{"id":"https://openalex.org/W4241521373","doi":"https://doi.org/10.1109/icpr.2004.1334359","title":"Multi feature path modeling for video surveillance","display_name":"Multi feature path modeling for video surveillance","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4241521373","doi":"https://doi.org/10.1109/icpr.2004.1334359"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334359","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2000/4776","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082369829","display_name":"Imran N. Junejo","orcid":"https://orcid.org/0000-0002-7745-7952"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"I.N. Junejo","raw_affiliation_strings":["University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051572547","display_name":"Omar Javed","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"O. Javed","raw_affiliation_strings":["University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080823547","display_name":"Mubarak Shah","orcid":"https://orcid.org/0000-0001-6172-5572"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Shah","raw_affiliation_strings":["University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082369829"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":6.8922,"has_fulltext":false,"cited_by_count":136,"citation_normalized_percentile":{"value":0.98281596,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"716","last_page":"719 Vol.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":0.9998999834060669,"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":0.9998999834060669,"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":0.9983999729156494,"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":0.9948999881744385,"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/trajectory","display_name":"Trajectory","score":0.6984377503395081},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.6690084338188171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6456061601638794},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.6391538381576538},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.600138247013092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5942806601524353},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.593122124671936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5829404592514038},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.52399742603302},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4819357395172119},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.46778711676597595},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.46587368845939636},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4508013427257538},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.44769585132598877},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.399469792842865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3616899251937866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32757946848869324},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17346340417861938},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12671321630477905},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.11057952046394348},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0892704427242279}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6984377503395081},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.6690084338188171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6456061601638794},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.6391538381576538},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.600138247013092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5942806601524353},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.593122124671936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5829404592514038},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.52399742603302},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4819357395172119},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.46778711676597595},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.46587368845939636},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4508013427257538},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.44769585132598877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.399469792842865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3616899251937866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32757946848869324},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17346340417861938},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12671321630477905},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.11057952046394348},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0892704427242279},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2004.1334359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334359","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-5775","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/4776","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-5775","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/4776","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"},"sustainable_development_goals":[{"score":0.75,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1571604258","https://openalex.org/W2026140901","https://openalex.org/W2097350683","https://openalex.org/W2141443657","https://openalex.org/W2153458309","https://openalex.org/W6634128731","https://openalex.org/W6674940903"],"related_works":["https://openalex.org/W2377402383","https://openalex.org/W2380835401","https://openalex.org/W2381912691","https://openalex.org/W2350381577","https://openalex.org/W2353618196","https://openalex.org/W2348074676","https://openalex.org/W2385033175","https://openalex.org/W2374043190","https://openalex.org/W2363298784","https://openalex.org/W2367402697"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,16,46,85,91,120,146],"novel":[4],"method":[5,58,82],"for":[6,53,101,131,142],"detecting":[7],"nonconforming":[8],"trajectories":[9],"of":[10,45,84,164,177,189],"objects":[11,65,71],"as":[12],"they":[13],"pass":[14],"through":[15],"scene.":[17],"Existing":[18],"methods":[19],"mostly":[20],"use":[21,99,139,181],"spatial":[22,30,51,154],"features":[23,141,169],"to":[24,37,62,112,185],"solve":[25],"this":[26],"problem.":[27],"Using":[28],"only":[29],"information":[31,44,52],"is":[32,110],"not":[33],"adequate;":[34],"we":[35,98,138],"need":[36],"take":[38],"into":[39],"consideration":[40],"velocity":[41,162],"and":[42,90,125,175],"curvature":[43,168],"trajectory":[47,128,143],"along":[48],"with":[49],"the":[50,60,95,103,106,114,135,153,157,161,167,178,187],"an":[54,126],"elegant":[55],"solution.":[56],"Our":[57],"has":[59],"ability":[61],"distinguish":[63],"between":[64],"traversing":[66,72],"spatially":[67,73],"dissimilar":[68],"paths,":[69],"or":[70],"proximal":[74],"paths":[75],"but":[76],"having":[77],"different":[78],"spatio-temporal":[79],"characteristics.":[80],"The":[81,149],"consists":[83],"path":[86],"building":[87],"training":[88,96],"phase":[89,137],"testing":[92,136],"phase.":[93],"During":[94,134],"phase,":[97],"graph-cuts":[100],"clustering":[102],"trajectories,":[104],"where":[105],"Hausdorff":[107],"distance":[108],"metric":[109],"used":[111],"calculate":[113],"edge":[115],"weights.":[116],"Each":[117],"cluster":[118],"represents":[119],"path.":[121,133],"An":[122],"envelope":[123],"boundary":[124],"average":[127],"are":[129],"computed":[130],"each":[132],"three":[140],"matching":[144],"in":[145,172],"hierarchical":[147],"fashion.":[148],"first":[150],"feature":[151,159],"measures":[152],"similarity":[155],"while":[156],"second":[158],"compares":[160],"characteristics":[163],"trajectories.":[165],"Finally,":[166],"capture":[170],"discontinuities":[171],"velocity,":[173],"acceleration,":[174],"position":[176],"trajectory.":[179],"We":[180],"real-world":[182],"pedestrian":[183],"sequences":[184],"demonstrate":[186],"practicality":[188],"our":[190],"method.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":11}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2025-10-10T00:00:00"}
