{"id":"https://openalex.org/W2110813924","doi":"https://doi.org/10.1109/cvpr.2008.4587533","title":"Finding people in archive films through tracking","display_name":"Finding people in archive films through tracking","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2110813924","doi":"https://doi.org/10.1109/cvpr.2008.4587533","mag":"2110813924"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5101790014","display_name":"Xiaofeng Ren","orcid":"https://orcid.org/0000-0002-2120-9239"},"institutions":[{"id":"https://openalex.org/I160992636","display_name":"Toyota Technological Institute at Chicago","ror":"https://ror.org/02sn5gb64","country_code":"US","type":"education","lineage":["https://openalex.org/I160992636"]},{"id":"https://openalex.org/I1293612202","display_name":"Toyota Motor Corporation (Switzerland)","ror":"https://ror.org/05p0pbv75","country_code":"CH","type":"company","lineage":["https://openalex.org/I1293612202","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["CH","US"],"is_corresponding":true,"raw_author_name":"Xiaofeng Ren","raw_affiliation_strings":["Toyota Technological Institute, Chicago, IL, USA","Toyota Technol. Inst. at Chicago, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"Toyota Technological Institute, Chicago, IL, USA","institution_ids":["https://openalex.org/I160992636"]},{"raw_affiliation_string":"Toyota Technol. Inst. at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I1293612202"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101790014"],"corresponding_institution_ids":["https://openalex.org/I1293612202","https://openalex.org/I160992636"],"apc_list":null,"apc_paid":null,"fwci":2.1297,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.88446198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9977999925613403,"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":0.7638028860092163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7302451133728027},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7032482028007507},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6675867438316345},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.652538537979126},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6424291729927063},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6261389255523682},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.6169648766517639},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.6015014052391052},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.595296323299408},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5365505218505859},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.5119927525520325},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4946853816509247},{"id":"https://openalex.org/keywords/field-of-view","display_name":"Field of view","score":0.4221002757549286},{"id":"https://openalex.org/keywords/facial-motion-capture","display_name":"Facial motion capture","score":0.42086780071258545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3987896144390106},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3675757050514221},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1682126522064209}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7638028860092163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7302451133728027},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7032482028007507},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6675867438316345},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.652538537979126},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6424291729927063},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6261389255523682},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.6169648766517639},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.6015014052391052},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.595296323299408},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5365505218505859},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.5119927525520325},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4946853816509247},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.4221002757549286},{"id":"https://openalex.org/C98907195","wikidata":"https://www.wikidata.org/wiki/Q5428562","display_name":"Facial motion capture","level":5,"score":0.42086780071258545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3987896144390106},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3675757050514221},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1682126522064209},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2008.4587533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.141.5272","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.5272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.berkeley.edu/~xren/publication/xren_cvpr08_casablanca.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.409.2475","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.2475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/193.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W304861154","https://openalex.org/W1576520375","https://openalex.org/W1591517974","https://openalex.org/W1778245651","https://openalex.org/W1992825118","https://openalex.org/W2008236684","https://openalex.org/W2030536784","https://openalex.org/W2053181242","https://openalex.org/W2060451775","https://openalex.org/W2080027017","https://openalex.org/W2089181482","https://openalex.org/W2098479385","https://openalex.org/W2107558380","https://openalex.org/W2107985919","https://openalex.org/W2109269337","https://openalex.org/W2114930007","https://openalex.org/W2118025528","https://openalex.org/W2118877769","https://openalex.org/W2123899532","https://openalex.org/W2128981808","https://openalex.org/W2129758780","https://openalex.org/W2139744661","https://openalex.org/W2143060676","https://openalex.org/W2143715815","https://openalex.org/W2146820038","https://openalex.org/W2147880316","https://openalex.org/W2147953023","https://openalex.org/W2152926413","https://openalex.org/W2155511848","https://openalex.org/W2157939923","https://openalex.org/W2159128898","https://openalex.org/W2159871518","https://openalex.org/W2160532363","https://openalex.org/W2160646681","https://openalex.org/W2161406034","https://openalex.org/W2161969291","https://openalex.org/W2162253476","https://openalex.org/W2163965432","https://openalex.org/W2164598857","https://openalex.org/W2165307239","https://openalex.org/W2168682262","https://openalex.org/W2217896605","https://openalex.org/W2613779721","https://openalex.org/W2753461371","https://openalex.org/W3151111735","https://openalex.org/W6634442568","https://openalex.org/W6648736754","https://openalex.org/W6676263510","https://openalex.org/W6677548441","https://openalex.org/W6678384977","https://openalex.org/W6680501335","https://openalex.org/W6682042711","https://openalex.org/W6682082992","https://openalex.org/W6683646220","https://openalex.org/W7052261358"],"related_works":["https://openalex.org/W53042703","https://openalex.org/W2080594779","https://openalex.org/W2375878039","https://openalex.org/W2741165524","https://openalex.org/W2368198420","https://openalex.org/W3101807488","https://openalex.org/W2004195487","https://openalex.org/W2390289544","https://openalex.org/W2910627863","https://openalex.org/W4294892245"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2],"this":[3],"work":[4],"is":[5],"to":[6,39,53,83,89],"find":[7],"all":[8],"people":[9],"in":[10,44,73,93],"archive":[11],"films.":[12],"Challenges":[13],"include":[14],"low":[15],"image":[16],"quality,":[17],"motion":[18],"blur,":[19],"partial":[20],"occlusion,":[21],"non-standard":[22],"poses":[23],"and":[24,34,88,119],"crowded":[25],"scenes.":[26],"We":[27,76],"base":[28],"our":[29],"approach":[30,38],"on":[31,97],"face":[32,48,57,108,133],"detection":[33,58,68],"take":[35],"a":[36,78],"tracking/temporal":[37],"detection.":[40],"Our":[41],"tracker":[42],"operates":[43],"two":[45],"modes,":[46],"following":[47],"detections":[49,92],"whenever":[50],"possible,":[51],"switching":[52],"low-level":[54],"tracking":[55],"if":[56],"fails.":[59],"With":[60],"temporal":[61,104],"correspondences":[62],"established":[63],"by":[64],"tracking,":[65],"we":[66],"formulate":[67],"as":[69],"an":[70],"inference":[71],"problem":[72],"one-dimensional":[74],"chains/tracks.":[75],"use":[77],"conditional":[79],"random":[80],"field":[81],"model":[82],"integrate":[84],"information":[85],"across":[86],"frames":[87],"re-score":[90],"tentative":[91],"tracks.":[94],"Quantitative":[95],"evaluations":[96],"full-length":[98],"films":[99],"show":[100],"that":[101],"the":[102,121],"CRF-based":[103],"detector":[105],"greatly":[106],"improves":[107],"detection,":[109],"increasing":[110],"precision":[111],"for":[112,126],"about":[113],"30%":[114],"(suppressing":[115],"isolated":[116],"false":[117],"positives)":[118],"at":[120],"same":[122],"time":[123],"boosting":[124],"recall":[125],"over":[127],"10%":[128],"(recovering":[129],"difficult":[130],"cases":[131],"where":[132],"detectors":[134],"fail).":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}