{"id":"https://openalex.org/W2135876692","doi":"https://doi.org/10.1186/1687-5281-2012-15","title":"Infrared-based facial points tracking and action units detection in context of car driving simulator","display_name":"Infrared-based facial points tracking and action units detection in context of car driving simulator","publication_year":2012,"publication_date":"2012-09-18","ids":{"openalex":"https://openalex.org/W2135876692","doi":"https://doi.org/10.1186/1687-5281-2012-15","mag":"2135876692"},"language":"en","primary_location":{"id":"doi:10.1186/1687-5281-2012-15","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2012-15","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2012-15","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2012-15","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005258803","display_name":"Parisa Darvish Zadeh Varcheie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111842","display_name":"Computer Research Institute of Montr\u00e9al","ror":"https://ror.org/0279d5115","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210111842"]},{"id":"https://openalex.org/I4210101332","display_name":"Group Image (Poland)","ror":"https://ror.org/01fba6t94","country_code":"PL","type":"company","lineage":["https://openalex.org/I4210101332"]}],"countries":["CA","PL"],"is_corresponding":true,"raw_author_name":"Parisa Darvish Zadeh Varcheie","raw_affiliation_strings":["Group of Research in Image Processing, Genetec Inc., Saint-Laurent, QC, Canada","Vision and Imaging Team, Computer Research Institute of Montr\u00e9al (CRIM), Montr\u00e9al, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Group of Research in Image Processing, Genetec Inc., Saint-Laurent, QC, Canada","institution_ids":["https://openalex.org/I4210101332"]},{"raw_affiliation_string":"Vision and Imaging Team, Computer Research Institute of Montr\u00e9al (CRIM), Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I4210111842"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063240498","display_name":"Claude Chapdelaine","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111842","display_name":"Computer Research Institute of Montr\u00e9al","ror":"https://ror.org/0279d5115","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210111842"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Claude Chapdelaine","raw_affiliation_strings":["Vision and Imaging Team, Computer Research Institute of Montr\u00e9al (CRIM), Montr\u00e9al, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Vision and Imaging Team, Computer Research Institute of Montr\u00e9al (CRIM), Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I4210111842"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111999490","display_name":"Langis Gagnon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111842","display_name":"Computer Research Institute of Montr\u00e9al","ror":"https://ror.org/0279d5115","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210111842"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Langis Gagnon","raw_affiliation_strings":["Vision and Imaging Team, Computer Research Institute of Montr\u00e9al (CRIM), Montr\u00e9al, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Vision and Imaging Team, Computer Research Institute of Montr\u00e9al (CRIM), Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I4210111842"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005258803"],"corresponding_institution_ids":["https://openalex.org/I4210101332","https://openalex.org/I4210111842"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17335171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2012","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9918000102043152,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.7555496096611023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7206171751022339},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6507033109664917},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6049749851226807},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.5614331960678101},{"id":"https://openalex.org/keywords/facial-action-coding-system","display_name":"Facial Action Coding System","score":0.49398380517959595},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.48473069071769714},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44829678535461426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37564608454704285},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07951438426971436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555496096611023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7206171751022339},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6507033109664917},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6049749851226807},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.5614331960678101},{"id":"https://openalex.org/C40346341","wikidata":"https://www.wikidata.org/wiki/Q1391629","display_name":"Facial