{"id":"https://openalex.org/W2801549990","doi":"https://doi.org/10.1504/ijbm.2018.10012738","title":"Face analysis in video: face detection and tracking with pose estimation","display_name":"Face analysis in video: face detection and tracking with pose estimation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2801549990","doi":"https://doi.org/10.1504/ijbm.2018.10012738","mag":"2801549990"},"language":"en","primary_location":{"id":"doi:10.1504/ijbm.2018.10012738","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijbm.2018.10012738","pdf_url":null,"source":{"id":"https://openalex.org/S113607270","display_name":"International Journal of Biometrics","issn_l":"1755-8301","issn":["1755-8301","1755-831X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Biometrics","raw_type":"journal-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/A5020436102","display_name":"Hazar Mliki","orcid":"https://orcid.org/0000-0002-0285-0944"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hazar Mliki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083219723","display_name":"Mohamed Hammami","orcid":"https://orcid.org/0000-0003-3580-0473"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Hammami","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.106,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42991354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":"2","first_page":"121","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9983000159263611,"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/T11448","display_name":"Face recognition and analysis","score":0.9983000159263611,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.998199999332428,"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/T10057","display_name":"Face and Expression Recognition","score":0.9973999857902527,"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":0.7446808218955994},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6995964050292969},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6920614242553711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6776309013366699},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5224103927612305},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.49685195088386536},{"id":"https://openalex.org/keywords/facial-motion-capture","display_name":"Facial motion capture","score":0.4543151557445526},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.413463294506073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2832827568054199},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.2711542546749115},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.075733482837677},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.053526610136032104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7446808218955994},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6995964050292969},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6920614242553711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6776309013366699},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5224103927612305},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.49685195088386536},{"id":"https://openalex.org/C98907195","wikidata":"https://www.wikidata.org/wiki/Q5428562","display_name":"Facial motion capture","level":5,"score":0.4543151557445526},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.413463294506073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2832827568054199},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2711542546749115},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.075733482837677},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.053526610136032104},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijbm.2018.10012738","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijbm.2018.10012738","pdf_url":null,"source":{"id":"https://openalex.org/S113607270","display_name":"International Journal of Biometrics","issn_l":"1755-8301","issn":["1755-8301","1755-831X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Biometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W177590838","https://openalex.org/W1492469939","https://openalex.org/W1525111386","https://openalex.org/W1551668628","https://openalex.org/W1583700199","https://openalex.org/W1598707800","https://openalex.org/W1994304612","https://openalex.org/W2016041204","https://openalex.org/W2034058812","https://openalex.org/W2043460278","https://openalex.org/W2096027770","https://openalex.org/W2111624979","https://openalex.org/W2114879609","https://openalex.org/W2124303167","https://openalex.org/W2125987912","https://openalex.org/W2129434809","https://openalex.org/W2141712375","https://openalex.org/W2147953023","https://openalex.org/W2153746365","https://openalex.org/W2155775419","https://openalex.org/W2162813111","https://openalex.org/W2164542174","https://openalex.org/W2284377348","https://openalex.org/W2293291057","https://openalex.org/W2606265518","https://openalex.org/W3097096317","https://openalex.org/W3112596628","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1967587236","https://openalex.org/W2151699605","https://openalex.org/W2133653344","https://openalex.org/W53042703","https://openalex.org/W2080594779","https://openalex.org/W2378555553","https://openalex.org/W2375878039","https://openalex.org/W2741165524","https://openalex.org/W2368198420","https://openalex.org/W3101807488"],"abstract_inverted_index":{"We":[0],"introduced":[1],"a":[2,106],"full":[3],"automatic":[4],"approach":[5,20,104],"to":[6,45,66,75],"achieve":[7],"face":[8,25,28,32,60,78,82,107],"detection":[9,26,39],"and":[10,31,40],"tracking":[11,29,41,57],"with":[12,92],"pose":[13,33,61],"estimation":[14,34,62],"in":[15,109],"video":[16],"sequences.":[17],"The":[18,85],"proposed":[19,103],"consists":[21],"of":[22,87,101],"three":[23],"modules:":[24],"module,":[27],"module":[30,63],"module.":[35],"A":[36],"combination":[37],"between":[38],"modules":[42,89],"was":[43,64,90],"performed":[44],"overcome":[46],"the":[47,68,76,99,102],"different":[48],"challenging":[49],"problems":[50],"that":[51],"might":[52],"occur":[53],"while":[54],"detecting":[55],"or":[56],"faces.":[58],"Afterward":[59],"applied":[65],"select":[67],"best":[69],"camera":[70],"capture":[71],"which":[72,96],"is":[73],"closest":[74],"frontal":[77],"view":[79],"for":[80,105],"better":[81],"recognition":[83],"task.":[84],"performance":[86],"these":[88],"evaluated":[91],"an":[93],"experimental":[94],"study":[95],"has":[97],"proven":[98],"robustness":[100],"analysis":[108],"video.":[110]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}