PROCEEDINGS OF THE ITE WINTER ANNUAL CONVENTION
Online ISSN : 2424-2306
Print ISSN : 1343-4357
ISSN-L : 1343-4357
2017 ITE Winter Annual Convention
Session ID : 15B-3
Conference information

Kirari! Tracker :Human Detection and Tracking System by Using LiDAR and Deep Learning Engine
*Yoko ISHIITetsuro TOKUNAGAYoshinobu TONOMURAKota HIDAKA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
This paper proposes that a new real time Camera-LiDAR fusion system for tracking of people. Our system provides object labels and the 3D position of people using the deep neural network model called YOLO and LiDAR. By using our system, pseudo-3D-images are recognized sifting back and forward on “Kirari!” stage.
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© 2017 The Institute of Image Information and Television Engineers
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