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) |
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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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