{"id":"https://openalex.org/W2940385292","doi":"https://doi.org/10.1109/fskd.2018.8686844","title":"Human positioning based on probabilistic occupancy map","display_name":"Human positioning based on probabilistic occupancy map","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2940385292","doi":"https://doi.org/10.1109/fskd.2018.8686844","mag":"2940385292"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2018.8686844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2018.8686844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5063655412","display_name":"Jijun Tong","orcid":"https://orcid.org/0000-0002-6209-6605"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jijun Tong","raw_affiliation_strings":["Zhejiang Sci-Tech University, School of Information Science and Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Sci-Tech University, School of Information Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101574233","display_name":"Lingyu Chen","orcid":"https://orcid.org/0000-0003-4553-1342"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyu Chen","raw_affiliation_strings":["Zhejiang Sci-Tech University, School of Information Science and Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Sci-Tech University, School of Information Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110377674","display_name":"Yicheng Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicheng Cao","raw_affiliation_strings":["Zhejiang Sci-Tech University, School of Information Science and Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Sci-Tech University, School of Information Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1328775524"],"apc_list":null,"apc_paid":null,"fwci":0.0761,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.4445101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"275"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9733999967575073,"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":0.7738108038902283},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.7608790397644043},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.705538809299469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6650675535202026},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5772374868392944},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5367075204849243},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5347762107849121},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4818897843360901},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41520172357559204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22809019684791565},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22170579433441162},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07719865441322327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7738108038902283},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.7608790397644043},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.705538809299469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6650675535202026},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5772374868392944},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5367075204849243},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5347762107849121},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4818897843360901},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41520172357559204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22809019684791565},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22170579433441162},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07719865441322327},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2018.8686844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2018.8686844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2000825879","https://openalex.org/W2031454541","https://openalex.org/W2046013836","https://openalex.org/W2055467580","https://openalex.org/W2120671983","https://openalex.org/W2127070222","https://openalex.org/W2149810929","https://openalex.org/W2158634074"],"related_works":["https://openalex.org/W4282043467","https://openalex.org/W2105697914","https://openalex.org/W2202433167","https://openalex.org/W3093197249","https://openalex.org/W1540010871","https://openalex.org/W3023979140","https://openalex.org/W3177545769","https://openalex.org/W2904068067","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"With":[0],"the":[1,27,39,43,46,53,64,68,72,80,97,109,116],"development":[2],"of":[3,67,99,104,111],"video":[4],"analytics":[5],"technology,":[6],"Video":[7],"surveillance":[8],"system":[9],"can":[10,94],"detect":[11],"and":[12,77,101],"report":[13],"suspicious":[14],"objects":[15,70],"location":[16,58],"information":[17,102],"in":[18,42,48,71,79,85],"time,":[19],"which":[20],"gradually":[21],"changes":[22],"from":[23,75],"post-mortem":[24],"forensics":[25],"to":[26,36,61],"pre-prevention":[28],"mode.":[29],"By":[30],"defining":[31],"a":[32],"discrete":[33],"occupancy":[34,54],"map":[35],"describe":[37],"whether":[38],"object":[40],"is":[41,119],"certain":[44],"space,":[45],"algorithm":[47],"this":[49,86,92],"paper":[50],"iteratively":[51],"estimates":[52],"probability":[55],"for":[56],"each":[57],"so":[59],"as":[60],"quickly":[62],"determine":[63],"specific":[65],"position":[66],"moving":[69],"video.":[73],"Videos":[74],"Internet":[76],"taken":[78],"lab":[81],"are":[82],"both":[83],"tested":[84],"paper.":[87],"The":[88],"result":[89],"shows":[90],"that":[91],"method":[93],"effectively":[95],"solve":[96],"problem":[98],"occlusion":[100],"fusion":[103],"multiple":[105],"camera.":[106],"When":[107],"monitoring":[108],"scene":[110],"3":[112,114],"\u00d7":[113],"(m),":[115],"positioning":[117],"accuracy":[118],"over":[120],"96%.":[121]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}