{"id":"https://openalex.org/W2156511806","doi":"https://doi.org/10.1109/icip.2010.5653573","title":"Crowd behaviour analysis using histograms of motion direction","display_name":"Crowd behaviour analysis using histograms of motion direction","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2156511806","doi":"https://doi.org/10.1109/icip.2010.5653573","mag":"2156511806"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5653573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5653573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5020925863","display_name":"Hannah Dee","orcid":"https://orcid.org/0000-0003-2573-9541"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Hannah M. Dee","raw_affiliation_strings":["GIPSA Laboratory, Grenoble INP, Domaine Universitaire, Saint Martin d'Heres, France"],"affiliations":[{"raw_affiliation_string":"GIPSA Laboratory, Grenoble INP, Domaine Universitaire, Saint Martin d'Heres, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113635433","display_name":"Alice Caplier","orcid":null},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alice Caplier","raw_affiliation_strings":["GIPSA Laboratory, Grenoble INP, Domaine Universitaire, Saint Martin d'Heres, France"],"affiliations":[{"raw_affiliation_string":"GIPSA Laboratory, Grenoble INP, Domaine Universitaire, Saint Martin d'Heres, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020925863"],"corresponding_institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"],"apc_list":null,"apc_paid":null,"fwci":1.3531,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.85272613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1545","last_page":"1548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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":0.9980000257492065,"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":0.7963772416114807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7486450672149658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7465174198150635},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6425209641456604},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6189740896224976},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6179879903793335},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6129661798477173},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5680737495422363},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.5638707876205444},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5148938894271851},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5064965486526489},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4206233024597168},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41813576221466064},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32225140929222107},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09553441405296326},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08674892783164978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7963772416114807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7486450672149658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7465174198150635},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6425209641456604},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6189740896224976},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6179879903793335},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6129661798477173},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5680737495422363},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.5638707876205444},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5148938894271851},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5064965486526489},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4206233024597168},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41813576221466064},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32225140929222107},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09553441405296326},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08674892783164978},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"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/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5653573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5653573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W179668148","https://openalex.org/W1482815597","https://openalex.org/W1523774203","https://openalex.org/W1930422559","https://openalex.org/W2065994824","https://openalex.org/W2086372564","https://openalex.org/W2108404684","https://openalex.org/W2130103520","https://openalex.org/W2140137670","https://openalex.org/W2143646243","https://openalex.org/W2161969291","https://openalex.org/W2260823775","https://openalex.org/W2782143378","https://openalex.org/W3214102110","https://openalex.org/W4285719527","https://openalex.org/W6607331729","https://openalex.org/W6628681060","https://openalex.org/W6679388247","https://openalex.org/W6680598823","https://openalex.org/W6680847167","https://openalex.org/W6692581719","https://openalex.org/W6747850532","https://openalex.org/W6804270185"],"related_works":["https://openalex.org/W2788595494","https://openalex.org/W2244676099","https://openalex.org/W3172556642","https://openalex.org/W3157456843","https://openalex.org/W1990150827","https://openalex.org/W2036676347","https://openalex.org/W1589307369","https://openalex.org/W3165790285","https://openalex.org/W3144351989","https://openalex.org/W2091972240"],"abstract_inverted_index":{"A":[0],"practical":[1],"system":[2],"for":[3,64,126,139],"the":[4,25,59,74,134,144,159],"automated":[5],"analysis":[6],"of":[7,40,48,67,73,92,113,119,141],"crowded":[8],"scenes":[9],"will":[10,61],"have":[11],"to":[12,32],"deal":[13],"with":[14],"multiple":[15],"occlusions":[16],"and":[17,69,86,101,137],"tracking":[18],"failures,":[19],"in":[20,23,34,54,129,143],"a":[21,45,50,71,89],"context":[22],"which":[24,102,130],"cameras":[26],"may":[27],"move":[28],"at":[29,37],"any":[30,35,38],"time":[31,68],"point":[33],"direction,":[36],"level":[39],"zoom.":[41],"This":[42],"paper":[43],"presents":[44],"prototype":[46],"component":[47],"such":[49],"system.":[51],"Much":[52],"work":[53,153],"crowd":[55,162],"modelling":[56],"assumes":[57],"that":[58,70,95],"camera":[60],"be":[62,78,124],"static":[63],"extended":[65],"periods":[66],"model":[72],"scene":[75],"can":[76,123],"therefore":[77],"learned;":[79],"we":[80],"do":[81],"not":[82],"make":[83],"this":[84,152],"assumption":[85],"instead":[87],"build":[88],"simple":[90],"representation":[91,108],"motion":[93,104,114,120],"patterns":[94],"is":[96,109],"applicable":[97],"across":[98],"different":[99],"views":[100],"learns":[103],"scale":[105],"rapidly.":[106],"Our":[107],"based":[110],"upon":[111],"histograms":[112],"direction":[115],"alongside":[116],"an":[117],"indication":[118],"speed.":[121],"These":[122],"used":[125],"detecting":[127],"frames":[128],"behaviour":[131,163],"differs":[132],"from":[133,158],"training":[135],"set,":[136],"also":[138],"localisation":[140],"where":[142],"image":[145],"these":[146],"anomalous":[147],"events":[148],"occur.":[149],"We":[150],"evaluate":[151],"against":[154],"five":[155],"event-detection":[156],"scenarios":[157],"public":[160],"PETS2009":[161],"dataset.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}