{"id":"https://openalex.org/W2948046039","doi":"https://doi.org/10.1109/access.2019.2920426","title":"Deep Fusion Feature Presentations for Nonaligned Person Re-Identification","display_name":"Deep Fusion Feature Presentations for Nonaligned Person Re-Identification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2948046039","doi":"https://doi.org/10.1109/access.2019.2920426","mag":"2948046039"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2920426","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2920426","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08727888.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08727888.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071685108","display_name":"Meixia Fu","orcid":"https://orcid.org/0000-0001-9725-3116"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meixia Fu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9725-3116","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050158111","display_name":"Songlin Sun","orcid":"https://orcid.org/0000-0002-8700-3401"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songlin Sun","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634253","display_name":"Na Chen","orcid":"https://orcid.org/0000-0002-8382-7729"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Chen","raw_affiliation_strings":["State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8382-7729","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045225481","display_name":"Danshi Wang","orcid":"https://orcid.org/0000-0001-9815-4013"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danshi Wang","raw_affiliation_strings":["State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018668778","display_name":"Xiaoyun Tong","orcid":"https://orcid.org/0000-0002-6436-0625"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyun Tong","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.397,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6394967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"73253","last_page":"73261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8482440710067749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8016039133071899},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7983016967773438},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6404107809066772},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6224328875541687},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5726706981658936},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5494968295097351},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5309747457504272},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4880122244358063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4764821231365204},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4726737439632416},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.46387967467308044},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45682409405708313},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.43774980306625366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8482440710067749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8016039133071899},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7983016967773438},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6404107809066772},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6224328875541687},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5726706981658936},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5494968295097351},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5309747457504272},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4880122244358063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4764821231365204},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4726737439632416},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.46387967467308044},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45682409405708313},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.43774980306625366},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2920426","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2920426","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08727888.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:75505796d6a54c7db8bd3b97d5d9faea","is_oa":true,"landing_page_url":"https://doaj.org/article/75505796d6a54c7db8bd3b97d5d9faea","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 73253-73261 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2920426","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2920426","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08727888.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5144633207","display_name":"\u8d44\u6e90\u53d7\u9650\u4e0b\u7684\u65e0\u7ebf\u591a\u5a92\u4f53\u4f20\u8f93\u6280\u672f\u7814\u7a76","funder_award_id":"61471066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2948046039.pdf","grobid_xml":"https://content.openalex.org/works/W2948046039.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W46454230","https://openalex.org/W71666767","https://openalex.org/W1009458120","https://openalex.org/W1498305593","https://openalex.org/W1566018662","https://openalex.org/W1686810756","https://openalex.org/W1928419358","https://openalex.org/W1941498359","https://openalex.org/W1949591461","https://openalex.org/W1980748255","https://openalex.org/W1982925187","https://openalex.org/W2016017953","https://openalex.org/W2025547231","https://openalex.org/W2048110836","https://openalex.org/W2068042582","https://openalex.org/W2106053110","https://openalex.org/W2108598243","https://openalex.org/W2117154949","https://openalex.org/W2131255818","https://openalex.org/W2157598322","https://openalex.org/W2168356304","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2289130514","https://openalex.org/W2300840837","https://openalex.org/W2463071499","https://openalex.org/W2471048925","https://openalex.org/W2475284720","https://openalex.org/W2511791013","https://openalex.org/W2526833393","https://openalex.org/W2531440880","https://openalex.org/W2583147637","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2589952946","https://openalex.org/W2724213014","https://openalex.org/W2736410039","https://openalex.org/W2755066373","https://openalex.org/W2768610172","https://openalex.org/W2769346661","https://openalex.org/W2903532291","https://openalex.org/W2908440540","https://openalex.org/W2962835968","https://openalex.org/W2962923976","https://openalex.org/W2962926870","https://openalex.org/W2963289251","https://openalex.org/W2963383990","https://openalex.org/W2963574614","https://openalex.org/W2963637710","https://openalex.org/W2963842104","https://openalex.org/W2964130064","https://openalex.org/W3100927979","https://openalex.org/W4236491637","https://openalex.org/W6601887387","https://openalex.org/W6629622560","https://openalex.org/W6633661181","https://openalex.org/W6637373629","https://openalex.org/W6675751002","https://openalex.org/W6677328822","https://openalex.org/W6725558437","https://openalex.org/W6728374919","https://openalex.org/W6734709911","https://openalex.org/W6746255304"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2022849497","https://openalex.org/W3081299480","https://openalex.org/W2407190427","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758","https://openalex.org/W3160516639"],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"aims":[2],"to":[3,84],"retrieve":[4],"the":[5,17,50,86,100,105,114,126,159,163],"pedestrian":[6,32],"across":[7],"different":[8],"cameras.":[9],"It":[10],"is":[11,82],"still":[12],"a":[13,39,56],"challenging":[14],"task":[15],"for":[16,59],"intelligent":[18],"visual":[19],"surveillance":[20],"system":[21],"because":[22],"of":[23,108,116,125,162],"similar":[24],"appearances,":[25],"camera":[26],"shooting":[27],"angles,":[28],"scene":[29],"illumination,":[30],"and":[31,52,120,134,143,146,153],"pose.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,111],"propose":[38],"novel":[40],"two-stream":[41],"network":[42,46],"named":[43],"spatial":[44,67],"segmentation":[45],"that":[47,97,137,147],"learns":[48],"both":[49],"global":[51,71,121],"local":[53,88],"features":[54,89],"in":[55,75],"unified":[57],"framework":[58],"nonaligned":[60],"person":[61],"re-identification.":[62],"One":[63],"stream":[64,81],"focuses":[65],"on":[66,99,129,138,148],"feature":[68,119],"learning":[69],"using":[70],"adaptive":[72],"average":[73,93],"pooling":[74,94],"deep":[76],"convolutional":[77],"neural":[78],"networks.":[79],"Another":[80],"utilized":[83],"learn":[85],"fine":[87],"by":[90],"adopting":[91],"horizontal":[92],"without":[95],"division":[96],"depends":[98],"pose":[101],"predictor.":[102],"To":[103],"assess":[104],"importance":[106],"ranking":[107],"all":[109],"features,":[110],"also":[112],"obtain":[113],"performance":[115,161],"every":[117],"part":[118],"features.":[122],"Our":[123],"evaluation":[124],"proposed":[127,164],"method":[128],"Market-1501":[130],"acquires":[131,140,150],"94.51%":[132],"Rank-1":[133,142,152],"90.78%":[135],"mAP,":[136,145],"DukeMTMC-re-ID":[139],"87.52%":[141],"84.82%":[144],"CHUK03-detected":[149],"69.71%":[151],"71.67%":[154],"mAP;":[155],"these":[156],"findings":[157],"verify":[158],"state-of-the-art":[160],"method.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}