{"id":"https://openalex.org/W2990333637","doi":"https://doi.org/10.1109/avss.2019.8909901","title":"VikingDet: A Real-time Person and Face Detector for Surveillance Cameras","display_name":"VikingDet: A Real-time Person and Face Detector for Surveillance Cameras","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2990333637","doi":"https://doi.org/10.1109/avss.2019.8909901","mag":"2990333637"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2019.8909901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/A5054453646","display_name":"Zhongxia Xiong","orcid":"https://orcid.org/0000-0002-1694-6218"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongxia Xiong","raw_affiliation_strings":["School of Transportation Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006210567","display_name":"Ziying Yao","orcid":"https://orcid.org/0000-0001-5697-4275"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziying Yao","raw_affiliation_strings":["School of Transportation Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112990749","display_name":"Yalong Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yalong Ma","raw_affiliation_strings":["School of Transportation Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039406844","display_name":"Xinkai Wu","orcid":"https://orcid.org/0000-0003-4238-0243"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinkai Wu","raw_affiliation_strings":["School of Transportation Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054453646"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66305667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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/T11448","display_name":"Face recognition and analysis","score":0.9980000257492065,"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":0.8763750195503235},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7314174771308899},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7136703729629517},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.6239825487136841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5865707397460938},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.578566312789917},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5082406401634216},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5022165775299072},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.49681857228279114},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4628232419490814},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.44320735335350037},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.435726135969162},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.426031231880188},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.34972596168518066},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3467899262905121},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.30709031224250793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8763750195503235},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7314174771308899},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7136703729629517},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.6239825487136841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5865707397460938},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.578566312789917},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5082406401634216},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5022165775299072},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.49681857228279114},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4628232419490814},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.44320735335350037},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.435726135969162},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.426031231880188},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34972596168518066},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3467899262905121},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30709031224250793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2019.8909901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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":26,"referenced_works":["https://openalex.org/W107366105","https://openalex.org/W182571476","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1594098193","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2068730032","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2554173462","https://openalex.org/W2899505139","https://openalex.org/W2916232351","https://openalex.org/W2962766044","https://openalex.org/W2963037989","https://openalex.org/W2963307811","https://openalex.org/W2963566548","https://openalex.org/W3106250896","https://openalex.org/W3121480429","https://openalex.org/W6607458078","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6743555153","https://openalex.org/W6785652829"],"related_works":["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/W2985118265","https://openalex.org/W3204852000","https://openalex.org/W4312081214","https://openalex.org/W2901758161"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,54,89,143],"propose":[4],"a":[5,120,161,173,202],"novel":[6],"one-stage":[7],"detector":[8,164],"that":[9],"can":[10,186],"simultaneously":[11],"detect":[12],"both":[13,64],"pedestrians":[14],"and":[15,37,66,99,147,185],"their":[16,137],"faces.":[17],"The":[18],"framework":[19],"is":[20,106],"named":[21],"as":[22,195],"VikingDet":[23,105,154],"for":[24,51,93],"its":[25],"simple":[26],"but":[27],"effective":[28],"two-headed":[29],"architecture.":[30],"To":[31],"tackle":[32],"the":[33,58],"challenges":[34],"of":[35,116,205],"person":[36,65],"face":[38,67],"detection":[39,68,76,85],"especially":[40],"under":[41],"surveillance":[42,113],"cameras":[43,114],"(e.g.":[44],"low":[45],"data":[46],"quality,":[47],"complex":[48],"environments,":[49],"requirements":[50],"efficiency,":[52],"etc.),":[53],"make":[55],"contributions":[56],"in":[57,86,112,168],"following":[59],"several":[60,169],"aspects:":[61],"1)":[62],"integrating":[63],"into":[69],"one":[70],"network":[71],"which":[72],"current":[73],"leading":[74],"object":[75],"algorithms":[77],"are":[78],"seldomly":[79],"able":[80,107],"to":[81,108,123,152],"handle;":[82],"2)":[83],"emphasizing":[84],"low-quality":[87],"images.":[88],"introduce":[90],"multiple":[91],"thresholds":[92],"matching":[94],"different":[95],"sized":[96],"positive":[97],"samples,":[98],"set":[100],"proper":[101],"hyper-parameters,":[102],"hence":[103],"our":[104,163],"locate":[109],"small":[110],"objects":[111],"even":[115],"low-quality;":[117],"3)":[118],"introducing":[119],"training":[121,146],"strategy":[122],"utilize":[124],"datasets":[125,132],"on":[126,180,190],"hand.":[127],"Since":[128],"most":[129],"available":[130],"public":[131],"annotate":[133],"only":[134],"people":[135],"without":[136,141],"faces":[138,140],"or":[139,199],"bodies,":[142],"use":[144],"multi-step":[145],"an":[148,191],"integrated":[149],"loss":[150],"function":[151],"train":[153],"with":[155,172,201],"these":[156],"partly":[157],"annotated":[158],"data.":[159],"As":[160],"consequence,":[162],"achieves":[165],"satisfactory":[166],"performances":[167],"relative":[170],"benchmarks":[171],"speed":[174,204],"at":[175],"more":[176],"than":[177],"60":[178],"FPS":[179],"NVIDIA":[181,196],"TITAN":[182],"X":[183],"GPU,":[184],"be":[187],"further":[188],"deployed":[189],"embedded":[192],"device":[193],"such":[194],"Jetson":[197],"TX1":[198],"TX2":[200],"real-time":[203],"over":[206],"28":[207],"FPS.":[208]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
