{"id":"https://openalex.org/W4402981416","doi":"https://doi.org/10.1109/icme57554.2024.10688080","title":"DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes","display_name":"DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402981416","doi":"https://doi.org/10.1109/icme57554.2024.10688080"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688080","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100568025","display_name":"Yunqi Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunqi Zhao","raw_affiliation_strings":["Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720838","display_name":"Yuchen Guo","orcid":"https://orcid.org/0000-0003-2536-1358"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Guo","raw_affiliation_strings":["Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029024939","display_name":"Zheng Cao","orcid":"https://orcid.org/0000-0002-1565-3683"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng Cao","raw_affiliation_strings":["Biren Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Biren Technology,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075633314","display_name":"Kai Ni","orcid":"https://orcid.org/0000-0002-3628-3431"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kai Ni","raw_affiliation_strings":["HoloMatic Technology Co., Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"HoloMatic Technology Co., Ltd.,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086379651","display_name":"Ruqi Huang","orcid":"https://orcid.org/0000-0001-5942-3671"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruqi Huang","raw_affiliation_strings":["Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039161616","display_name":"Lu Fang","orcid":"https://orcid.org/0000-0002-8258-784X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Fang","raw_affiliation_strings":["Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100568025"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1670229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9563000202178955,"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":0.9563000202178955,"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":0.6446584463119507},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6266223192214966},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5368723273277283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3728858232498169},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3325440585613251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446584463119507},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6266223192214966},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5368723273277283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3728858232498169},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3325440585613251},{"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":2,"locations":[{"id":"doi:10.1109/icme57554.2024.10688080","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-160918","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-160918","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Tracking":[0],"in":[1,8,20,43,62],"gigapixel":[2,44,59,121],"scenarios":[3],"holds":[4],"numerous":[5],"potential":[6],"applications":[7],"video":[9],"surveillance":[10],"and":[11,40,81,98],"pedestrian":[12],"analysis.":[13],"Existing":[14],"algorithms":[15],"attempt":[16],"to":[17,57,76],"perform":[18],"tracking":[19,54,60,116],"crowded":[21,63,122],"scenes":[22],"by":[23],"utilizing":[24],"multiple":[25],"cameras":[26],"or":[27],"group":[28],"relationships.":[29],"However,":[30],"their":[31],"performance":[32,112],"significantly":[33],"degrades":[34],"when":[35],"confronted":[36],"with":[37],"complex":[38],"interaction":[39],"occlusion":[41],"inherent":[42],"images.":[45],"In":[46,65],"this":[47],"paper,":[48],"we":[49,67,88],"introduce":[50],"DynamicTrack,":[51],"a":[52,69,90],"dynamic":[53,70,91],"framework":[55],"designed":[56,119],"address":[58],"challenges":[61],"scenes.":[64,123],"particular,":[66],"propose":[68],"detector":[71],"that":[72,94,107],"utilizes":[73,96],"contrastive":[74],"learning":[75],"jointly":[77],"detect":[78],"the":[79],"head":[80,97],"body":[82,99],"of":[83],"pedestrians.":[84],"Building":[85],"upon":[86],"this,":[87],"design":[89],"association":[92],"algorithm":[93],"effectively":[95],"information":[100],"for":[101,120],"matching":[102],"purposes.":[103],"Extensive":[104],"experiments":[105],"show":[106],"our":[108],"tracker":[109],"achieves":[110],"state-of-the-art":[111],"on":[113],"widely":[114],"used":[115],"benchmarks":[117],"specifically":[118]},"counts_by_year":[],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
