{"id":"https://openalex.org/W2783059410","doi":"https://doi.org/10.1109/robio.2017.8324433","title":"Robust person head detection based on multi-scale representation fusion of deep convolution neural network","display_name":"Robust person head detection based on multi-scale representation fusion of deep convolution neural network","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2783059410","doi":"https://doi.org/10.1109/robio.2017.8324433","mag":"2783059410"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2017.8324433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2017.8324433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5100381016","display_name":"Yingying Wang","orcid":"https://orcid.org/0000-0002-7439-5901"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Wang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016850606","display_name":"Yingjie Yin","orcid":"https://orcid.org/0000-0003-1797-199X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Yin","raw_affiliation_strings":["Research Center of Precision Sensing and Control, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051743229","display_name":"Wenqi Wu","orcid":"https://orcid.org/0000-0001-5985-2804"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Wu","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101751688","display_name":"Siyang Sun","orcid":"https://orcid.org/0000-0003-0579-2732"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyang Sun","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026151620","display_name":"Xingang Wang","orcid":"https://orcid.org/0000-0002-6851-0109"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingang Wang","raw_affiliation_strings":["Research Center of Precision Sensing and Control, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2771,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.66331992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"296","last_page":"301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9957000017166138,"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":0.9896000027656555,"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/computer-science","display_name":"Computer science","score":0.8062738180160522},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7239049077033997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7118780612945557},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6432493925094604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6392138600349426},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6215817332267761},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6199187636375427},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6137828826904297},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5794015526771545},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.48484528064727783},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4767219126224518},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3941980004310608},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34137988090515137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8062738180160522},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7239049077033997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7118780612945557},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6432493925094604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6392138600349426},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6215817332267761},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6199187636375427},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6137828826904297},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5794015526771545},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48484528064727783},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4767219126224518},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3941980004310608},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34137988090515137},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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/robio.2017.8324433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2017.8324433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4099999964237213,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1533861849","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1817277359","https://openalex.org/W1836465849","https://openalex.org/W1849007038","https://openalex.org/W1849277567","https://openalex.org/W1903029394","https://openalex.org/W1948751323","https://openalex.org/W2031489346","https://openalex.org/W2086724557","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2173179171","https://openalex.org/W2179352600","https://openalex.org/W2194775991","https://openalex.org/W2288122362","https://openalex.org/W2290355700","https://openalex.org/W2593746756","https://openalex.org/W2613718673","https://openalex.org/W2949117887","https://openalex.org/W2962992847","https://openalex.org/W2963037989","https://openalex.org/W2963377935","https://openalex.org/W3097096317","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6631943919","https://openalex.org/W6638943231","https://openalex.org/W6639204139","https://openalex.org/W6676338569","https://openalex.org/W6684191040","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2944728705","https://openalex.org/W3011538607","https://openalex.org/W2904022177","https://openalex.org/W2591697403","https://openalex.org/W4321441197","https://openalex.org/W2964954556","https://openalex.org/W3019910406","https://openalex.org/W2969228573"],"abstract_inverted_index":{"Person":[0],"head":[1,156],"detection":[2,65,79,112,157],"is":[3,68,106,120],"still":[4],"a":[5,92],"challenge":[6],"due":[7],"to":[8,61,70,94,138,147],"the":[9,48,53,63,78,109,123,144,160],"large":[10],"variability":[11],"in":[12,28,47,132],"heads'":[13],"sizes":[14],"and":[15,19,142,165],"orientations,":[16],"lighting":[17],"conditions":[18],"strong":[20],"occlusions.":[21],"Small":[22],"heads":[23],"require":[24],"local":[25,72],"information":[26,73],"contained":[27],"low":[29],"level":[30],"layers":[31,51,76,97,100,129],"instead":[32],"of":[33,36,41,52,89],"semantic":[34],"features":[35],"upper":[37,99],"layers.":[38],"But":[39],"most":[40],"these":[42],"fine":[43],"details":[44],"are":[45,130],"lost":[46],"early":[49],"convolutional":[50],"deep":[54],"convolution":[55],"neural":[56],"networks":[57],"(DCNN).":[58],"In":[59,81],"order":[60],"improve":[62,143],"overall":[64],"accuracy,":[66],"it":[67],"important":[69],"utilize":[71],"from":[74],"lower":[75,96],"into":[77],"framework.":[80],"this":[82],"letter,":[83],"we":[84],"use":[85],"multi-scale":[86],"representation":[87],"fusion":[88],"DCNN":[90],"as":[91,122],"way":[93],"incorporate":[95],"with":[98],"for":[101],"detection.":[102],"Our":[103],"proposed":[104,134,151],"model":[105],"based":[107],"on":[108,159],"recent":[110],"object":[111],"network":[113],"Single":[114],"Shot":[115],"MultiBox":[116],"Detector":[117],"(SSD).":[118],"VGG16":[119],"used":[121,131],"base":[124],"network.":[125],"Batch":[126],"normalization":[127],"(BN)":[128],"our":[133,150],"multi-task":[135],"learning":[136],"method":[137],"accelerate":[139],"training":[140],"process":[141],"robustness.":[145],"Compared":[146],"state-of-the-art":[148],"methods,":[149],"detector":[152],"achieves":[153],"superior":[154],"person":[155],"performance":[158],"HollywoodHeads":[161],"dataset":[162,167],"(81.0":[163],"AP)":[164],"Casablance":[166],"(78.5":[168],"AP).":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
