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: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Drive for Locomotives
2014-01-01
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| 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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| _version_ | 1850274278137659392 |
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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 |