Person Re-Identification Net of Spindle Net Fusing Facial Feature
In the field of person re-identification, the extraction of pedestrian features is mainly focused on the extraction of features from the whole pedestrian or limb torso, and the facial features are less used. The facial features is integrated into the network to enhance pedestrian recognition accurac...
| Format: | Article |
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| Language: | zho |
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EDP Sciences
2019-10-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2019/05/jnwpu2019375p1070/jnwpu2019375p1070.html |
| _version_ | 1797668394297720832 |
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| collection | DOAJ |
| description | In the field of person re-identification, the extraction of pedestrian features is mainly focused on the extraction of features from the whole pedestrian or limb torso, and the facial features are less used. The facial features is integrated into the network to enhance pedestrian recognition accuracy rate. By introducing the MTCNN facial extraction network in the framework of person re-identification network Spindle Net, and improves the accuracy of person re-identification by improving the weight of facial features in the overall pedestrian characteristics. The experimental results show that the accuracy of Rank-1 on the CUHK01, CUHK03, VIPeR, PRID, i-LIDS, and 3DPeS data sets is 7% higher than that of Spindle Net. |
| first_indexed | 2024-03-11T20:28:34Z |
| format | Article |
| id | doaj.art-b7228b436195404e84acc9ef4caad72e |
| institution | Directory Open Access Journal |
| issn | 1000-2758 2609-7125 |
| language | zho |
| last_indexed | 2024-03-11T20:28:34Z |
| publishDate | 2019-10-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj.art-b7228b436195404e84acc9ef4caad72e2023-10-02T10:53:08ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252019-10-013751070107610.1051/jnwpu/20193751070jnwpu2019375p1070Person Re-Identification Net of Spindle Net Fusing Facial Feature01School of Computer Science and Technology, Changchun University of Science and TechnologySchool of Computer Science and Technology, Changchun University of Science and TechnologyIn the field of person re-identification, the extraction of pedestrian features is mainly focused on the extraction of features from the whole pedestrian or limb torso, and the facial features are less used. The facial features is integrated into the network to enhance pedestrian recognition accuracy rate. By introducing the MTCNN facial extraction network in the framework of person re-identification network Spindle Net, and improves the accuracy of person re-identification by improving the weight of facial features in the overall pedestrian characteristics. The experimental results show that the accuracy of Rank-1 on the CUHK01, CUHK03, VIPeR, PRID, i-LIDS, and 3DPeS data sets is 7% higher than that of Spindle Net.https://www.jnwpu.org/articles/jnwpu/full_html/2019/05/jnwpu2019375p1070/jnwpu2019375p1070.htmlperson re-identificationfacialconvolutional neural network |
| spellingShingle | Person Re-Identification Net of Spindle Net Fusing Facial Feature Xibei Gongye Daxue Xuebao person re-identification facial convolutional neural network |
| title | Person Re-Identification Net of Spindle Net Fusing Facial Feature |
| title_full | Person Re-Identification Net of Spindle Net Fusing Facial Feature |
| title_fullStr | Person Re-Identification Net of Spindle Net Fusing Facial Feature |
| title_full_unstemmed | Person Re-Identification Net of Spindle Net Fusing Facial Feature |
| title_short | Person Re-Identification Net of Spindle Net Fusing Facial Feature |
| title_sort | person re identification net of spindle net fusing facial feature |
| topic | person re-identification facial convolutional neural network |
| url | https://www.jnwpu.org/articles/jnwpu/full_html/2019/05/jnwpu2019375p1070/jnwpu2019375p1070.html |