{"id":"https://openalex.org/W2140387805","doi":"https://doi.org/10.1109/cvpr.2008.4587539","title":"Homography based multiple camera detection and tracking of people in a dense crowd","display_name":"Homography based multiple camera detection and tracking of people in a dense crowd","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2140387805","doi":"https://doi.org/10.1109/cvpr.2008.4587539","mag":"2140387805"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5084673974","display_name":"Ran Eshel","orcid":null},"institutions":[{"id":"https://openalex.org/I138898306","display_name":"Reichman University","ror":"https://ror.org/01px5cv07","country_code":"IL","type":"education","lineage":["https://openalex.org/I138898306"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ran Eshel","raw_affiliation_strings":["Efi Arazi School of Computer Science, Herzliya, Israel","Interdiscipl. Center, Efi Arazi Sch. of Comput. Sci., Herzliya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Efi Arazi School of Computer Science, Herzliya, Israel","institution_ids":[]},{"raw_affiliation_string":"Interdiscipl. Center, Efi Arazi Sch. of Comput. Sci., Herzliya","institution_ids":["https://openalex.org/I138898306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102320227","display_name":"Yael Moses","orcid":null},"institutions":[{"id":"https://openalex.org/I138898306","display_name":"Reichman University","ror":"https://ror.org/01px5cv07","country_code":"IL","type":"education","lineage":["https://openalex.org/I138898306"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yael Moses","raw_affiliation_strings":["Efi Arazi School of Computer Science, Herzliya, Israel","Interdiscipl. Center, Efi Arazi Sch. of Comput. Sci., Herzliya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Efi Arazi School of Computer Science, Herzliya, Israel","institution_ids":[]},{"raw_affiliation_string":"Interdiscipl. Center, Efi Arazi Sch. of Comput. Sci., Herzliya","institution_ids":["https://openalex.org/I138898306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.4901,"has_fulltext":false,"cited_by_count":182,"citation_normalized_percentile":{"value":0.9907592,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"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":0.9998999834060669,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10812","display_name":"Human Pose and Action Recognition","score":0.9932000041007996,"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-vision","display_name":"Computer vision","score":0.8435299396514893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8257138133049011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.736535906791687},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6807310581207275},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6706678867340088},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.5562748312950134},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4747253656387329},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4602438807487488},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.4279245138168335},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4224597215652466},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.4192206561565399},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17431077361106873}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8435299396514893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8257138133049011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736535906791687},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6807310581207275},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6706678867340088},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.5562748312950134},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4747253656387329},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4602438807487488},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.4279245138168335},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4224597215652466},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.4192206561565399},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17431077361106873},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2008.4587539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.470.5104","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.470.5104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.faculty.idc.ac.il/moses/papers/CVPR08-EshelMoses.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.566.8804","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.566.8804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.idc.ac.il/publications/files/382.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5699999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W167428292","https://openalex.org/W1539154803","https://openalex.org/W1785942045","https://openalex.org/W1976490193","https://openalex.org/W1980468130","https://openalex.org/W1987118352","https://openalex.org/W1992825118","https://openalex.org/W1995903777","https://openalex.org/W2058586075","https://openalex.org/W2061716749","https://openalex.org/W2081140080","https://openalex.org/W2089181482","https://openalex.org/W2096229530","https://openalex.org/W2096349671","https://openalex.org/W2098669323","https://openalex.org/W2102858470","https://openalex.org/W2111804516","https://openalex.org/W2113056476","https://openalex.org/W2113815908","https://openalex.org/W2113856781","https://openalex.org/W2117007522","https://openalex.org/W2117082318","https://openalex.org/W2118605474","https://openalex.org/W2122190623","https://openalex.org/W2129814234","https://openalex.org/W2135523462","https://openalex.org/W2137897669","https://openalex.org/W2138779956","https://openalex.org/W2139593995","https://openalex.org/W2141251974","https://openalex.org/W2142645932","https://openalex.org/W2150593711","https://openalex.org/W2155072155","https://openalex.org/W2158634074","https://openalex.org/W2161406034","https://openalex.org/W2161841955","https://openalex.org/W2161969291","https://openalex.org/W2165715280","https://openalex.org/W2165742335","https://openalex.org/W2168523658","https://openalex.org/W2168894448","https://openalex.org/W2169022118","https://openalex.org/W2571050459","https://openalex.org/W3022352042","https://openalex.org/W6632268950","https://openalex.org/W6677122694","https://openalex.org/W6677663688","https://openalex.org/W6680625862","https://openalex.org/W6683191574"],"related_works":["https://openalex.org/W4313151434","https://openalex.org/W2050662190","https://openalex.org/W4281846896","https://openalex.org/W1673651863","https://openalex.org/W3132103682","https://openalex.org/W2919954508","https://openalex.org/W2158788032","https://openalex.org/W4390984082","https://openalex.org/W207348591","https://openalex.org/W2063298784"],"abstract_inverted_index":{"Tracking":[0],"people":[1,38,163,170],"in":[2,39,146,158,165,177],"a":[3,7,11,31,40,45,62,166],"dense":[4],"crowd":[5],"is":[6,73,93],"challenging":[8,152],"problem":[9],"for":[10,33,97],"single":[12],"camera":[13],"tracker":[14],"due":[15],"to":[16,118,161],"occlusions":[17],"and":[18,65,95,138,148,181],"extensive":[19],"motion":[20,136],"that":[21],"make":[22],"human":[23],"segmentation":[24],"difficult.":[25],"In":[26],"this":[27],"paper":[28],"we":[29],"suggest":[30],"method":[32,141],"simultaneously":[34],"tracking":[35,159],"all":[36],"the":[37,57,122],"densely":[41],"crowded":[42],"scene":[43],"using":[44,132],"set":[46],"of":[47,52,82,179],"cameras":[48,58],"with":[49],"overlapping":[50],"fields":[51],"view.":[53],"To":[54],"overcome":[55],"occlusions,":[56],"are":[59,69,104,112,129],"placed":[60],"at":[61,109],"high":[63],"elevation":[64],"only":[66],"peoplepsilas":[67],"heads":[68],"tracked.":[70],"Head":[71],"detection":[72],"still":[74],"difficult":[75],"since":[76],"each":[77],"foreground":[78],"region":[79],"may":[80],"consist":[81],"multiple":[83],"subjects.":[84],"By":[85],"combining":[86],"data":[87],"from":[88,121],"several":[89],"views,":[90],"height":[91],"information":[92],"extracted":[94],"used":[96],"head":[98,101,127],"segmentation.":[99],"The":[100,125,140],"tops,":[102],"which":[103],"regarded":[105],"as":[106],"2D":[107],"patches":[108],"various":[110],"heights,":[111],"detected":[113,126],"by":[114],"applying":[115],"intensity":[116],"correlation":[117],"aligned":[119],"frames":[120],"different":[123],"cameras.":[124],"tops":[128],"then":[130],"tracked":[131],"common":[133],"assumptions":[134],"on":[135,144],"direction":[137],"velocity.":[139],"was":[142,156],"tested":[143],"sequences":[145],"indoor":[147],"outdoor":[149],"environments":[150],"under":[151],"illumination":[153],"conditions.":[154],"It":[155],"successful":[157],"up":[160],"21":[162],"walking":[164],"small":[167],"area":[168],"(2.5":[169],"per":[171],"m":[172],"<sup":[173],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[175],"),":[176],"spite":[178],"severe":[180],"persistent":[182],"occlusions.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":18},{"year":2012,"cited_by_count":22}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
