{"id":"https://openalex.org/W2032962410","doi":"https://doi.org/10.1145/2683483.2683547","title":"Human Trajectory Forecasting In Indoor Environments Using Geometric Context","display_name":"Human Trajectory Forecasting In Indoor Environments Using Geometric Context","publication_year":2014,"publication_date":"2014-12-14","ids":{"openalex":"https://openalex.org/W2032962410","doi":"https://doi.org/10.1145/2683483.2683547","mag":"2032962410"},"language":"en","primary_location":{"id":"doi:10.1145/2683483.2683547","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2683483.2683547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing","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/A5011572203","display_name":"Pranav Mantini","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pranav Mantini","raw_affiliation_strings":["University of Houston, 4800 Calhoun Road, Houston, TX 77004","University of Houston, 4800 Calhoun Road, Houston, TX 77004#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston, 4800 Calhoun Road, Houston, TX 77004","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"University of Houston, 4800 Calhoun Road, Houston, TX 77004#TAB#","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038747694","display_name":"Shishir K. Shah","orcid":"https://orcid.org/0000-0003-4093-6906"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shishir K. Shah","raw_affiliation_strings":["University of Houston, 4800 Calhoun Road, Houston, TX 77004","University of Houston, 4800 Calhoun Road, Houston, TX 77004#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston, 4800 Calhoun Road, Houston, TX 77004","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"University of Houston, 4800 Calhoun Road, Houston, TX 77004#TAB#","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9915000200271606,"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":0.9915000200271606,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9894999861717224,"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"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/trajectory","display_name":"Trajectory","score":0.8499360084533691},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6666319966316223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6291208267211914},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4050687849521637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40359026193618774},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0992288589477539}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8499360084533691},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6666319966316223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6291208267211914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4050687849521637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40359026193618774},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0992288589477539},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2683483.2683547","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2683483.2683547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G130377791","display_name":null,"funder_award_id":"2009-MU-MU-K004","funder_id":"https://openalex.org/F4320306098","funder_display_name":"U.S. Department of Justice"}],"funders":[{"id":"https://openalex.org/F4320306098","display_name":"U.S. Department of Justice","ror":"https://ror.org/02916qm60"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W41309742","https://openalex.org/W1436939209","https://openalex.org/W1594345873","https://openalex.org/W1823659890","https://openalex.org/W1968381457","https://openalex.org/W1979838576","https://openalex.org/W1983120804","https://openalex.org/W2008810234","https://openalex.org/W2013978178","https://openalex.org/W2056120433","https://openalex.org/W2072723786","https://openalex.org/W2090229683","https://openalex.org/W2101821104","https://openalex.org/W2102283219","https://openalex.org/W2118439990","https://openalex.org/W2126141220","https://openalex.org/W2126829907","https://openalex.org/W2129612824","https://openalex.org/W2129761755","https://openalex.org/W2132505539","https://openalex.org/W2133235827","https://openalex.org/W2142071894","https://openalex.org/W2149519014","https://openalex.org/W2157246496","https://openalex.org/W2157929926","https://openalex.org/W2161969291","https://openalex.org/W2163415743","https://openalex.org/W2210250672","https://openalex.org/W2282760406","https://openalex.org/W2295417718","https://openalex.org/W2911273949","https://openalex.org/W3141101402","https://openalex.org/W4255370038","https://openalex.org/W6695128069"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"A":[0],"human":[1,8,42,146],"trajectory":[2,18,55,111,122,167],"is":[3,58,65],"the":[4,41,49,63,75,78,95,102,133,140,154,164,171],"likely":[5],"path":[6],"a":[7,15,81,91,110,160],"subject":[9],"would":[10],"take":[11],"to":[12,14,22,93,131,151],"get":[13],"destination.":[16],"Human":[17,54],"forecasting":[19,56,112,123,168],"algorithms":[20,29],"try":[21],"estimate":[23,94],"or":[24],"predict":[25],"this":[26,86,116],"path.":[27],"Such":[28],"have":[30,89],"wide":[31],"applications":[32],"in":[33,124,163],"robotics,":[34],"computer":[35],"vision":[36],"and":[37,104,118,139,148],"video":[38],"surveillance.":[39],"Understanding":[40],"behavior":[43,97,173],"can":[44],"provide":[45],"useful":[46],"information":[47],"towards":[48],"design":[50],"of":[51,70,77,98,153,166],"these":[52],"algorithms.":[53],"algorithm":[57,113],"an":[59],"interesting":[60],"problem":[61],"because":[62],"outcome":[64],"influenced":[66],"by":[67,169],"many":[68],"factors,":[69],"which":[71],"we":[72,88],"believe":[73],"that":[74,114],"geometry":[76,103],"environment":[79],"plays":[80],"significant":[82,161],"role.":[83],"In":[84],"addressing":[85],"problem,":[87],"built":[90],"model":[92,138],"occupancy":[96,117,172],"humans":[99],"based":[100],"on":[101],"behavioral":[105],"norms.":[106],"We":[107,128],"also":[108],"develop":[109],"understands":[115],"leverages":[119],"it":[120],"for":[121],"previously":[125],"unseen":[126],"geometries.":[127],"perform":[129],"experiments":[130],"quantify":[132],"error":[134],"between":[135],"our":[136],"prediction":[137],"trajectories":[141],"obtained":[142,158],"from":[143],"real":[144],"world":[145],"subjects":[147],"compare":[149],"them":[150],"state":[152],"art":[155],"models.":[156],"Results":[157],"suggests":[159],"enhancement":[162],"accuracy":[165],"incorporating":[170],"model.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}