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Due to the cross\u2010device condition, the appearance of different pedestrians may have a high degree of similarity; at this time, using the global features of pedestrians to match often cannot achieve good results. In order to solve these problems, we designed a Spatial Attention Network Guided by Attribute Label (SAN\u2010GAL), which is a dual\u2010trace network containing both attribute classification and Re\u2010ID. Different from the previous approach of simply adding a branch of attribute binary classification network, our SAN\u2010GAL is mainly divided into two connecting steps. First, with attribute labels as guidance, we generate Attribute Attention Heat map (AAH) through Grad\u2010CAM algorithm to accurately locate fine\u2010grained attribute areas of pedestrians. Then, the Attribute Spatial Attention Module (ASAM) is constructed according to the AHH which is taken as the prior knowledge and introduced into the Re\u2010ID network to assist in the discrimination of the Re\u2010ID task. In particular, our SAN\u2010GAL network can integrate the local attribute information and global ID information of pedestrians without introducing additional attribute region annotation, which has good flexibility and adaptability. The test results on Market1501 and DukeMTMC\u2010reID show that our SAN\u2010GAL can achieve good results and can achieve 85.8% Rank\u20101 accuracy on DukeMTMC\u2010reID dataset, which is obviously competitive compared with most Re\u2010ID algorithms.<\/jats:p>","DOI":"10.1155\/2021\/7557361","type":"journal-article","created":{"date-parts":[[2021,8,30]],"date-time":"2021-08-30T21:20:09Z","timestamp":1630358409000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["SAN\u2010GAL: Spatial Attention Network Guided by Attribute Label for Person Re\u2010identification"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8304-5711","authenticated-orcid":false,"given":"Shaoqi","family":"Hou","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9397-7042","authenticated-orcid":false,"given":"Chunhui","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8652-0151","authenticated-orcid":false,"given":"Kangning","family":"Yin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5293-0491","authenticated-orcid":false,"given":"Yiyin","family":"Ding","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5652-5362","authenticated-orcid":false,"given":"Zhiguo","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2178-2147","authenticated-orcid":false,"given":"Guangqiang","family":"Yin","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,8,30]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2018.2830307"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.2980802"},{"key":"e_1_2_9_3_2","doi-asserted-by":"crossref","unstructured":"CaiZ.andHeZ. 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