{"id":"https://openalex.org/W2136644822","doi":"https://doi.org/10.1109/icip.2007.4380063","title":"Video Face Recognition: A Physiological and Behavioural Multimodal Approach","display_name":"Video Face Recognition: A Physiological and Behavioural Multimodal Approach","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2136644822","doi":"https://doi.org/10.1109/icip.2007.4380063","mag":"2136644822"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4380063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4380063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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/A5055038943","display_name":"Federico Matta","orcid":null},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Federico Matta","raw_affiliation_strings":["Eurecom Institute, Sophia-Antipolis, France","Eurecom Inst., Sophia Antipolis#TAB#"],"affiliations":[{"raw_affiliation_string":"Eurecom Institute, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1902872"]},{"raw_affiliation_string":"Eurecom Inst., Sophia Antipolis#TAB#","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055361726","display_name":"Jean\u2010Luc Dugelay","orcid":"https://orcid.org/0000-0003-3151-4330"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Luc Dugelay","raw_affiliation_strings":["Eurecom Institute, Sophia-Antipolis, France","Eurecom Inst., Sophia Antipolis#TAB#"],"affiliations":[{"raw_affiliation_string":"Eurecom Institute, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1902872"]},{"raw_affiliation_string":"Eurecom Inst., Sophia Antipolis#TAB#","institution_ids":["https://openalex.org/I1902872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055038943"],"corresponding_institution_ids":["https://openalex.org/I1902872"],"apc_list":null,"apc_paid":null,"fwci":1.2983,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8275292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"IV ","last_page":" 497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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":0.9934999942779541,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7653121948242188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7170325517654419},{"id":"https://openalex.org/keywords/eigenface","display_name":"Eigenface","score":0.6455658078193665},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5973427295684814},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5945053100585938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5573164224624634},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5544907450675964},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5451854467391968},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.48800769448280334},{"id":"https://openalex.org/keywords/probabilistic-classification","display_name":"Probabilistic classification","score":0.48341381549835205},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4693898558616638},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4644254446029663},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4517275393009186},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.41064757108688354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34920650720596313},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.25289905071258545},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14317527413368225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7653121948242188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7170325517654419},{"id":"https://openalex.org/C104906051","wikidata":"https://www.wikidata.org/wiki/Q29695","display_name":"Eigenface","level":4,"score":0.6455658078193665},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5973427295684814},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5945053100585938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5573164224624634},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5544907450675964},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5451854467391968},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.48800769448280334},{"id":"https://openalex.org/C189119545","wikidata":"https://www.wikidata.org/wiki/Q5128022","display_name":"Probabilistic classification","level":4,"score":0.48341381549835205},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4693898558616638},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4644254446029663},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4517275393009186},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.41064757108688354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34920650720596313},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.25289905071258545},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14317527413368225},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2007.4380063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4380063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1989702938","https://openalex.org/W2101294471","https://openalex.org/W2138451337","https://openalex.org/W2138809777","https://openalex.org/W2140623795","https://openalex.org/W2143542740","https://openalex.org/W3148964180","https://openalex.org/W6680949851"],"related_works":["https://openalex.org/W1994017132","https://openalex.org/W2012473832","https://openalex.org/W1545364738","https://openalex.org/W2359481045","https://openalex.org/W1997320534","https://openalex.org/W103069296","https://openalex.org/W2971659033","https://openalex.org/W2131915304","https://openalex.org/W2801308982","https://openalex.org/W1977005232"],"abstract_inverted_index":{"In":[0],"this":[1],"article":[2],"we":[3,97],"present":[4],"a":[5,40,53,62,73,80],"multimodal":[6,89],"system":[7,90],"to":[8],"person":[9],"recognition":[10],"by":[11,91],"integrating":[12],"two":[13,93],"complementary":[14],"approaches":[15],"that":[16],"work":[17],"with":[18,47],"video":[19],"data.":[20],"The":[21],"first":[22],"module":[23],"exploits":[24],"the":[25,36,42,48,57,68,85,88],"behavioural":[26],"information:":[27,50],"it":[28,51],"is":[29,45,52],"based":[30],"on":[31],"statistical":[32],"features":[33],"computed":[34],"using":[35],"displacement":[37],"signals":[38],"of":[39,56,87,103],"head;":[41],"second":[43],"one":[44],"dealing":[46],"physiological":[49],"probabilistic":[54,70],"extension":[55],"classic":[58],"Eigenface":[59],"approach.":[60],"For":[61],"consistent":[63],"fusion,":[64],"both":[65],"systems":[66],"share":[67],"same":[69],"classification":[71],"framework:":[72],"Gaussian":[74],"mixture":[75],"model":[76],"(GMM)":[77],"approximation":[78],"and":[79,96],"Bayesian":[81],"classifier.":[82],"We":[83],"assess":[84],"performances":[86],"implementing":[92],"fusion":[94],"strategies":[95],"analyse":[98],"their":[99],"evolution":[100],"in":[101],"presence":[102],"artificial":[104],"noise.":[105]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}