{"id":"https://openalex.org/W1511905361","doi":"https://doi.org/10.1109/mva.2015.7153211","title":"Human motion prediction considering environmental context","display_name":"Human motion prediction considering environmental context","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1511905361","doi":"https://doi.org/10.1109/mva.2015.7153211","mag":"1511905361"},"language":"en","primary_location":{"id":"doi:10.1109/mva.2015.7153211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mva.2015.7153211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 14th IAPR International Conference on Machine Vision Applications (MVA)","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/A5018898701","display_name":"Igi Ardiyanto","orcid":"https://orcid.org/0000-0002-0006-1458"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Igi Ardiyanto","raw_affiliation_strings":["Toyohashi University of Technology 1\u20131 Hibarigaoka, Japan","Toyohashi University of Technology, 1-1 Hibarigaoka, Tenpaku-cho, Toyohashi, Aichi 441-8580, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyohashi University of Technology 1\u20131 Hibarigaoka, Japan","institution_ids":["https://openalex.org/I136259955"]},{"raw_affiliation_string":"Toyohashi University of Technology, 1-1 Hibarigaoka, Tenpaku-cho, Toyohashi, Aichi 441-8580, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071725508","display_name":"Jun Miura","orcid":"https://orcid.org/0000-0003-0153-2570"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Miura","raw_affiliation_strings":["Toyohashi University of Technology 1\u20131 Hibarigaoka, Japan","Toyohashi University of Technology, 1-1 Hibarigaoka, Tenpaku-cho, Toyohashi, Aichi 441-8580, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyohashi University of Technology 1\u20131 Hibarigaoka, Japan","institution_ids":["https://openalex.org/I136259955"]},{"raw_affiliation_string":"Toyohashi University of Technology, 1-1 Hibarigaoka, Tenpaku-cho, Toyohashi, Aichi 441-8580, Japan","institution_ids":["https://openalex.org/I136259955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I136259955"],"apc_list":null,"apc_paid":null,"fwci":0.5617,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73382346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"390","last_page":"393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7496673464775085},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6349282264709473},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.6020359992980957},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5962506532669067},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5924895405769348},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5886602997779846},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5865103602409363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5691998600959778},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5024387836456299},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4582982659339905},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4564809799194336},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43722033500671387},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3932250440120697},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38362979888916016},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16840970516204834}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7496673464775085},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6349282264709473},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.6020359992980957},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5962506532669067},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5924895405769348},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5886602997779846},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5865103602409363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5691998600959778},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5024387836456299},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4582982659339905},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4564809799194336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43722033500671387},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3932250440120697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38362979888916016},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16840970516204834},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mva.2015.7153211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mva.2015.7153211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 14th IAPR International Conference on Machine Vision Applications (MVA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5400000214576721,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1967777429","https://openalex.org/W2036502167","https://openalex.org/W2088604406","https://openalex.org/W2101534792","https://openalex.org/W2113989681","https://openalex.org/W2121215404","https://openalex.org/W2147880316","https://openalex.org/W2152891050","https://openalex.org/W2306347658","https://openalex.org/W2336416123","https://openalex.org/W2537931475","https://openalex.org/W2911273949","https://openalex.org/W6678073934","https://openalex.org/W6682082992","https://openalex.org/W6698306295","https://openalex.org/W6703161083"],"related_works":["https://openalex.org/W2101105382","https://openalex.org/W2035558540","https://openalex.org/W2529580585","https://openalex.org/W2804584315","https://openalex.org/W2004712313","https://openalex.org/W2167757589","https://openalex.org/W2332110715","https://openalex.org/W2988011613","https://openalex.org/W2153339584","https://openalex.org/W2806036343"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"an":[3],"approach":[4],"to":[5],"predict":[6],"the":[7,24,28,34,40,49,63,74,82,91,94],"human":[8,35,50,64],"motion.":[9,65],"Instead":[10],"of":[11,23,62,81,93],"using":[12,42],"a":[13,43,58,86],"simple":[14],"motion":[15],"model":[16,61],"as":[17],"widely":[18],"used,":[19],"we":[20,38,47],"take":[21],"advantages":[22,92],"environmental":[25],"context,":[26],"including":[27],"shape":[29],"and":[30,56],"structure,":[31],"for":[32,76],"predicting":[33],"movement.":[36],"First,":[37],"characterize":[39],"environment":[41,55,89],"graph":[44],"representation.":[45],"Subsequently,":[46],"acquire":[48],"trajectory":[51],"tendency":[52],"on":[53,85],"each":[54],"build":[57],"probabilistic":[59],"sequence":[60],"A":[66],"particle":[67],"filter-based":[68],"predictor":[69],"is":[70],"then":[71],"integrated":[72],"into":[73],"system":[75],"generating":[77],"possible":[78],"future":[79],"paths":[80],"person.":[83],"Evaluations":[84],"real":[87],"campus":[88],"show":[90],"proposed":[95],"approach.":[96]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}