{"id":"https://openalex.org/W2791384572","doi":"https://doi.org/10.1109/icip.2017.8296544","title":"Bi-directional long short-term memory architecture for person re-identification with modified triplet embedding","display_name":"Bi-directional long short-term memory architecture for person re-identification with modified triplet embedding","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2791384572","doi":"https://doi.org/10.1109/icip.2017.8296544","mag":"2791384572"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112410699","display_name":"Weilin Zhong","orcid":"https://orcid.org/0009-0001-2960-3310"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weilin Zhong","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100553283","display_name":"Huilin Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huilin Xiong","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558778","display_name":"Zhen Yang","orcid":"https://orcid.org/0000-0003-2487-1305"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Yang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100375832","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-7192-5153"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112410699"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.60049925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1562","last_page":"1566"},"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/T11448","display_name":"Face recognition and analysis","score":0.9973000288009644,"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":0.996999979019165,"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/discriminative-model","display_name":"Discriminative model","score":0.8909409046173096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8111400008201599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7459685802459717},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6984981298446655},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5580440759658813},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5553158521652222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5307574272155762},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5224192142486572},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5186076164245605},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.44554343819618225},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4233478903770447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10008859634399414},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07867342233657837}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8909409046173096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8111400008201599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7459685802459717},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6984981298446655},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5580440759658813},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5553158521652222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5307574272155762},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5224192142486572},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5186076164245605},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.44554343819618225},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4233478903770447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10008859634399414},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07867342233657837},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W166429404","https://openalex.org/W1544176085","https://openalex.org/W1553469512","https://openalex.org/W1602182271","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1979260620","https://openalex.org/W1982925187","https://openalex.org/W1991452654","https://openalex.org/W2034883938","https://openalex.org/W2064675550","https://openalex.org/W2068042582","https://openalex.org/W2096733369","https://openalex.org/W2100649405","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2169495281","https://openalex.org/W2194775991","https://openalex.org/W2253171278","https://openalex.org/W2353169560","https://openalex.org/W2433217581","https://openalex.org/W2468348601","https://openalex.org/W2491664569","https://openalex.org/W2519373641","https://openalex.org/W2520774990","https://openalex.org/W2963026686","https://openalex.org/W6606760634","https://openalex.org/W6632527883","https://openalex.org/W6636160605","https://openalex.org/W6683338658","https://openalex.org/W6684191040","https://openalex.org/W6706180353","https://openalex.org/W6719754411","https://openalex.org/W6722869231"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115","https://openalex.org/W2901057123"],"abstract_inverted_index":{"Matching":[0],"a":[1,63,88,116],"specific":[2],"person":[3,9,28],"across":[4],"non-overlapping":[5],"cameras,":[6],"known":[7],"as":[8],"re-identification,":[10],"is":[11],"an":[12],"important":[13],"yet":[14],"challenging":[15],"task":[16],"owing":[17],"to":[18,84,120,125,141],"the":[19,23,26,42,52,73,79,92,103,107,143,146],"intra-class":[20],"variations":[21],"of":[22,81,145],"images":[24],"from":[25,47,129],"same":[27],"in":[29,87,111],"pose,":[30],"illumination,":[31],"and":[32,50,77,94,106,135],"occlusion.":[33],"Most":[34],"existing":[35],"body-parts":[36],"based":[37],"deep":[38],"methods":[39],"simply":[40],"concatenate":[41],"features":[43,124],"or":[44],"scores":[45],"obtained":[46],"spatial":[48,54,74,93],"parts":[49,75,83],"ignore":[51],"complex":[53],"correlation":[55],"between":[56],"them.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,114],"present":[62],"bi-directional":[64,89,104],"Long":[65],"Short-Term":[66],"Memory":[67],"(Bi-LSTM)":[68],"architecture":[69],"that":[70],"can":[71,98],"process":[72],"sequentially,":[76],"enable":[78],"messages":[80],"different":[82],"go":[85],"through":[86],"manner.":[90],"Therefore,":[91],"contextual":[95],"visual":[96],"information":[97],"be":[99],"modeled":[100],"efficiently":[101],"by":[102],"connections":[105],"internal":[108],"gating":[109],"function":[110],"LSTM.":[112],"Furthermore,":[113],"propose":[115],"modified":[117],"triplet":[118],"loss":[119],"learn":[121],"more":[122],"discriminative":[123],"distinguish":[126],"positive":[127],"pairs":[128],"negative":[130],"pairs.":[131],"Experiments":[132],"on":[133],"CUHK01":[134],"CUHK03":[136],"datasets":[137],"are":[138],"carried":[139],"out":[140],"demonstrate":[142],"effectiveness":[144],"proposed":[147],"method.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}