{"id":"https://openalex.org/W2120201259","doi":"https://doi.org/10.1109/avss.2013.6636653","title":"Frame-by-frame crowd motion classification from affine motion models","display_name":"Frame-by-frame crowd motion classification from affine motion models","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2120201259","doi":"https://doi.org/10.1109/avss.2013.6636653","mag":"2120201259"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2013.6636653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2013.6636653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance","raw_type":"proceedings-article"},"type":"preprint","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":null,"display_name":"Antoine Basset","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Antoine Basset","raw_affiliation_strings":["Inria, Rennes, France","[Centre Rennes Bretagne Atlantique, INRIA, Rennes, France]"],"affiliations":[{"raw_affiliation_string":"Inria, Rennes, France","institution_ids":["https://openalex.org/I4210133778"]},{"raw_affiliation_string":"[Centre Rennes Bretagne Atlantique, INRIA, Rennes, France]","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029961820","display_name":"Patrick Bouth\u00e9my","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrick Bouthemy","raw_affiliation_strings":["Inria, Rennes, France","[Centre Rennes Bretagne Atlantique, INRIA, Rennes, France]"],"affiliations":[{"raw_affiliation_string":"Inria, Rennes, France","institution_ids":["https://openalex.org/I4210133778"]},{"raw_affiliation_string":"[Centre Rennes Bretagne Atlantique, INRIA, Rennes, France]","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033807512","display_name":"Charles Kervrann","orcid":"https://orcid.org/0000-0001-6263-0452"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Charles Kervrann","raw_affiliation_strings":["Inria, Rennes, France","[Centre Rennes Bretagne Atlantique, INRIA, Rennes, France]"],"affiliations":[{"raw_affiliation_string":"Inria, Rennes, France","institution_ids":["https://openalex.org/I4210133778"]},{"raw_affiliation_string":"[Centre Rennes Bretagne Atlantique, INRIA, Rennes, France]","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"],"apc_list":null,"apc_paid":null,"fwci":0.4982,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77717227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"282","last_page":"287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9965000152587891,"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/affine-transformation","display_name":"Affine transformation","score":0.820066511631012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7478017807006836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961439251899719},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6768608689308167},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6515073180198669},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5721431970596313},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.5701263546943665},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5517758727073669},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.49275949597358704},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4708924889564514},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.45012688636779785},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.44354182481765747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3916351795196533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3346503973007202},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26727014780044556}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.820066511631012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7478017807006836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961439251899719},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6768608689308167},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6515073180198669},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5721431970596313},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.5701263546943665},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5517758727073669},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.49275949597358704},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4708924889564514},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.45012688636779785},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.44354182481765747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3916351795196533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3346503973007202},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26727014780044556},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/avss.2013.6636653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2013.6636653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00921786v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-00921786","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"AVSS - 10th IEEE International Conference on Advanced Video and Signal Based Surveillance - 2013, Aug 2013, Krak\u00f2w, Poland. pp.282-287, ⟨10.1109/AVSS.2013.6636653⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W47624021","https://openalex.org/W2006719702","https://openalex.org/W2007068391","https://openalex.org/W2011128100","https://openalex.org/W2040395913","https://openalex.org/W2065994824","https://openalex.org/W2067202093","https://openalex.org/W2080172043","https://openalex.org/W2085669808","https://openalex.org/W2098984471","https://openalex.org/W2117480478","https://openalex.org/W2125105611","https://openalex.org/W2164047143","https://openalex.org/W2165609887","https://openalex.org/W2300915777","https://openalex.org/W2532363096","https://openalex.org/W4253999777","https://openalex.org/W6601945223","https://openalex.org/W6683943757","https://openalex.org/W6698069792"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2053820737","https://openalex.org/W2120943489","https://openalex.org/W1484667368","https://openalex.org/W1988727984","https://openalex.org/W2130582613","https://openalex.org/W2020088946","https://openalex.org/W2026674073","https://openalex.org/W2157486817","https://openalex.org/W1541334882"],"abstract_inverted_index":{"Recognizing":[0],"dynamic":[1],"behaviors":[2],"of":[3,9,55,70,94,99,102,109,113,129,156],"dense":[4],"crowds":[5],"in":[6,12,89,154],"videos":[7],"is":[8,148,152,173],"great":[10],"interest":[11],"many":[13],"surveillance":[14],"applications.":[15],"In":[16],"contrast":[17],"to":[18,122],"most":[19],"existing":[20],"methods":[21],"which":[22],"are":[23],"based":[24],"on":[25,40,64,67,162],"trajectories":[26],"or":[27],"tracklets,":[28],"our":[29,171],"approach":[30],"for":[31],"crowd":[32,37,131],"motion":[33,38,51,74,103,116,132],"analysis":[34],"provides":[35],"a":[36,41,100,107,123,138],"classification":[39,61,140],"frame-by-frame":[42],"and":[43,76,151,158,165,175],"pixel-wise":[44],"basis.":[45],"Indeed,":[46],"we":[47],"only":[48],"compute":[49],"affine":[50,73],"models":[52],"from":[53],"pairs":[54],"two":[56],"consecutive":[57],"video":[58,167],"images.":[59],"The":[60,85,146],"itself":[62],"relies":[63],"simple":[65],"rules":[66],"the":[68,71,114,130],"coefficients":[69],"computed":[72],"models,":[75],"therefore":[77],"does":[78],"not":[79],"imply":[80],"any":[81],"prior":[82],"learning":[83],"stage.":[84],"overall":[86],"method":[87,172],"proceeds":[88],"four":[90],"steps:":[91],"(i)":[92],"detection":[93],"moving":[95],"points,":[96],"(ii)":[97],"computation":[98,159],"set":[101],"model":[104,117],"candidates":[105],"over":[106],"collection":[108],"windows,":[110],"(iii)":[111],"selection":[112],"best":[115],"at":[118,134],"each":[119,135],"point":[120],"owing":[121],"maximum":[124],"likelihood":[125],"criterion,":[126],"(iv)":[127],"determination":[128],"class":[133],"pixel":[136],"with":[137],"hierarchical":[139],"tree":[141],"regularized":[142],"by":[143],"majority":[144],"votes.":[145],"algorithm":[147],"almost":[149],"parameter-free,":[150],"efficient":[153],"terms":[155],"memory":[157],"load.":[160],"Experiments":[161],"computer-generated":[163],"sequences":[164,168],"real":[166],"demonstrate":[169],"that":[170],"accurate,":[174],"can":[176],"successfully":[177],"handle":[178],"complex":[179],"situations.":[180]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}