http://research.library.mun.ca/id/eprint/13979
Item ID: 13979
Additional Information: 2016-17 HARRIS CENTRE - MMSB WASTE MANAGEMENT APPLIED RESEARCH FUND
Department(s): Science, Faculty of > Computer Science
Divisions > The Harris Centre
Date: February 2019
Date Type: Publication
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