{"id":"https://openalex.org/W2121091546","doi":"https://doi.org/10.1109/cvpr.2012.6247879","title":"Part-based multiple-person tracking with partial occlusion handling","display_name":"Part-based multiple-person tracking with partial occlusion handling","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2121091546","doi":"https://doi.org/10.1109/cvpr.2012.6247879","mag":"2121091546"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2010/4624","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045207101","display_name":"Guang Shu","orcid":"https://orcid.org/0000-0002-3062-3132"},"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":"Guang Shu","raw_affiliation_strings":["Computer Vision Laboratory, University of Central Florida, USA","Computer Vision Lab, University of Central Florida#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, University of Central Florida, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Computer Vision Lab, University of Central Florida#TAB#","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048843303","display_name":"Ali Dehghan","orcid":"https://orcid.org/0000-0001-9291-6419"},"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":"A. Dehghan","raw_affiliation_strings":["Computer Vision Laboratory, University of Central Florida, USA","Computer Vision Lab, University of Central Florida#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, University of Central Florida, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Computer Vision Lab, University of Central Florida#TAB#","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047906325","display_name":"Omar Oreifej","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. Oreifej","raw_affiliation_strings":["Computer Vision Laboratory, University of Central Florida, USA","Computer Vision Lab, University of Central Florida#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, University of Central Florida, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Computer Vision Lab, University of Central Florida#TAB#","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069699813","display_name":"Emily Hand","orcid":"https://orcid.org/0000-0002-6990-2833"},"institutions":[{"id":"https://openalex.org/I4210110994","display_name":"City Vision University","ror":"https://ror.org/01x7teq58","country_code":"US","type":"education","lineage":["https://openalex.org/I4210110994"]},{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E. Hand","raw_affiliation_strings":["Computer Vision Laboratory, University of Nevada,\uc2a0Reno, USA","Computer Vision Lab, University of Nevada, Reno"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, University of Nevada,\uc2a0Reno, USA","institution_ids":["https://openalex.org/I4210110994"]},{"raw_affiliation_string":"Computer Vision Lab, University of Nevada, Reno","institution_ids":["https://openalex.org/I134113660"]}]},{"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":["Computer Vision Laboratory, University of Central Florida, USA","Computer Vision Lab, University of Central Florida#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, University of Central Florida, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Computer Vision Lab, University of Central Florida#TAB#","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045207101"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":29.9768,"has_fulltext":false,"cited_by_count":323,"citation_normalized_percentile":{"value":0.99763654,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1815","last_page":"1821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9970999956130981,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8079850673675537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7837790250778198},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6713813543319702},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6361944079399109},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6279995441436768},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5250139832496643},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45251089334487915},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.42659080028533936},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21739009022712708}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8079850673675537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7837790250778198},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6713813543319702},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6361944079399109},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6279995441436768},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5250139832496643},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45251089334487915},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.42659080028533936},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21739009022712708},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2012.6247879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2010-5623","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2010/4624","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 2010-2014","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.259.8965","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.8965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.ucf.edu/%7Eoreifej/papers/HumanTracking.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2010-5623","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2010/4624","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 2010-2014","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4300000071525574,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338354","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1571268436","https://openalex.org/W1618905105","https://openalex.org/W1966136723","https://openalex.org/W1987118352","https://openalex.org/W2000326692","https://openalex.org/W2023640470","https://openalex.org/W2047286693","https://openalex.org/W2053181242","https://openalex.org/W2061773916","https://openalex.org/W2102204314","https://openalex.org/W2111644456","https://openalex.org/W2130103520","https://openalex.org/W2132103241","https://openalex.org/W2132200263","https://openalex.org/W2141822239","https://openalex.org/W2146183743","https://openalex.org/W2147221461","https://openalex.org/W2147533695","https://openalex.org/W2150000644","https://openalex.org/W2167089254","https://openalex.org/W2168356304","https://openalex.org/W2293873019","https://openalex.org/W2543696449","https://openalex.org/W2548197316","https://openalex.org/W4231340930","https://openalex.org/W6634116786","https://openalex.org/W6636501900","https://openalex.org/W6676780830","https://openalex.org/W6679388247","https://openalex.org/W6681951102","https://openalex.org/W6684274140","https://openalex.org/W6697105079"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2084086966","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W2002136628","https://openalex.org/W2166802793","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789"],"abstract_inverted_index":{"Single":[0],"camera-based":[1],"multiple-person":[2],"tracking":[3,43,88,117],"is":[4,76],"often":[5],"hindered":[6],"by":[7,23,123],"difficulties":[8],"such":[9,21],"as":[10],"occlusion":[11],"and":[12,68,86,141,145],"changes":[13],"in":[14,42,64,82,112,168],"appearance.":[15],"In":[16,90,115],"this":[17],"paper,":[18],"we":[19,94,119],"address":[20],"problems":[22],"proposing":[24],"a":[25],"robust":[26],"part-based":[27,52,72],"tracking-by-detection":[28],"framework.":[29],"Human":[30],"detection":[31,85,92,110],"using":[32,157],"part":[33],"models":[34],"has":[35,44],"become":[36],"quite":[37],"popular,":[38],"yet":[39],"its":[40,133],"extension":[41],"not":[45],"been":[46],"fully":[47],"explored.":[48],"Our":[49],"approach":[50,75],"learns":[51],"person-specific":[53],"SVM":[54],"classifiers":[55,151],"which":[56,100,106,136],"capture":[57],"the":[58,61,71,84,87,91,96,102,109,116,125,128,147,150,158],"articulations":[59],"of":[60,98,104,127,149],"human":[62],"bodies":[63],"dynamically":[65,120],"changing":[66],"appearance":[67],"background.":[69],"With":[70],"model,":[73],"our":[74],"able":[77],"to":[78,139],"handle":[79,121],"partial":[80,143],"occlusions":[81,122],"both":[83],"stages.":[89],"stage,":[93,118],"select":[95],"subset":[97],"parts":[99],"maximizes":[101],"probability":[103],"detection,":[105],"significantly":[107],"improves":[108],"performance":[111,148,167],"crowded":[113],"scenes.":[114],"distributing":[124],"score":[126],"learned":[129],"person":[130],"classifier":[131],"among":[132],"corresponding":[134],"parts,":[135],"allows":[137],"us":[138],"detect":[140],"predict":[142],"occlusions,":[144],"prevent":[146],"from":[152],"being":[153],"degraded.":[154],"Extensive":[155],"experiments":[156],"proposed":[159],"method":[160],"on":[161],"several":[162],"challenging":[163],"sequences":[164],"demonstrate":[165],"state-of-the-art":[166],"multiple-people":[169],"tracking.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":35},{"year":2017,"cited_by_count":38},{"year":2016,"cited_by_count":43},{"year":2015,"cited_by_count":42},{"year":2014,"cited_by_count":42},{"year":2013,"cited_by_count":22},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
