Surveillance systems integration for real time object identification using weighted bounding single neural network

In this paper, an implementation of a single neural network that classifies objects using bounding boxes and class probabilities is utilized. This features are combined with a real time surveillance system that can identify multiple targets at the same time. YOLO9000 is a contemporary tool in object...

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Bibliographic Details
Main Authors: Alimuin, Ryann, Guiron, Aldrich, Dadios, Elmer P.
Format: text
Published: Animo Repository 2017
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2705
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Institution: De La Salle University

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