{"id":"https://openalex.org/W2359382783","doi":"https://doi.org/10.1109/tcsvt.2016.2565998","title":"Group Structure Preserving Pedestrian Tracking in a Multi-Camera Video Network","display_name":"Group Structure Preserving Pedestrian Tracking in a Multi-Camera Video Network","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2359382783","doi":"https://doi.org/10.1109/tcsvt.2016.2565998","mag":"2359382783"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2016.2565998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2565998","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5110164762","display_name":"Zhixing Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhixing Jin","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA","[Dept. of Comput. Sci. & Eng., Univ. of California Riverside, Riverside, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Eng., Univ. of California Riverside, Riverside, CA, USA]","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101435334","display_name":"Le An","orcid":"https://orcid.org/0000-0001-7677-6006"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le An","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China","[National Key Laboratory of Science & Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China]"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"[National Key Laboratory of Science & Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China]","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071522801","display_name":"Bir Bhanu","orcid":"https://orcid.org/0000-0001-8971-6416"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bir Bhanu","raw_affiliation_strings":["Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110164762"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":0.5068,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.71572584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965999722480774,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9940000176429749,"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":0.7525184154510498},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7285140752792358},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7271501421928406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6966278553009033},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6231204867362976},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6191375851631165},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.47500526905059814},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.22770234942436218},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09368640184402466}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7525184154510498},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7285140752792358},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7271501421928406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6966278553009033},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6231204867362976},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6191375851631165},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.47500526905059814},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.22770234942436218},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09368640184402466},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tcsvt.2016.2565998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2565998","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt3rv91303","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/3rv91303","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt9w2556kz","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/9w2556kz","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, vol 27, iss 10","raw_type":"article"},{"id":"pmh:qt9w2556kz","is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/9w2556kz","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jin, Z; An, L; & Bhanu, B. (2017). Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 27(10), 2165 - 2176. doi: 10.1109/TCSVT.2016.2565998. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/9w2556kz","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"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":32,"referenced_works":["https://openalex.org/W110577773","https://openalex.org/W1700817456","https://openalex.org/W1968381457","https://openalex.org/W2014854862","https://openalex.org/W2049457635","https://openalex.org/W2056310403","https://openalex.org/W2061773916","https://openalex.org/W2074553446","https://openalex.org/W2080370730","https://openalex.org/W2084304108","https://openalex.org/W2089584121","https://openalex.org/W2098941887","https://openalex.org/W2103203265","https://openalex.org/W2109579504","https://openalex.org/W2121091546","https://openalex.org/W2124781496","https://openalex.org/W2138302688","https://openalex.org/W2146183743","https://openalex.org/W2148958980","https://openalex.org/W2153635508","https://openalex.org/W2154330368","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2168523658","https://openalex.org/W2170865122","https://openalex.org/W2261888553","https://openalex.org/W2326772079","https://openalex.org/W2345235285","https://openalex.org/W2547645678","https://openalex.org/W6678298392","https://openalex.org/W6704652032","https://openalex.org/W6729704513"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W4389065903","https://openalex.org/W2158788032","https://openalex.org/W2385949326","https://openalex.org/W1966005655","https://openalex.org/W3135795035","https://openalex.org/W2789220062","https://openalex.org/W2094665863","https://openalex.org/W2534746541"],"abstract_inverted_index":{"Pedestrian":[0],"tracking":[1,18,51,139],"in":[2,39,61,138],"video":[3],"has":[4],"been":[5,23],"a":[6,47,68,144],"popular":[7,37],"research":[8],"topic":[9],"with":[10],"many":[11,20],"practical":[12],"applications.":[13],"In":[14,42,64],"order":[15],"to":[16,107,116],"improve":[17],"performance,":[19],"ideas":[21],"have":[22],"proposed,":[24,73],"among":[25],"which":[26,53,74],"the":[27,35,55,62,76,79,87,91,100,109,117,136],"use":[28],"of":[29,34,58,78],"geometric":[30],"information":[31,57,81],"is":[32,72,105,141,147],"one":[33],"most":[36,118],"directions":[38],"recent":[40,119],"research.":[41],"this":[43,65],"paper,":[44],"we":[45],"propose":[46],"novel":[48],"multicamera":[49],"pedestrian":[50,59,114],"framework,":[52,66],"incorporates":[54],"structural":[56],"groups":[60],"crowd.":[63],"first,":[67],"new":[69],"cross-camera":[70,110],"model":[71,111],"enables":[75],"fusion":[77],"confidence":[80],"from":[82],"all":[83],"camera":[84],"views.":[85],"Second,":[86],"group":[88,145],"structures":[89],"on":[90,129],"ground":[92],"plane":[93],"provide":[94],"extra":[95],"constraints":[96],"between":[97],"pedestrians.":[98],"Third,":[99],"structured":[101],"support":[102],"vector":[103],"machine":[104],"adopted":[106],"update":[108],"for":[112],"each":[113],"according":[115],"tracked":[120],"location.":[121],"The":[122,132],"experiments":[123],"and":[124],"detailed":[125],"analysis":[126],"are":[127],"conducted":[128],"challenging":[130],"data.":[131],"results":[133],"demonstrate":[134],"that":[135],"improvement":[137],"performance":[140],"significant":[142],"when":[143],"structure":[146],"integrated.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}