Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
34th (2020)
Session ID : 2O6-GS-13-03
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Deep Learning Application system proposal for detail trafic count
*Junichi OKUBOHiroaki SUGAWARAJunichiro FUJIIKouhei OZASASatoru SATORUHideyuki WADA
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Keywords: AI, Traffic, DNN
CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

We propose using DNN framework for traffic counting. We use normal video camera instead of specially design for traffic counting system. We also design dataset for traffic counting by mixture picture for each category. We also enhance COCO dataset tools to handle our dataset. Using mixture category dataset we can improve detection

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© 2020 The Japanese Society for Artificial Intelligence
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