Semantic guidance attention network for occluded person re-identification
To solve the problem of misalignment and mismatch in occluded person Re-ID, SGAN (semantic guided attention network) was proposed.In SGAN, the semantic masks of pedestrians were used as supervision to learn the global and local features through the attention modules, and the training process was dyn...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2021-10-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021184/ |
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| _version_ | 1841539247601876992 |
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| author | Xuena REN Dongming ZHANG Xiuguo BAO Bing LI |
| author_facet | Xuena REN Dongming ZHANG Xiuguo BAO Bing LI |
| author_sort | Xuena REN |
| collection | DOAJ |
| description | To solve the problem of misalignment and mismatch in occluded person Re-ID, SGAN (semantic guided attention network) was proposed.In SGAN, the semantic masks of pedestrians were used as supervision to learn the global and local features through the attention modules, and the training process was dynamically adjusted according to the visibility of local regions.In the inference stage, the part-to-part matching strategy was adopted to adaptively measure visible features based on the feature visibility, which was obtained based on the learned masks from the attention modules.Experimental results show that the average accuracy of SGAN on the holistic datasets is better than most advanced models.Additionally, it is tolerant of occlusions and largely outperforms existing person Re-ID methods on two larger-scale complex occlusion datasets (Occluded-DukeMTMC and P-DukeMTMC-reID). |
| format | Article |
| id | doaj-art-249eb8bbc59749b48c7574daae337663 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2021-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-249eb8bbc59749b48c7574daae3376632025-01-14T07:22:55ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-10-014210611659745285Semantic guidance attention network for occluded person re-identificationXuena RENDongming ZHANGXiuguo BAOBing LITo solve the problem of misalignment and mismatch in occluded person Re-ID, SGAN (semantic guided attention network) was proposed.In SGAN, the semantic masks of pedestrians were used as supervision to learn the global and local features through the attention modules, and the training process was dynamically adjusted according to the visibility of local regions.In the inference stage, the part-to-part matching strategy was adopted to adaptively measure visible features based on the feature visibility, which was obtained based on the learned masks from the attention modules.Experimental results show that the average accuracy of SGAN on the holistic datasets is better than most advanced models.Additionally, it is tolerant of occlusions and largely outperforms existing person Re-ID methods on two larger-scale complex occlusion datasets (Occluded-DukeMTMC and P-DukeMTMC-reID).http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021184/deep learningoccluded person re-identificationattention networksemantic guidancefeature alignment |
| spellingShingle | Xuena REN Dongming ZHANG Xiuguo BAO Bing LI Semantic guidance attention network for occluded person re-identification Tongxin xuebao deep learning occluded person re-identification attention network semantic guidance feature alignment |
| title | Semantic guidance attention network for occluded person re-identification |
| title_full | Semantic guidance attention network for occluded person re-identification |
| title_fullStr | Semantic guidance attention network for occluded person re-identification |
| title_full_unstemmed | Semantic guidance attention network for occluded person re-identification |
| title_short | Semantic guidance attention network for occluded person re-identification |
| title_sort | semantic guidance attention network for occluded person re identification |
| topic | deep learning occluded person re-identification attention network semantic guidance feature alignment |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021184/ |
| work_keys_str_mv | AT xuenaren semanticguidanceattentionnetworkforoccludedpersonreidentification AT dongmingzhang semanticguidanceattentionnetworkforoccludedpersonreidentification AT xiuguobao semanticguidanceattentionnetworkforoccludedpersonreidentification AT bingli semanticguidanceattentionnetworkforoccludedpersonreidentification |