{"id":"https://openalex.org/W3215531242","doi":"https://doi.org/10.1109/icce-tw52618.2021.9603048","title":"Integrating deep learning for 360-degree video applying to space user flow and behavior patterns","display_name":"Integrating deep learning for 360-degree video applying to space user flow and behavior patterns","publication_year":2021,"publication_date":"2021-09-15","ids":{"openalex":"https://openalex.org/W3215531242","doi":"https://doi.org/10.1109/icce-tw52618.2021.9603048","mag":"3215531242"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw52618.2021.9603048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw52618.2021.9603048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","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/A5041275339","display_name":"Cheng-Yen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Cheng-Yen Lin","raw_affiliation_strings":["National Taipei University of Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091150240","display_name":"Sheng-Ming Wang","orcid":"https://orcid.org/0000-0002-4374-6756"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Ming Wang","raw_affiliation_strings":["National Taipei University of Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041275339"],"corresponding_institution_ids":["https://openalex.org/I118292597"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41714052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T13282","display_name":"Automated Road and Building Extraction","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.759558379650116},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.6244028806686401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.525162398815155},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5210235118865967},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4899977743625641},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4879879355430603},{"id":"https://openalex.org/keywords/human-behavior","display_name":"Human behavior","score":0.4475760757923126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.425989031791687},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.41680777072906494},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3304612636566162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759558379650116},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.6244028806686401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.525162398815155},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5210235118865967},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4899977743625641},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4879879355430603},{"id":"https://openalex.org/C117035363","wikidata":"https://www.wikidata.org/wiki/Q3769299","display_name":"Human behavior","level":2,"score":0.4475760757923126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.425989031791687},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.41680777072906494},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3304612636566162},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw52618.2021.9603048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw52618.2021.9603048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8100000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2603203130","https://openalex.org/W2608840656","https://openalex.org/W2963037989"],"related_works":["https://openalex.org/W2082438799","https://openalex.org/W1966986837","https://openalex.org/W2360138227","https://openalex.org/W4365808155","https://openalex.org/W1838455177","https://openalex.org/W1489909378","https://openalex.org/W2392697679","https://openalex.org/W2385990477","https://openalex.org/W2331964906","https://openalex.org/W2067734110"],"abstract_inverted_index":{"Modern":[0],"city":[1],"means":[2],"the":[3,14,41,47,51,121,157],"densely":[4],"populated":[5],"and":[6,9,23,62,85,92,110,113,123,144,150],"developed":[7],"industrial":[8],"commercial":[10],"areas.":[11],"Based":[12],"on":[13],"influence":[15],"of":[16,19,43,58,78,125,129,147],"different":[17,29,59,83],"types":[18],"urban":[20,66],"space,":[21,104],"time,":[22],"industry":[24],"categories,":[25],"pedestrians":[26],"will":[27],"create":[28],"space":[30,80,155],"use":[31,72],"patterns.":[32],"It":[33,116],"has":[34],"always":[35],"been":[36],"an":[37,138],"important":[38],"topic":[39],"for":[40,141],"development":[42],"smart":[44],"cities":[45],"in":[46,65,82,103,153,156],"future":[48],"to":[49,71,75,99],"understand":[50],"user's":[52],"behavior,":[53],"movement":[54],"line,":[55],"direction,":[56],"observation":[57],"aggregation":[60,114],"modes,":[61],"data":[63,87,106,130],"collection":[64,122],"space.":[67],"This":[68],"study":[69],"proposes":[70],"360\u00b0":[73,132],"camera":[74],"capture":[76],"videos":[77],"human":[79,101],"interaction":[81],"spaces,":[84],"integrate":[86],"pre-processing,":[88],"image":[89,93],"optimization":[90],"processing,":[91],"recognition":[94,146],"deep":[95],"learning":[96],"steps,":[97],"trying":[98],"analyze":[100],"position":[102],"basic":[105],"reading,":[107],"walking":[108],"path":[109],"directional":[111],"interpretation,":[112],"mode.":[115],"is":[117],"hoped":[118],"that":[119],"through":[120],"analysis":[124],"a":[126],"large":[127],"amount":[128],"from":[131],"panoramic":[133],"videos,":[134],"we":[135],"can":[136],"develop":[137],"application":[139],"system":[140],"real":[142],"time":[143],"semi-automatic":[145],"user":[148],"characteristics":[149],"behavior":[151],"patterns":[152],"cognitive":[154],"future.":[158]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}