Human Recognition Based on the Depth Image in Rail Vehicle

A method based on depth image local normal vector characteristic, described by spherical coordinate parameters ( , ), was proposed in this paper and suited to rail vehicle with the high-density passengers. This method implemented the human recognition by capturing the local normal vector, and then e...

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Main Authors: TONG Lu, SHEN Ping, WANG Li-de, LIU Ming-kun
Format: Article
Language:zho
Published: Editorial Department of Electric Drive for Locomotives 2014-01-01
Series:机车电传动
Subjects:
Online Access:http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2014.02.031
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author TONG Lu
SHEN Ping
WANG Li-de
LIU Ming-kun
author_facet TONG Lu
SHEN Ping
WANG Li-de
LIU Ming-kun
author_sort TONG Lu
collection DOAJ
description A method based on depth image local normal vector characteristic, described by spherical coordinate parameters ( , ), was proposed in this paper and suited to rail vehicle with the high-density passengers. This method implemented the human recognition by capturing the local normal vector, and then extracting the head contour. Depth image was a better way to solve the limitations of environmental factors effectively, such as height and illumination. Finally, some experiments were taken to test and verify the real-time performance and accuracy.
format Article
id doaj-art-b25e9ced1aa64e1b8b2cfd77f81139e5
institution OA Journals
issn 1000-128X
language zho
publishDate 2014-01-01
publisher Editorial Department of Electric Drive for Locomotives
record_format Article
series 机车电传动
spelling doaj-art-b25e9ced1aa64e1b8b2cfd77f81139e52025-08-20T01:51:10ZzhoEditorial Department of Electric Drive for Locomotives机车电传动1000-128X2014-01-01464920907440Human Recognition Based on the Depth Image in Rail VehicleTONG LuSHEN PingWANG Li-deLIU Ming-kunA method based on depth image local normal vector characteristic, described by spherical coordinate parameters ( , ), was proposed in this paper and suited to rail vehicle with the high-density passengers. This method implemented the human recognition by capturing the local normal vector, and then extracting the head contour. Depth image was a better way to solve the limitations of environmental factors effectively, such as height and illumination. Finally, some experiments were taken to test and verify the real-time performance and accuracy.http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2014.02.031depth imagenormal vectorRGB-Dobject recognitionfeature extractionpassenger flowrail transit
spellingShingle TONG Lu
SHEN Ping
WANG Li-de
LIU Ming-kun
Human Recognition Based on the Depth Image in Rail Vehicle
机车电传动
depth image
normal vector
RGB-D
object recognition
feature extraction
passenger flow
rail transit
title Human Recognition Based on the Depth Image in Rail Vehicle
title_full Human Recognition Based on the Depth Image in Rail Vehicle
title_fullStr Human Recognition Based on the Depth Image in Rail Vehicle
title_full_unstemmed Human Recognition Based on the Depth Image in Rail Vehicle
title_short Human Recognition Based on the Depth Image in Rail Vehicle
title_sort human recognition based on the depth image in rail vehicle
topic depth image
normal vector
RGB-D
object recognition
feature extraction
passenger flow
rail transit
url http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2014.02.031
work_keys_str_mv AT tonglu humanrecognitionbasedonthedepthimageinrailvehicle
AT shenping humanrecognitionbasedonthedepthimageinrailvehicle
AT wanglide humanrecognitionbasedonthedepthimageinrailvehicle
AT liumingkun humanrecognitionbasedonthedepthimageinrailvehicle