{"id":"https://openalex.org/W2917854536","doi":"https://doi.org/10.1186/s13640-019-0435-6","title":"Improved Viola-Jones face detection algorithm based on HoloLens","display_name":"Improved Viola-Jones face detection algorithm based on HoloLens","publication_year":2019,"publication_date":"2019-02-11","ids":{"openalex":"https://openalex.org/W2917854536","doi":"https://doi.org/10.1186/s13640-019-0435-6","mag":"2917854536"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-019-0435-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0435-6","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0435-6","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/track/pdf/10.1186/s13640-019-0435-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085092010","display_name":"Jing Huang","orcid":"https://orcid.org/0000-0002-7829-8746"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Huang","raw_affiliation_strings":["School of Information Technology, Beijing Normal University, Zhuhai, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Beijing Normal University, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112602692","display_name":"Yunyi Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyi Shang","raw_affiliation_strings":["School of Information Technology, Beijing Normal University, Zhuhai, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Beijing Normal University, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033270758","display_name":"Chen Hai","orcid":"https://orcid.org/0000-0002-3113-252X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Chen","raw_affiliation_strings":["School of Information Technology, Beijing Normal University, Zhuhai, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Beijing Normal University, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085092010"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":3.7801,"has_fulltext":true,"cited_by_count":70,"citation_normalized_percentile":{"value":0.94709712,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"2019","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":0.9972000122070312,"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":0.9972000122070312,"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":0.9950000047683716,"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/T10057","display_name":"Face and Expression Recognition","score":0.9890999794006348,"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/face-detection","display_name":"Face detection","score":0.8483834266662598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7174884080886841},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.674988865852356},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.6138710379600525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6122883558273315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.593652069568634},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5401083827018738},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.4734472930431366},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.467709481716156},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4222880005836487},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3917117714881897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.30195754766464233},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.29949241876602173},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10424500703811646}],"concepts":[{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.8483834266662598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7174884080886841},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.674988865852356},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.6138710379600525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6122883558273315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.593652069568634},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5401083827018738},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.4734472930431366},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.467709481716156},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4222880005836487},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3917117714881897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30195754766464233},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.29949241876602173},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10424500703811646},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-019-0435-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0435-6","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0435-6","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"},{"id":"pmh:oai:doaj.org/article:26c0786647bd46f79ee53da66cfef6b8","is_oa":true,"landing_page_url":"https://doaj.org/article/26c0786647bd46f79ee53da66cfef6b8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-11 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-019-0435-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0435-6","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0435-6","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":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5587550252","display_name":null,"funder_award_id":"2016A030313","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2917854536.pdf","grobid_xml":"https://content.openalex.org/works/W2917854536.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1186885253","https://openalex.org/W2025688831","https://openalex.org/W2038860231","https://openalex.org/W2059450778","https://openalex.org/W2126260915","https://openalex.org/W2281705074","https://openalex.org/W2306755916","https://openalex.org/W2403807954","https://openalex.org/W2490609791","https://openalex.org/W2534687160","https://openalex.org/W2586120381","https://openalex.org/W2620834814","https://openalex.org/W2750202744","https://openalex.org/W2758294629","https://openalex.org/W2807742872","https://openalex.org/W2896154921","https://openalex.org/W2964095005","https://openalex.org/W4241454858"],"related_works":["https://openalex.org/W3135341440","https://openalex.org/W3009637957","https://openalex.org/W4321608871","https://openalex.org/W1017149716","https://openalex.org/W4210671212","https://openalex.org/W2184479093","https://openalex.org/W2431444032","https://openalex.org/W3206255465","https://openalex.org/W2590553524","https://openalex.org/W2350301461"],"abstract_inverted_index":{"The":[0,77],"current":[1],"face":[2,15,44,52,82,94,110,138],"detection":[3,16,28,34,45,53,63,67,78,83,95,100,111,139],"in":[4,26,143,149],"Microsoft":[5],"HoloLens":[6,48,105,133],"can":[7,146],"only":[8],"be":[9,147],"achieved":[10],"by":[11,23],"remote":[12],"call":[13],"of":[14,43,80,92],"interface":[17,96],"algorithm":[18,42,54,84,140],"which":[19],"is,":[20],"however,":[21],"restricted":[22],"network,":[24],"resulting":[25],"slow":[27],"and":[29,65,73,98,112,114,119,129,157],"failing":[30],"to":[31,61],"meet":[32],"real-time":[33,136],"demand.":[35],"This":[36],"paper":[37,145],"proposes":[38],"an":[39],"improved":[40,81],"Viola-Jones":[41,51],"based":[46],"on":[47,56,69,87],"upgrading":[49],"classical":[50],"relying":[55],"Haar-like":[57],"rectangle":[58],"feature":[59],"expansion":[60],"enhance":[62],"efficiency,":[64],"accelerating":[66],"building":[68],"two-dimensional":[70],"convolution":[71],"separation":[72],"image":[74],"re-sampling":[75],"technique.":[76],"efficiency":[79],"is":[85,102],"12%":[86],"average":[88],"higher":[89],"than":[90],"that":[91],"existing":[93],"algorithm,":[97],"its":[99,115],"speed":[101],"four-folded.":[103],"Moreover,":[104],"depth":[106],"camera":[107],"enables":[108],"3D":[109],"location,":[113],"unique":[116],"gaze,":[117],"voice,":[118],"gesture":[120],"interacting":[121],"techniques":[122],"free":[123],"the":[124],"hands,":[125],"thereby":[126],"realizing":[127],"easier":[128],"less-burdened":[130],"man-computer":[131],"interaction.":[132],"furnished":[134],"with":[135],"video":[137],"as":[141,152],"detailed":[142],"this":[144],"applied":[148],"such":[150],"fields":[151],"social":[153],"contact,":[154],"public":[155],"security,":[156],"business":[158],"management.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}