{"id":"https://openalex.org/W2549689224","doi":"https://doi.org/10.1109/avss.2016.7738060","title":"Exploring depth information for head detection with depth images","display_name":"Exploring depth information for head detection with depth images","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2549689224","doi":"https://doi.org/10.1109/avss.2016.7738060","mag":"2549689224"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2016.7738060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2016.7738060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-01414757","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100429245","display_name":"Siyuan Chen","orcid":"https://orcid.org/0000-0003-1563-6653"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210106545","display_name":"Research Centre Inria Sophia Antipolis - M\u00e9diterran\u00e9e","ror":"https://ror.org/01nzkaw91","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106545"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Siyuan Chen","raw_affiliation_strings":["INRIA Sophia Antipolis, Valbonne, France"],"affiliations":[{"raw_affiliation_string":"INRIA Sophia Antipolis, Valbonne, France","institution_ids":["https://openalex.org/I4210106545","https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037298642","display_name":"Fran\u00e7ois Br\u00e9mond","orcid":"https://orcid.org/0000-0003-2988-2142"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210106545","display_name":"Research Centre Inria Sophia Antipolis - M\u00e9diterran\u00e9e","ror":"https://ror.org/01nzkaw91","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106545"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Bremond","raw_affiliation_strings":["INRIA Sophia Antipolis, Valbonne, France"],"affiliations":[{"raw_affiliation_string":"INRIA Sophia Antipolis, Valbonne, France","institution_ids":["https://openalex.org/I4210106545","https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101962332","display_name":"Hung Thanh Nguyen","orcid":"https://orcid.org/0000-0001-6770-0528"},"institutions":[{"id":"https://openalex.org/I4210106545","display_name":"Research Centre Inria Sophia Antipolis - M\u00e9diterran\u00e9e","ror":"https://ror.org/01nzkaw91","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106545"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hung Nguyen","raw_affiliation_strings":["INRIA Sophia Antipolis, Valbonne, France"],"affiliations":[{"raw_affiliation_string":"INRIA Sophia Antipolis, Valbonne, France","institution_ids":["https://openalex.org/I4210106545","https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078480886","display_name":"Hugues Thomas","orcid":"https://orcid.org/0000-0002-8010-6651"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210106545","display_name":"Research Centre Inria Sophia Antipolis - M\u00e9diterran\u00e9e","ror":"https://ror.org/01nzkaw91","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106545"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hugues Thomas","raw_affiliation_strings":["INRIA Sophia Antipolis, Valbonne, France"],"affiliations":[{"raw_affiliation_string":"INRIA Sophia Antipolis, Valbonne, France","institution_ids":["https://openalex.org/I4210106545","https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100429245"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210106545"],"apc_list":null,"apc_paid":null,"fwci":1.6892,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89683572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"228","last_page":"234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9980999827384949,"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":0.9980999827384949,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9927999973297119,"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/head","display_name":"Head (geology)","score":0.7784785032272339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7577697038650513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7512993812561035},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7068872451782227},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6326466202735901},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6182299852371216},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5626501441001892},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5559198260307312},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.5321599245071411},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5096027851104736},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49091774225234985},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.48220980167388916},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4684346616268158},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4561454951763153},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3528611361980438},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.118915855884552},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10665267705917358},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10210275650024414},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09739518165588379}],"concepts":[{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.7784785032272339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7577697038650513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7512993812561035},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7068872451782227},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6326466202735901},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6182299852371216},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5626501441001892},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5559198260307312},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.5321599245071411},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5096027851104736},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49091774225234985},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.48220980167388916},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4684346616268158},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4561454951763153},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3528611361980438},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.118915855884552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10665267705917358},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10210275650024414},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09739518165588379},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/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},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":2,"locations":[{"id":"doi:10.1109/avss.2016.7738060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2016.7738060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01414757v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01414757","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"AVSS 2016 - 13th International Conference on Advanced Video and Signal-Based Surveillance, Aug 2016, Colorado Springs, United States","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01414757v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01414757","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"AVSS 2016 - 13th International Conference on Advanced Video and Signal-Based Surveillance, Aug 2016, Colorado Springs, United States","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1545641654","https://openalex.org/W1643185111","https://openalex.org/W1898340191","https://openalex.org/W2002142942","https://openalex.org/W2028249942","https://openalex.org/W2028456138","https://openalex.org/W2049338372","https://openalex.org/W2062120586","https://openalex.org/W2102599016","https://openalex.org/W2120815373","https://openalex.org/W2149382413","https://openalex.org/W2161969291","https://openalex.org/W2172156083","https://openalex.org/W2244783700","https://openalex.org/W2413954201","https://openalex.org/W2533958809","https://openalex.org/W3097096317","https://openalex.org/W6657174008","https://openalex.org/W6729363598"],"related_works":["https://openalex.org/W2608226141","https://openalex.org/W2050762184","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W2059356388"],"abstract_inverted_index":{"Head":[0],"detection":[1,11,44,104],"may":[2],"be":[3],"more":[4],"demanding":[5],"than":[6,147],"face":[7,17],"recognition":[8],"and":[9,61,86,124,130],"pedestrian":[10],"in":[12,25,108],"the":[13,26,94],"scenarios":[14],"where":[15],"a":[16,29,55,127,135,140,149],"turns":[18],"away":[19],"or":[20,68],"body":[21,120],"parts":[22],"are":[23],"occluded":[24],"view":[27],"of":[28,83,97,139],"sensor,":[30,129],"but":[31],"locating":[32],"people":[33],"is":[34,59,145],"needed.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39],"introduce":[40],"an":[41],"efficient":[42],"head":[43,57,67,84,89,103,122],"approach":[45],"for":[46,99,113,155],"single":[47],"depth":[48,72,156],"images":[49],"at":[50],"low":[51],"computational":[52],"expense.":[53],"First,":[54],"novel":[56],"descriptor":[58],"developed":[60],"used":[62],"to":[63,74,79,87,126],"classify":[64],"pixels":[65],"as":[66],"non-head.":[69],"We":[70],"use":[71],"values":[73],"guide":[75],"each":[76],"window":[77],"size,":[78],"eliminate":[80],"false":[81],"positives":[82],"centers,":[85],"cluster":[88],"pixels,":[90],"which":[91,144],"significantly":[92],"reduce":[93],"computation":[95],"costs":[96],"searching":[98],"appropriate":[100],"parameters.":[101],"High":[102],"performance":[105],"was":[106],"achieved":[107],"experiments":[109],"-":[110],"90%":[111],"accuracy":[112],"our":[114],"dataset":[115,137],"containing":[116],"heads":[117],"with":[118,152],"different":[119],"postures,":[121],"poses,":[123],"distances":[125],"Kinect2":[128],"above":[131],"70%":[132],"precision":[133],"on":[134],"public":[136],"composed":[138],"few":[141],"daily":[142],"activities,":[143],"higher":[146],"using":[148],"head-shoulder":[150],"detector":[151],"HOG":[153],"feature":[154],"images.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}