{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/spatial-temporal-person-re-identification","title":"Spatial-Temporal Person Re-identification","arxiv_id":"1812.03282","date":"2018-12-08","proceeding":null,"authors":["Guangcong Wang","Jian-Huang Lai","Peigen Huang","Xiaohua Xie"],"abstract":"Most of current person re-identification (ReID) methods neglect a\nspatial-temporal constraint. Given a query image, conventional methods compute\nthe feature distances between the query image and all the gallery images and\nreturn a similarity ranked table. When the gallery database is very large in\npractice, these approaches fail to obtain a good performance due to appearance\nambiguity across different camera views. In this paper, we propose a novel\ntwo-stream spatial-temporal person ReID (st-ReID) framework that mines both\nvisual semantic information and spatial-temporal information. To this end, a\njoint similarity metric with Logistic Smoothing (LS) is introduced to integrate\ntwo kinds of heterogeneous information into a unified framework. To approximate\na complex spatial-temporal probability distribution, we develop a fast\nHistogram-Parzen (HP) method. With the help of the spatial-temporal constraint,\nthe st-ReID model eliminates lots of irrelevant images and thus narrows the\ngallery database. Without bells and whistles, our st-ReID method achieves\nrank-1 accuracy of 98.1\\% on Market-1501 and 94.4\\% on DukeMTMC-reID, improving\nfrom the baselines 91.2\\% and 83.8\\%, respectively, outperforming all previous\nstate-of-the-art methods by a large margin.","url_abs":"http://arxiv.org/abs/1812.03282v1","url_pdf":"http://arxiv.org/pdf/1812.03282v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"spatial-temporal-person-re-identification","repo_url":"https://github.com/Wanggcong/Spatial-Temporal-Re-identification","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"spatial-temporal-person-re-identification","repo_url":"https://github.com/BonaventureR/person-reid","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"spatial-temporal-person-re-identification","repo_url":"https://github.com/SurajDonthi/Multi-Camera-Person-Re-Identification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"person-re-identification","task_name":"Person Re-Identification"}],"methods":[{"method_slug":"1x1-convolution","method_name":"1x1 Convolution"},{"method_slug":"average-pooling","method_name":"Average Pooling"},{"method_slug":"batch-normalization","method_name":"Batch Normalization"},{"method_slug":"bottleneck-residual-block","method_name":"Bottleneck Residual Block"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"global-average-pooling","method_name":"Global Average Pooling"},{"method_slug":"kaiming-initialization","method_name":"Kaiming Initialization"},{"method_slug":"max-pooling","method_name":"Max Pooling"},{"method_slug":"pcb","method_name":"PCB"},{"method_slug":"relu","method_name":"ReLU"},{"method_slug":"residual-block","method_name":"Residual Block"},{"method_slug":"residual-connection","method_name":"Residual Connection"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/person-re-identification-on-dukemtmc-reid","task":"Person Re-Identification","dataset":"DukeMTMC-reID","model":"st-ReID(RE, RK,Cam)","rank_in_archive_order":5,"of":94,"metrics":{"Rank-1":"94.5","mAP":"92.7"},"uses_additional_data":false},{"leaderboard":"/sota/person-re-identification-on-market-1501","task":"Person Re-Identification","dataset":"Market-1501","model":"st-ReID(RE, RK)","rank_in_archive_order":1,"of":135,"metrics":{"Rank-1":"98.0","Rank-5":"98.9","mAP":"95.5"},"uses_additional_data":true}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1812.03282","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1812.03282"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/SurajDonthi/Multi-Camera-Person-Re-Identification","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/BonaventureR/person-reid","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Wanggcong/Spatial-Temporal-Re-identification","reach":null}],"summary":{"ran_honours":1,"unverified":9},"by_repo_kind":{"official":{"samples":1,"ran":1,"repositories":1},"listed":{"samples":8,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":1,"samples":[{"code_sha256_prefix":"9aaf82b893b3e9ee","entry":"gaussian_func","repo":"Wanggcong/Spatial-Temporal-Re-identification","repo_kind":"official","path":"evaluate_st.py","file_url":"https://github.com/Wanggcong/Spatial-Temporal-Re-identification/blob/HEAD/evaluate_st.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"9aaf82b893b3e9ee"}},{"code_sha256_prefix":"3f91b09177ddeb33","entry":"compute_mAP","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"3f91b09177ddeb33"}},{"code_sha256_prefix":"62a123878266f279","entry":"fliplr","repo":"SurajDonthi/Multi-Camera-Person-Re-Identification","repo_kind":"listed","path":"mtmct_reid/utils.py","file_url":"https://github.com/SurajDonthi/Multi-Camera-Person-Re-Identification/blob/HEAD/mtmct_reid/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"62a123878266f279"}},{"code_sha256_prefix":"e81948c93f987807","entry":"gaussian_func","repo":"SurajDonthi/Multi-Camera-Person-Re-Identification","repo_kind":"listed","path":"mtmct_reid/metrics.py","file_url":"https://github.com/SurajDonthi/Multi-Camera-Person-Re-Identification/blob/HEAD/mtmct_reid/metrics.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e81948c93f987807"}},{"code_sha256_prefix":"fcbb1dec4242c64e","entry":"gaussian_kernel","repo":"SurajDonthi/Multi-Camera-Person-Re-Identification","repo_kind":"listed","path":"mtmct_reid/metrics.py","file_url":"https://github.com/SurajDonthi/Multi-Camera-Person-Re-Identification/blob/HEAD/mtmct_reid/metrics.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"fcbb1dec4242c64e"}},{"code_sha256_prefix":"b710451e7a124eee","entry":"get_ids","repo":"SurajDonthi/Multi-Camera-Person-Re-Identification","repo_kind":"listed","path":"mtmct_reid/utils.py","file_url":"https://github.com/SurajDonthi/Multi-Camera-Person-Re-Identification/blob/HEAD/mtmct_reid/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b710451e7a124eee"}},{"code_sha256_prefix":"a610e67edff490e6","entry":"k_reciprocal_neigh","repo":"SurajDonthi/Multi-Camera-Person-Re-Identification","repo_kind":"listed","path":"mtmct_reid/re_ranking.py","file_url":"https://github.com/SurajDonthi/Multi-Camera-Person-Re-Identification/blob/HEAD/mtmct_reid/re_ranking.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"a610e67edff490e6"}},{"code_sha256_prefix":"35165ce30e80c6e9","entry":"l2_norm_standardize","repo":"SurajDonthi/Multi-Camera-Person-Re-Identification","repo_kind":"listed","path":"mtmct_reid/utils.py","file_url":"https://github.com/SurajDonthi/Multi-Camera-Person-Re-Identification/blob/HEAD/mtmct_reid/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"35165ce30e80c6e9"}},{"code_sha256_prefix":"de28f231b0f30f5d","entry":"re_ranking","repo":"SurajDonthi/Multi-Camera-Person-Re-Identification","repo_kind":"listed","path":"mtmct_reid/re_ranking.py","file_url":"https://github.com/SurajDonthi/Multi-Camera-Person-Re-Identification/blob/HEAD/mtmct_reid/re_ranking.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"de28f231b0f30f5d"}},{"code_sha256_prefix":"4cea3854ac12c460","entry":"st_distribution","repo":"SurajDonthi/Multi-Camera-Person-Re-Identification","repo_kind":"listed","path":"mtmct_reid/metrics.py","file_url":"https://github.com/SurajDonthi/Multi-Camera-Person-Re-Identification/blob/HEAD/mtmct_reid/metrics.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"4cea3854ac12c460"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}