{"id":"https://openalex.org/W2767458810","doi":"https://doi.org/10.1109/ecmr.2017.8098679","title":"\"Look at this one\" detection sharing between modality-independent classifiers for robotic discovery of people","display_name":"\"Look at this one\" detection sharing between modality-independent classifiers for robotic discovery of people","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2767458810","doi":"https://doi.org/10.1109/ecmr.2017.8098679","mag":"2767458810"},"language":"en","primary_location":{"id":"doi:10.1109/ecmr.2017.8098679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecmr.2017.8098679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 European Conference on Mobile Robots (ECMR)","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/A5049768589","display_name":"Joris Guerry","orcid":null},"institutions":[{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Joris Guerry","raw_affiliation_strings":["ONERA The French Aerospace Lab, Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ONERA The French Aerospace Lab, Palaiseau, France","institution_ids":["https://openalex.org/I2801658355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067965505","display_name":"Bertrand Le Saux","orcid":"https://orcid.org/0000-0001-7162-6746"},"institutions":[{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bertrand Le Saux","raw_affiliation_strings":["ONERA The French Aerospace Lab, Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ONERA The French Aerospace Lab, Palaiseau, France","institution_ids":["https://openalex.org/I2801658355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027931470","display_name":"David Filliat","orcid":"https://orcid.org/0000-0002-5739-1618"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210126360","display_name":"Centre Inria de Saclay","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Filliat","raw_affiliation_strings":["U2IS, Inria FLOWERS team, Universit\u00e9 Paris-Saclay, Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U2IS, Inria FLOWERS team, Universit\u00e9 Paris-Saclay, Palaiseau, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210126360"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2388,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62149441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9975000023841858,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9929999709129333,"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.758198618888855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7447527647018433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6939033269882202},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.645694375038147},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5216284394264221},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5065349340438843},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42744481563568115},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41301050782203674},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4072611331939697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3254908323287964}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.758198618888855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7447527647018433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6939033269882202},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.645694375038147},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5216284394264221},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5065349340438843},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42744481563568115},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41301050782203674},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4072611331939697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3254908323287964},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecmr.2017.8098679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecmr.2017.8098679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 European Conference on Mobile Robots (ECMR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1565402342","https://openalex.org/W1686810756","https://openalex.org/W1910657905","https://openalex.org/W2050361404","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2123528505","https://openalex.org/W2156924265","https://openalex.org/W2161969291","https://openalex.org/W2168195382","https://openalex.org/W2168356304","https://openalex.org/W2194775991","https://openalex.org/W2566550653","https://openalex.org/W2587989515","https://openalex.org/W2612624696","https://openalex.org/W2613718673","https://openalex.org/W2962835968","https://openalex.org/W2963881378","https://openalex.org/W2963956866","https://openalex.org/W3100811978","https://openalex.org/W6620707391","https://openalex.org/W6633727509","https://openalex.org/W6637373629","https://openalex.org/W6683411478","https://openalex.org/W6733387591"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039","https://openalex.org/W2726747157","https://openalex.org/W2010131506","https://openalex.org/W2145797872"],"abstract_inverted_index":{"With":[0],"the":[1,54,57,80,87],"advent":[2],"of":[3,16,30,56,104],"low-cost":[4],"RGBD":[5,82,88],"sensors,":[6],"many":[7],"solutions":[8],"have":[9],"been":[10],"proposed":[11,61],"for":[12,34,114],"extraction":[13],"and":[14,18,86],"fusion":[15,28,96],"colour":[17],"depth":[19],"information.":[20],"In":[21],"this":[22,68],"paper,":[23],"we":[24,72,93,109],"propose":[25,110],"new":[26,112],"different":[27],"approaches":[29],"these":[31,95],"multimodal":[32],"sources":[33],"people":[35,77,89,115],"detection.":[36],"We":[37,52],"are":[38],"especially":[39],"concerned":[40],"by":[41,62],"a":[42,45,49,105,111],"scenario":[43],"where":[44],"robot":[46],"evolves":[47],"in":[48,117],"changing":[50],"environment.":[51],"extend":[53],"use":[55,69],"Faster":[58],"RCNN":[59],"framework":[60],"Girshick":[63],"et":[64],"al.":[65],"[1]":[66],"to":[67],"case":[70],"(i),":[71],"significantly":[73],"improve":[74],"performances":[75],"on":[76,79],"detection":[78,116],"InOutDoor":[81],"People":[83],"dataset":[84,90,113],"[2]":[85],"[3]":[91],"(ii),":[92],"show":[94],"handle":[97],"efficiently":[98],"sensor":[99],"defect":[100],"like":[101],"complete":[102],"lost":[103],"modality":[106],"(iii).":[107],"Furthermore":[108],"difficult":[118],"conditions:":[119],"ONERA.ROOM":[120],"(iv).":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
