{"id":"https://openalex.org/W1977545813","doi":"https://doi.org/10.1109/fg.2011.5771454","title":"High resolution face sequences from a PTZ network camera","display_name":"High resolution face sequences from a PTZ network camera","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W1977545813","doi":"https://doi.org/10.1109/fg.2011.5771454","mag":"1977545813"},"language":"en","primary_location":{"id":"doi:10.1109/fg.2011.5771454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2011.5771454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Face and Gesture 2011","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/A5039242362","display_name":"Thang Ba Dinh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thang Ba Dinh","raw_affiliation_strings":["Institute of Robotics and Intelligent Systems, Los Angeles, CA, USA","Institute of Robotics and Intelligent Systems University of Southern, Los Angeles, CA 90089"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Intelligent Systems, Los Angeles, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Institute of Robotics and Intelligent Systems University of Southern, Los Angeles, CA 90089","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018747497","display_name":"Nam Vo","orcid":"https://orcid.org/0000-0003-2196-1946"},"institutions":[{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nam Vo","raw_affiliation_strings":["Faculty of Information Technology, University of Science, Ho Chi Minh, Vietnam","Faculty of Information Technology, University of Science Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Science, Ho Chi Minh, Vietnam","institution_ids":["https://openalex.org/I23582244"]},{"raw_affiliation_string":"Faculty of Information Technology, University of Science Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I23582244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006918685","display_name":"G\u00e9rard Medioni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gerard Medioni","raw_affiliation_strings":["Institute of Robotics and Intelligent Systems, Los Angeles, CA, USA","Institute of Robotics and Intelligent Systems University of Southern, Los Angeles, CA 90089"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Intelligent Systems, Los Angeles, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Institute of Robotics and Intelligent Systems University of Southern, Los Angeles, CA 90089","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"531","last_page":"538"},"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":0.9980000257492065,"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":0.9959999918937683,"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":0.8035426139831543},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7980440258979797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7736685872077942},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6120834350585938},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5778964757919312},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5624604821205139},{"id":"https://openalex.org/keywords/field-of-view","display_name":"Field of view","score":0.5622389316558838},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.528001070022583},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5154019594192505},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.48900899291038513},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.35405391454696655},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2597663998603821},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.25267547369003296},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08091935515403748},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07841527462005615}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8035426139831543},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7980440258979797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736685872077942},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6120834350585938},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5778964757919312},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5624604821205139},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.5622389316558838},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.528001070022583},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5154019594192505},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.48900899291038513},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.35405391454696655},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2597663998603821},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.25267547369003296},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08091935515403748},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07841527462005615},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fg.2011.5771454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2011.5771454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Face and Gesture 2011","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.309.9366","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.9366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://iris.usc.edu/Outlines/papers/2011/dinh-vo-medioni-fg11.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308745","display_name":"Vietnam Education Foundation","ror":"https://ror.org/048c6ht78"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1502024436","https://openalex.org/W1807914171","https://openalex.org/W1987118352","https://openalex.org/W2022897019","https://openalex.org/W2097346583","https://openalex.org/W2097860170","https://openalex.org/W2101183534","https://openalex.org/W2101886560","https://openalex.org/W2102433751","https://openalex.org/W2106604234","https://openalex.org/W2114604696","https://openalex.org/W2115373773","https://openalex.org/W2121193292","https://openalex.org/W2130103520","https://openalex.org/W2146771018","https://openalex.org/W2147533695","https://openalex.org/W2151129315","https://openalex.org/W2157890879","https://openalex.org/W2161160446","https://openalex.org/W2161969291","https://openalex.org/W2167089254","https://openalex.org/W2167090521","https://openalex.org/W2911964244","https://openalex.org/W4231340930","https://openalex.org/W6638399501","https://openalex.org/W6655798865","https://openalex.org/W6679388247","https://openalex.org/W6684274140","https://openalex.org/W6684945483"],"related_works":["https://openalex.org/W2788595494","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W2059356388","https://openalex.org/W325114128"],"abstract_inverted_index":{"We":[0,200],"propose":[1],"here":[2],"to":[3,71,85,124,133,145,157,188,228],"acquire":[4],"high":[5],"resolution":[6],"sequences":[7,28],"of":[8,26,74,90,102,192,211],"a":[9,13,37,63,116,130,143,153],"person's":[10],"face":[11,96,108,112,117,138,148,170,191],"using":[12,62,115],"pan-tilt-zoom":[14],"(PTZ)":[15],"network":[16],"camera.":[17],"This":[18],"capability":[19],"should":[20,97],"prove":[21],"helpful":[22],"in":[23,48,99,106,149,172,209,219],"forensic":[24],"analysis":[25],"video":[27],"as":[29],"frames":[30],"containing":[31,40],"faces":[32,41],"are":[33,82,225],"tagged,":[34],"and":[35,59,120,152,185,213,222],"within":[36],"frame,":[38],"windows":[39],"can":[42],"be":[43],"retrieved.":[44],"The":[45,67],"system":[46,122],"starts":[47],"pedestrian":[49,64],"detector":[50,65,118],"mode,":[51,110],"where":[52,79,94],"the":[53,72,80,87,91,95,100,107,111,121,136,147,150,159,169,190,230],"lens":[54],"angle":[55],"is":[56,113,186],"set":[57],"widest,":[58],"detects":[60],"people":[61],"module.":[66],"camera":[68,154,160],"then":[69],"changes":[70],"region":[73],"interest":[75,193],"(ROI)":[76],"focusing":[77],"mode":[78,128],"parameters":[81],"automatically":[83],"tuned":[84],"put":[86],"upper":[88],"body":[89],"detected":[92,114,137],"person,":[93],"appear,":[98],"field":[101],"view":[103],"(FOV).":[104],"Then,":[105],"detection":[109],"module,":[119],"switches":[123],"an":[125],"active":[126],"tracking":[127,207],"consisting":[129],"control":[131,155],"loop":[132],"actively":[134],"follow":[135],"with":[139,204],"two":[140],"different":[141],"modules:":[142],"tracker":[144,166,203],"track":[146],"image,":[151],"module":[156],"adjust":[158],"parameters.":[161],"During":[162],"this":[163],"loop,":[164],"our":[165,202],"learns":[167],"online":[168],"appearance":[171],"multiple":[173],"views":[174],"under":[175],"all":[176],"condition":[177],"changes.":[178],"It":[179],"runs":[180],"robustly":[181],"at":[182],"15":[183],"fps":[184],"able":[187],"reacquire":[189],"after":[194],"total":[195],"occlusion":[196],"or":[197],"leaving":[198],"FOV.":[199],"compare":[201],"various":[205],"state-of-the-art":[206],"methods":[208],"terms":[210],"precision":[212],"running":[214],"time":[215],"performance.":[216],"Extensive":[217],"experiments":[218],"challenging":[220],"indoor":[221],"outdoor":[223],"conditions":[224],"also":[226],"demonstrated":[227],"validate":[229],"complete":[231],"system.":[232]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}