{"id":"https://openalex.org/W1896353038","doi":"https://doi.org/10.1109/cvprw.2015.7301296","title":"Efficient person re-identification by hybrid spatiogram and covariance descriptor","display_name":"Efficient person re-identification by hybrid spatiogram and covariance descriptor","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1896353038","doi":"https://doi.org/10.1109/cvprw.2015.7301296","mag":"1896353038"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2015.7301296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5014829579","display_name":"Mingyong Zeng","orcid":"https://orcid.org/0000-0002-3580-9139"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyong Zeng","raw_affiliation_strings":["College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067747812","display_name":"Zemin Wu","orcid":"https://orcid.org/0000-0001-6141-8599"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zemin Wu","raw_affiliation_strings":["College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100515249","display_name":"Chang Tian","orcid":"https://orcid.org/0009-0001-4387-2971"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Tian","raw_affiliation_strings":["College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057565091","display_name":"Lei Hu","orcid":"https://orcid.org/0000-0001-9481-4176"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Hu","raw_affiliation_strings":["College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"56"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9898999929428101,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7147684693336487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560602784156799},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6187554597854614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6153384447097778},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5809212327003479},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5640025734901428},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5055129528045654},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5044513940811157},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4608535170555115},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36518052220344543},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24102884531021118},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18103119730949402},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07780095934867859}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7147684693336487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560602784156799},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6187554597854614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6153384447097778},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5809212327003479},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5640025734901428},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5055129528045654},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5044513940811157},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4608535170555115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36518052220344543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24102884531021118},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18103119730949402},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07780095934867859},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2015.7301296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W26575457","https://openalex.org/W41482161","https://openalex.org/W1484081748","https://openalex.org/W1518138188","https://openalex.org/W1549083695","https://openalex.org/W1858114510","https://openalex.org/W1935207225","https://openalex.org/W1979260620","https://openalex.org/W1979697177","https://openalex.org/W1982925187","https://openalex.org/W1998443077","https://openalex.org/W1999478721","https://openalex.org/W2012190828","https://openalex.org/W2019543393","https://openalex.org/W2042436258","https://openalex.org/W2046835352","https://openalex.org/W2048110836","https://openalex.org/W2048435478","https://openalex.org/W2067635978","https://openalex.org/W2068042582","https://openalex.org/W2079972027","https://openalex.org/W2089074647","https://openalex.org/W2106869568","https://openalex.org/W2113609219","https://openalex.org/W2115669554","https://openalex.org/W2118837987","https://openalex.org/W2125447566","https://openalex.org/W2125889200","https://openalex.org/W2126791727","https://openalex.org/W2128648922","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2140345984","https://openalex.org/W2147212561","https://openalex.org/W2149052154","https://openalex.org/W2156911635","https://openalex.org/W3101705353","https://openalex.org/W6601069402","https://openalex.org/W6601733005","https://openalex.org/W6628966920","https://openalex.org/W6631178364","https://openalex.org/W6632640995","https://openalex.org/W6638923631","https://openalex.org/W6640727481","https://openalex.org/W6650210536","https://openalex.org/W6677018275","https://openalex.org/W6677767500","https://openalex.org/W6681862080","https://openalex.org/W6683400375","https://openalex.org/W6785535523"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W1482441085","https://openalex.org/W2966858528","https://openalex.org/W2151687600"],"abstract_inverted_index":{"Feature":[0],"and":[1,41,51,69,81,87,106,117,131,152,163],"metric":[2,110,132],"researchings":[3],"are":[4,133,150],"two":[5],"vital":[6],"aspects":[7],"in":[8,21,166],"person":[9,43,126],"re-identification.":[10,36],"Metric":[11],"learning":[12],"seems":[13],"to":[14],"have":[15],"gained":[16],"extra":[17],"advantage":[18],"over":[19],"feature":[20,33,56,77,92],"recent":[22],"evaluations.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,101],"explore":[28],"the":[29,115],"neglected":[30],"potential":[31],"of":[32,61,97],"designing":[34],"for":[35],"We":[37],"propose":[38,103],"a":[39,95],"novel":[40],"efficient":[42,107],"descriptor,":[44],"which":[45,113],"is":[46],"motivated":[47],"by":[48],"traditional":[49],"spatiogram":[50,55],"covariance":[52,76,98],"descriptors.":[53],"The":[54,75,128],"accumulates":[57],"multiple":[58,90],"spatial":[59],"histograms":[60],"different":[62],"image":[63],"regions":[64],"from":[65,94],"several":[66,79],"color":[67],"channels":[68],"then":[70,88],"extracts":[71,89],"three":[72],"descriptive":[73],"sub-features.":[74],"exploits":[78],"colorspaces":[80],"intensity":[82],"gradients":[83],"as":[84,160],"pixel":[85],"features":[86],"statistical":[91],"vectors":[93],"pyramid":[96],"matrices.":[99],"Moreover,":[100],"also":[102,149],"an":[104],"effective":[105],"multi-shot":[108],"re-id":[109],"without":[111],"learning,":[112],"fuses":[114],"residual":[116],"coding":[118,122],"coefficients":[119],"after":[120],"collaboratively":[121],"samples":[123],"on":[124,138],"all":[125],"classes.":[127],"proposed":[129],"descriptor":[130],"evaluated":[134],"with":[135],"current":[136],"methods":[137,142],"benchmark":[139],"datasets.":[140],"Our":[141],"not":[143],"only":[144],"achieve":[145],"state-of-the-art":[146],"results":[147],"but":[148],"straightforward":[151],"computationally":[153],"efficient,":[154],"facilitating":[155],"real-time":[156],"surveillance":[157],"applications":[158],"such":[159],"pedestrian":[161],"tracking":[162],"robotic":[164],"perception":[165],"various":[167],"dynamic":[168],"scenes.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
