{"id":"https://openalex.org/W2535177109","doi":"https://doi.org/10.1109/aipr.2008.4906456","title":"Multi features hybrid Active Shape Model for automated lip contours tracking in video sequence","display_name":"Multi features hybrid Active Shape Model for automated lip contours tracking in video sequence","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2535177109","doi":"https://doi.org/10.1109/aipr.2008.4906456","mag":"2535177109"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2008.4906456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2008.4906456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 37th IEEE Applied Imagery Pattern Recognition Workshop","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":null,"display_name":"Quoc Dinh Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210150358","display_name":"Institut Syst\u00e8mes Intelligents et de Robotique","ror":"https://ror.org/05neq8668","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210150358","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Quoc Dinh Nguyen","raw_affiliation_strings":["Institute of Intelligent Systems and Robotics ISIR-4, University of Pierre and Marie Curie-Paris VI, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Systems and Robotics ISIR-4, University of Pierre and Marie Curie-Paris VI, Paris, France","institution_ids":["https://openalex.org/I4210150358","https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051058655","display_name":"Maurice Milgram","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210150358","display_name":"Institut Syst\u00e8mes Intelligents et de Robotique","ror":"https://ror.org/05neq8668","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210150358","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maurice Milgram","raw_affiliation_strings":["Institute of Intelligent Systems and Robotics ISIR-4, Pierre and Marie Curie University (paris 6), Paris, France"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Systems and Robotics ISIR-4, Pierre and Marie Curie University (paris 6), Paris, France","institution_ids":["https://openalex.org/I4210150358","https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018245166","display_name":"Thi-Hoang-Lan Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I64519617","display_name":"Hanoi University","ror":"https://ror.org/01mxx0e62","country_code":"VN","type":"education","lineage":["https://openalex.org/I64519617"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thi-Hoang-Lan Nguyen","raw_affiliation_strings":["Department of Computer Science, Hanoi University of Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hanoi University of Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I64519617"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210150358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34566775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9908000230789185,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9742000102996826,"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":0.7829799652099609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6699361205101013},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6309249997138977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.577382504940033},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.5738962292671204},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.5378697514533997},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4944291114807129},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.47654396295547485},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4753325283527374},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.47167903184890747},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4480224847793579},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4208534061908722},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.41314971446990967},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.24651280045509338},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23155227303504944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21739497780799866}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7829799652099609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6699361205101013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6309249997138977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.577382504940033},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.5738962292671204},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.5378697514533997},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4944291114807129},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.47654396295547485},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4753325283527374},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47167903184890747},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4480224847793579},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4208534061908722},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.41314971446990967},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.24651280045509338},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23155227303504944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21739497780799866},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2008.4906456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2008.4906456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 37th IEEE Applied Imagery Pattern Recognition Workshop","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W588386246","https://openalex.org/W1521371926","https://openalex.org/W2038952578","https://openalex.org/W2104095591","https://openalex.org/W2115519042","https://openalex.org/W2172803778","https://openalex.org/W3097096317","https://openalex.org/W6617359935","https://openalex.org/W6631076620","https://openalex.org/W6682634897"],"related_works":["https://openalex.org/W3089084972","https://openalex.org/W2030040825","https://openalex.org/W2101536388","https://openalex.org/W1505666352","https://openalex.org/W2129515371","https://openalex.org/W2949493976","https://openalex.org/W2072360209","https://openalex.org/W4248584426","https://openalex.org/W2752761607","https://openalex.org/W2362004654"],"abstract_inverted_index":{"We":[0],"propose":[1,113],"and":[2,25,105,120,124,190],"evaluate":[3],"a":[4,52,128,158,192],"novel":[5],"method":[6,199],"for":[7,93],"enhancing":[8],"performance":[9,82],"of":[10,20,32,170],"lips":[11],"contour":[12],"tracking,":[13],"which":[14,45,57,164],"is":[15,38,49,58,67,134,165,183],"based":[16],"on":[17,177],"the":[18,29,33,41,72,110,147,154,171],"concept":[19],"active":[21,160],"shape":[22,74,161],"models":[23],"(ASM)":[24],"multi":[26],"features.":[27],"On":[28],"first":[30],"image":[31],"video":[34,178],"sequence,":[35],"lip":[36,46,65,73,104,148,201],"region":[37,66],"detected":[39],"using":[40],"Bayesian's":[42],"rule":[43],"in":[44,84,90,200],"color":[47],"information":[48,142],"modeled":[50],"by":[51,60,152],"Gaussian":[53],"mixture":[54],"model":[55,162],"(GMM)":[56],"trained":[59],"expectation-maximization":[61],"(EM)":[62],"algorithm.":[63],"The":[64,131],"then":[68],"used":[69],"to":[70,114,137,167,186],"initialize":[71],"model.":[75],"A":[76],"single":[77,197],"feature-based":[78,198],"ASM":[79,133,156],"presents":[80],"good":[81],"only":[83],"particular":[85],"conditions":[86,95],"but":[87],"gets":[88],"stuck":[89],"local":[91,187],"minima":[92],"noisy":[94],"(like":[96],"beard,":[97],"wrinkle,":[98],"poor":[99],"texture,":[100],"low":[101],"contrast":[102],"between":[103],"skin,":[106],"etc).":[107],"To":[108],"enhance":[109],"convergence,":[111],"we":[112],"use":[115],"2":[116],"features:":[117],"normal":[118],"profile":[119],"grey":[121],"level":[122],"patches,":[123],"combine":[125],"them":[126],"with":[127,157],"voting":[129],"approach.":[130],"standard":[132,155],"not":[135],"able":[136],"take":[138,168],"into":[139],"account":[140],"temporal":[141,172],"from":[143],"previous":[144],"frames":[145],"therefore":[146],"contours":[149],"are":[150],"tracked":[151],"replacing":[153],"hybrid":[159],"(HASM)":[163],"capable":[166],"advantage":[169],"information.":[173],"Initial":[174],"experimental":[175],"results":[176],"sequences":[179],"show":[180],"that":[181],"MF-HASM":[182],"more":[184],"robust":[185],"minimum":[188],"problem":[189],"gives":[191],"higher":[193],"accuracy":[194],"than":[195],"traditional":[196],"tracking":[202],"problem.":[203]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}