Action Coding System","level":3,"score":0.49398380517959595},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.48473069071769714},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44829678535461426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37564608454704285},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07951438426971436},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/1687-5281-2012-15","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2012-15","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2012-15","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/1687-5281-2012-15","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2012-15","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2012-15","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310137","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2135876692.pdf","grobid_xml":"https://content.openalex.org/works/W2135876692.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1927399054","https://openalex.org/W1952910563","https://openalex.org/W1967703521","https://openalex.org/W2007431552","https://openalex.org/W2052770734","https://openalex.org/W2103978011","https://openalex.org/W2106390385","https://openalex.org/W2111308925","https://openalex.org/W2115574509","https://openalex.org/W2118877769","https://openalex.org/W2119767457","https://openalex.org/W2121127053","https://openalex.org/W2124627936","https://openalex.org/W2134562561","https://openalex.org/W2140351517","https://openalex.org/W2142578527","https://openalex.org/W2144018720","https://openalex.org/W2147736639","https://openalex.org/W2152826865","https://openalex.org/W2153621257","https://openalex.org/W2155799207","https://openalex.org/W2161406034","https://openalex.org/W2172279486","https://openalex.org/W2995034616","https://openalex.org/W3143835353","https://openalex.org/W4255966010","https://openalex.org/W4285719527","https://openalex.org/W6738473913"],"related_works":["https://openalex.org/W2012415311","https://openalex.org/W1998708415","https://openalex.org/W3169168314","https://openalex.org/W2104311510","https://openalex.org/W3153565281","https://openalex.org/W2627086084","https://openalex.org/W2023657742","https://openalex.org/W2130087906","https://openalex.org/W2049699482","https://openalex.org/W3022236801"],"abstract_inverted_index":{"Facial":[0,152],"expressions":[1],"(FE)":[2],"are":[3,29],"one":[4],"of":[5,14,33,69,108,111,117,137,145,161,168,178,214,219,231],"the":[6,12,30,67,138,143,165,192,196,217,220,234],"important":[7],"cognitive":[8],"load":[9],"markers":[10],"in":[11,55,66,120,142,216,233],"context":[13,68,144],"car":[15,71,146],"driving.":[16],"Any":[17],"muscular":[18],"activity":[19],"can":[20,209],"be":[21],"coded":[22],"as":[23],"an":[24,101],"action":[25],"unit":[26],"(AU)":[27],"which":[28,95],"building":[31],"blocks":[32],"FE.":[34],"Precise":[35],"facial":[36,79,123,171,199],"point":[37],"tracking":[38,81,125],"is":[39,43,96,157,173,188],"crucial":[40],"since":[41],"it":[42],"a":[44,70,77,85,121,150,176,206],"necessary":[45],"step":[46],"for":[47,225],"AU":[48,60],"detection.":[49],"Here,":[50],"we":[51,75,208],"present":[52],"our":[53],"progress":[54],"FE":[56],"analysis":[57,167],"based":[58,90],"on":[59,62,91,126],"detection":[61,136,160,218],"face":[63],"infrared":[64],"videos":[65],"driving":[72],"simulator.":[73],"First,":[74],"propose":[76],"real-time":[78],"points":[80,124,172],"method":[82],"(HCPF-AAM)":[83],"using":[84],"modified":[86],"particle":[87],"filter":[88],"(PF)":[89],"Harris":[92,112],"corner":[93],"samples":[94],"optimized":[97],"and":[98,115,229],"combined":[99],"with":[100,181,204],"Active":[102],"Appearance":[103],"Model":[104],"(AAM)":[105],"approach.":[106],"Robustness":[107],"PF,":[109],"precision":[110,215,232],"corner-based":[113],"samples,":[114],"optimization":[116],"AAM":[118],"result":[119],"powerful":[122],"very":[127],"low-contrast":[128,226],"images":[129,228],"acquired":[130],"under":[131],"near-infrared":[132],"(NIR)":[133],"illumination.":[134],"Second,":[135],"most":[139,222],"common":[140,223],"AUs":[141,224],"driving,":[147],"identified":[148],"by":[149],"certified":[151],"Action":[153],"Coding":[154],"System":[155],"coder":[156],"presented.":[158],"For":[159],"each":[162],"specified":[163],"AU,":[164],"spatio-temporal":[166],"related":[169,197],"tracked":[170,198],"performed.":[174],"Then,":[175],"combination":[177],"rule-based":[179],"scheme":[180],"Probabilistic":[182],"Actively":[183],"Learned":[184],"Support":[185],"Vector":[186],"Machines":[187],"developed":[189],"to":[190],"classify":[191],"features":[193],"calculated":[194],"from":[195],"points.":[200],"Results":[201],"show":[202],"that":[203],"such":[205],"scheme,":[207],"obtain":[210],"more":[211],"than":[212],"91%":[213],"five":[221],"NIR":[227],"90%":[230],"MMI":[235],"dataset.":[236]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
