Reliable Multi-Person Identification Using DCNN-Based Face Recognition Algorithm and Scale-Ratio Method

Authors
Kim, JunghoonYun, Sang-SeokChoi, JongsukKim, DaijinKang, Bong-Nam
Issue Date
2017-06
Publisher
IEEE
Citation
14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp.97 - 101
Abstract
Recently, deep convolutional neural networks (DCNNs) have set a new trend in the computer vision community by improving the state-of-the-art performance in almost all of applications. We propose DCNN-based face recognition algorithm. This paper aims at analyzing and verifying considerations when the proposed method is implemented in a real environment. First, Multiple images of the same scene are processed. Also, this novel method is considered together with a method to reduce the total recognition time in the perspective of integrated system. We analyzed the experimental data and evaluated the performance by setting up the sensor fusion network in actual classroom.
ISSN
2325-033X
URI
https://pubs.kist.re.kr/handle/201004/114639
Appears in Collections:
KIST Conference Paper > 2017
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE