{"id":"https://openalex.org/W2920942599","doi":"https://doi.org/10.1117/12.2523090","title":"Head pose estimation with neural networks from surveillant images","display_name":"Head pose estimation with neural networks from surveillant images","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2920942599","doi":"https://doi.org/10.1117/12.2523090","mag":"2920942599"},"language":"en","primary_location":{"id":"doi:10.1117/12.2523090","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2523090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eleventh International Conference on Machine Vision (ICMV 2018)","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/A5101998964","display_name":"Yichao Cai","orcid":"https://orcid.org/0000-0003-1607-8948"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yichao Cai","raw_affiliation_strings":["Wuhan Univ. of Technology (China)"],"affiliations":[{"raw_affiliation_string":"Wuhan Univ. of Technology (China)","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087592855","display_name":"Xiao Zhou","orcid":"https://orcid.org/0000-0002-3591-0982"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zhou","raw_affiliation_strings":["Wuhan Univ. of Technology (China)"],"affiliations":[{"raw_affiliation_string":"Wuhan Univ. of Technology (China)","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062631482","display_name":"Xingang Mou","orcid":"https://orcid.org/0000-0002-1265-8112"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingang Mou","raw_affiliation_strings":["Wuhan Univ. of Technology (China)"],"affiliations":[{"raw_affiliation_string":"Wuhan Univ. of Technology (China)","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086491465","display_name":"Dachuan Li","orcid":"https://orcid.org/0000-0002-7267-9951"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dachuan Li","raw_affiliation_strings":["Univ. of California, Berkeley (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of California, Berkeley (United States)","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035172001","display_name":"Yifei Ming","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Ming","raw_affiliation_strings":["The Chinese Univ. of Hong Kong (China)"],"affiliations":[{"raw_affiliation_string":"The Chinese Univ. of Hong Kong (China)","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101998964"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40106064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"39","issue":null,"first_page":"83","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9983000159263611,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9977999925613403,"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":0.8316025733947754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8059142827987671},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7572346925735474},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7369195222854614},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.6677907109260559},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5887099504470825},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5524482131004333},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.5455030202865601},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5147624015808105},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49749496579170227},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.4932669997215271},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48281630873680115},{"id":"https://openalex.org/keywords/human-head","display_name":"Human head","score":0.4560096859931946},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39281031489372253},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08275166153907776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8316025733947754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8059142827987671},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7572346925735474},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7369195222854614},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.6677907109260559},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5887099504470825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5524482131004333},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.5455030202865601},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5147624015808105},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49749496579170227},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.4932669997215271},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48281630873680115},{"id":"https://openalex.org/C2780549717","wikidata":"https://www.wikidata.org/wiki/Q3409626","display_name":"Human head","level":3,"score":0.4560096859931946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39281031489372253},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08275166153907776},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2523090","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2523090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eleventh International Conference on Machine Vision (ICMV 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1510832779","https://openalex.org/W1536680647","https://openalex.org/W1598866093","https://openalex.org/W1686810756","https://openalex.org/W2055329555","https://openalex.org/W2088049833","https://openalex.org/W2097117768","https://openalex.org/W2410334564","https://openalex.org/W2415953079","https://openalex.org/W2761173690","https://openalex.org/W2770064258","https://openalex.org/W2782064812","https://openalex.org/W2783059410","https://openalex.org/W2793807616","https://openalex.org/W2914761779","https://openalex.org/W2963150697","https://openalex.org/W3023742835","https://openalex.org/W3148714641","https://openalex.org/W3177525997","https://openalex.org/W4241957952","https://openalex.org/W4247534681","https://openalex.org/W4249697040","https://openalex.org/W4286664370","https://openalex.org/W4301045096","https://openalex.org/W4362597616","https://openalex.org/W6620707391","https://openalex.org/W6628973269","https://openalex.org/W6654616022","https://openalex.org/W6657621513","https://openalex.org/W6659586255","https://openalex.org/W6661851633","https://openalex.org/W6662374536","https://openalex.org/W6674955169","https://openalex.org/W6675026286","https://openalex.org/W6678441453","https://openalex.org/W6681978825","https://openalex.org/W6686164453","https://openalex.org/W6687483927","https://openalex.org/W6726322089","https://openalex.org/W6731892127","https://openalex.org/W6733257795","https://openalex.org/W6749302325","https://openalex.org/W6750227808","https://openalex.org/W6752265125","https://openalex.org/W6755893963"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W1976827262","https://openalex.org/W49697837","https://openalex.org/W3122828758","https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2005372642"],"abstract_inverted_index":{"Estimating":[0],"head":[1,71,83,90,115,132,138,156,159,188],"pose":[2,72,86,160],"of":[3,33,49,80,91,99,168,177,180,187,192,198],"pedestrians":[4],"is":[5,108,134,184],"a":[6,15,68,95,102,105,120,131],"crucial":[7],"task":[8,167],"in":[9,18,101,114],"autonomous":[10],"driving":[11],"system.":[12],"It":[13],"plays":[14],"significant":[16],"role":[17],"many":[19],"research":[20],"fields,":[21],"such":[22],"as":[23,148,165,174],"pedestrian":[24,92],"intention":[25],"judgment":[26],"and":[27,85,155],"human-vehicle":[28],"interaction,":[29],"etc.":[30],"While":[31],"most":[32],"the":[34,89,112,127,141,175,178,182,185,195],"current":[35],"studies":[36],"focus":[37],"on":[38],"driver\u2019s-view":[39,61],"images,":[40],"we":[41,66,118,162],"reckon":[42],"that":[43],"surveillant":[44,75,103],"images":[45],"are":[46],"also":[47],"worthy":[48],"attention":[50],"since":[51],"more":[52],"global":[53],"information":[54],"can":[55],"be":[56],"obtained":[57],"from":[58,74,126,140],"them":[59],"than":[60],"images.":[62,76],"In":[63],"this":[64],"paper,":[65],"propose":[67],"method":[69],"for":[70,152],"estimation":[73],"This":[77],"approach":[78],"consists":[79],"two":[81],"stages,":[82],"detection":[84,150],"estimation.":[87],"Since":[88],"takes":[93],"up":[94],"very":[96],"small":[97],"number":[98],"pixels":[100],"image,":[104],"two-step":[106],"strategy":[107],"used":[109],"to":[110,122,136],"improve":[111],"performance":[113,197],"detection.":[116,157,189],"Firstly,":[117],"train":[119],"model":[121],"extract":[123],"body":[124,143,154],"region":[125],"source":[128],"image.":[129],"Secondly,":[130],"detector":[133],"trained":[135],"locate":[137],"position":[139],"extracted":[142],"regions.":[144],"We":[145,171],"use":[146,172],"YOLOv3":[147],"our":[149,199],"network":[151],"both":[153],"For":[158],"estimation,":[161],"treat":[163],"it":[164],"classification":[166],"10":[169],"categories.":[170],"ResNet-50":[173],"backbone":[176],"classifier,":[179],"which":[181],"input":[183],"result":[186],"A":[190],"serial":[191],"experiments":[193],"demonstrate":[194],"good":[196],"proposed":[200],"method.":[201]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}