{"id":"https://openalex.org/W1905514714","doi":"https://doi.org/10.1109/cvprw.2015.7301280","title":"Subject centric group feature for person re-identification","display_name":"Subject centric group feature for person re-identification","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1905514714","doi":"https://doi.org/10.1109/cvprw.2015.7301280","mag":"1905514714"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2015.7301280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301280","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":"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/A5100717585","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-1390-6904"},"institutions":[{"id":"https://openalex.org/I4210098931","display_name":"Quantitative BioSciences","ror":"https://ror.org/010brsj79","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210098931"]},{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Li Wei","raw_affiliation_strings":["Department of Computer Science, University of Houston Houston, TX, U.S.A","Quantitative Imaging Laboratory, Department of Computer Science, University of Houston, TX 77204-3010, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston Houston, TX, U.S.A","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"Quantitative Imaging Laboratory, Department of Computer Science, University of Houston, TX 77204-3010, U.S.A","institution_ids":["https://openalex.org/I4210098931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038747694","display_name":"Shishir K. Shah","orcid":"https://orcid.org/0000-0003-4093-6906"},"institutions":[{"id":"https://openalex.org/I4210098931","display_name":"Quantitative BioSciences","ror":"https://ror.org/010brsj79","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210098931"]},{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shishir K. Shah","raw_affiliation_strings":["Department of Computer Science, University of Houston Houston, TX, U.S.A","Quantitative Imaging Laboratory, Department of Computer Science, University of Houston, TX 77204-3010, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston Houston, TX, U.S.A","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"Quantitative Imaging Laboratory, Department of Computer Science, University of Houston, TX 77204-3010, U.S.A","institution_ids":["https://openalex.org/I4210098931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100717585"],"corresponding_institution_ids":["https://openalex.org/I4210098931","https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":1.4974,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8793078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"35"},"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":0.9961000084877014,"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":0.9958000183105469,"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":0.7028633952140808},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.6777152419090271},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.6724987030029297},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6399694681167603},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.63405841588974},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6312103271484375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5994777679443359},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5520810484886169},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37332189083099365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3522131145000458},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32988929748535156},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32116949558258057},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1438569724559784},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08447515964508057}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7028633952140808},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.6777152419090271},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.6724987030029297},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6399694681167603},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.63405841588974},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6312103271484375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5994777679443359},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5520810484886169},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37332189083099365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3522131145000458},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32988929748535156},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32116949558258057},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1438569724559784},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08447515964508057},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2015.7301280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301280","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.985.5608","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.985.5608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W04/papers/Wei_Subject_Centric_Group_2015_CVPR_paper.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W46454230","https://openalex.org/W116734009","https://openalex.org/W157648163","https://openalex.org/W760855798","https://openalex.org/W1979260620","https://openalex.org/W1997520974","https://openalex.org/W2036721747","https://openalex.org/W2040819715","https://openalex.org/W2079972027","https://openalex.org/W2098807270","https://openalex.org/W2104060706","https://openalex.org/W2107475454","https://openalex.org/W2125889200","https://openalex.org/W2126680226","https://openalex.org/W2127070222","https://openalex.org/W2127712256","https://openalex.org/W2131255818","https://openalex.org/W2139763424","https://openalex.org/W2143668817","https://openalex.org/W2149167202","https://openalex.org/W2165232124","https://openalex.org/W2167292325","https://openalex.org/W4317524344","https://openalex.org/W6626157760","https://openalex.org/W6674809736"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W4400595174","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W2359488321","https://openalex.org/W2389866386"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,28,73],"subject":[4],"centric":[5],"group":[6,120],"feature":[7,62],"for":[8],"person":[9],"re-identification.":[10],"Our":[11],"approach":[12,90,112],"is":[13,91],"inspired":[14],"by":[15,82],"the":[16,42,77,98],"observation":[17],"that":[18,32,53,110],"people":[19,103],"often":[20],"tend":[21],"to":[22,47,51,63,96],"walk":[23],"alongside":[24],"others":[25],"or":[26],"in":[27,93],"group.":[29],"We":[30,59,75],"argue":[31],"co-travelers'":[33],"information,":[34],"including":[35],"geometry":[36,66],"and":[37,45,67],"visual":[38,57,68,115],"cues,":[39],"can":[40],"reduce":[41],"re-identification":[43,101],"ambiguity":[44],"lead":[46],"better":[48],"accuracy,":[49],"compared":[50],"approaches":[52],"rely":[54],"only":[55],"on":[56],"cues.":[58],"introduce":[60],"person-group":[61,80],"capture":[64],"both":[65],"information":[69,121],"of":[70,100,102],"co-travelers":[71],"around":[72],"subject.":[74],"compute":[76],"dis-similarity":[78],"between":[79],"features":[81],"solving":[83],"an":[84],"integer":[85],"programming":[86],"problem.":[87],"The":[88,107],"proposed":[89],"evaluated":[92],"its":[94],"ability":[95],"improve":[97],"accuracy":[99],"traveling":[104],"within":[105],"groups.":[106],"results":[108],"show":[109],"our":[111],"outperforms":[113],"state-of-the-art":[114],"based":[116,122],"as":[117,119],"well":[118],"methods.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}