{"id":"https://openalex.org/W4403792130","doi":"https://doi.org/10.1145/3664647.3680617","title":"DenseTrack: Drone-Based Crowd Tracking via Density-Aware Motion-Appearance Synergy","display_name":"DenseTrack: Drone-Based Crowd Tracking via Density-Aware Motion-Appearance Synergy","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403792130","doi":"https://doi.org/10.1145/3664647.3680617"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ink.library.smu.edu.sg/sis_research/9766","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114038768","display_name":"Yi Lei","orcid":"https://orcid.org/0009-0005-6879-2336"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Lei","raw_affiliation_strings":["Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0005-6879-2336","affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022322522","display_name":"Huilin Zhu","orcid":"https://orcid.org/0000-0003-1607-7283"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Huilin Zhu","raw_affiliation_strings":["Wuhan University of Technology & Singapore Management University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1607-7283","affiliations":[{"raw_affiliation_string":"Wuhan University of Technology & Singapore Management University, Wuhan, China","institution_ids":["https://openalex.org/I196699116","https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062853168","display_name":"Jingling Yuan","orcid":"https://orcid.org/0000-0001-7924-8620"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingling Yuan","raw_affiliation_strings":["Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7924-8620","affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004457967","display_name":"Guangli Xiang","orcid":"https://orcid.org/0000-0002-6885-6265"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangli Xiang","raw_affiliation_strings":["Wuhan University of Technology & Hubei Key Laboratory of Digital Finance Innovation, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6885-6265","affiliations":[{"raw_affiliation_string":"Wuhan University of Technology & Hubei Key Laboratory of Digital Finance Innovation, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064738683","display_name":"Xian Zhong","orcid":"https://orcid.org/0000-0002-5242-0467"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Zhong","raw_affiliation_strings":["Wuhan University of Technology & Nanyang Technological University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5242-0467","affiliations":[{"raw_affiliation_string":"Wuhan University of Technology & Nanyang Technological University, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056103024","display_name":"Shengfeng He","orcid":"https://orcid.org/0000-0002-3802-4644"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shengfeng He","raw_affiliation_strings":["Singapore Management University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-3802-4644","affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore, Singapore","institution_ids":["https://openalex.org/I79891267"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2050","last_page":"2058"},"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":0.9901999831199646,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/drone","display_name":"Drone","score":0.9303815960884094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6818540096282959},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6406916379928589},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5893752574920654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5615066885948181},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5466206669807434}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.9303815960884094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6818540096282959},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6406916379928589},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5893752574920654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5615066885948181},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5466206669807434},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3664647.3680617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-10766","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/9766","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1145/3664647.3680617","raw_type":"Conference Proceeding Article"}],"best_oa_location":{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-10766","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/9766","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1145/3664647.3680617","raw_type":"Conference Proceeding Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1003853626","https://openalex.org/W2038621822","https://openalex.org/W2106956504","https://openalex.org/W2123534796","https://openalex.org/W2252355370","https://openalex.org/W2463631526","https://openalex.org/W2603203130","https://openalex.org/W2771877920","https://openalex.org/W2903106696","https://openalex.org/W2953920664","https://openalex.org/W2963767186","https://openalex.org/W2964209782","https://openalex.org/W2967069910","https://openalex.org/W3015197867","https://openalex.org/W3034233786","https://openalex.org/W3043157863","https://openalex.org/W3043370775","https://openalex.org/W3089351764","https://openalex.org/W3104218139","https://openalex.org/W3110700482","https://openalex.org/W3117941406","https://openalex.org/W3118212025","https://openalex.org/W3166543103","https://openalex.org/W3170294192","https://openalex.org/W3173209770","https://openalex.org/W3175126800","https://openalex.org/W3175557814","https://openalex.org/W3210371470","https://openalex.org/W4225264236","https://openalex.org/W4282938418","https://openalex.org/W4286904999","https://openalex.org/W4294310792","https://openalex.org/W4312356418","https://openalex.org/W4312689495","https://openalex.org/W4319300100","https://openalex.org/W4319866011","https://openalex.org/W4385774762","https://openalex.org/W4386075559","https://openalex.org/W4386076204","https://openalex.org/W4386590375","https://openalex.org/W4387967948","https://openalex.org/W4390874237"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","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":{"Drone-based":[0],"crowd":[1,47,82],"tracking":[2,62,76,105,113],"faces":[3],"difficulties":[4],"in":[5,162],"accurately":[6],"identifying":[7],"and":[8,21,31,56,78,100],"monitoring":[9],"objects":[10,123],"from":[11,103,126],"an":[12],"aerial":[13],"perspective,":[14],"largely":[15],"due":[16],"to":[17,24,49,59,74,120,141],"their":[18],"small":[19],"size":[20],"close":[22],"proximity":[23],"each":[25],"other,":[26],"which":[27],"complicates":[28],"both":[29],"localization":[30,90],"tracking.":[32],"To":[33],"address":[34],"these":[35],"challenges,":[36],"we":[37],"present":[38],"the":[39,61,69,104,118,127,138,143],"Density-aware":[40],"Tracking":[41],"(DenseTrack)":[42],"framework.":[43],"DenseTrack":[44,80,116],"capitalizes":[45],"on":[46,151],"counting":[48],"precisely":[50],"determine":[51],"object":[52,89],"locations,":[53],"blending":[54],"visual":[55],"motion":[57,73,99,108,133],"cues":[58],"improve":[60],"of":[63,71,146],"small-scale":[64,122],"objects.":[65],"It":[66],"specifically":[67],"addresses":[68],"problem":[70],"cross-frame":[72],"enhance":[75],"accuracy":[77],"dependability.":[79],"employs":[81],"density":[83],"estimates":[84,95],"as":[85,111],"anchors":[86],"for":[87],"exact":[88],"within":[91],"video":[92],"frames.":[93,149],"These":[94],"are":[96],"merged":[97],"with":[98,107,132],"position":[101],"information":[102],"network,":[106],"offsets":[109],"serving":[110],"key":[112],"cues.":[114,134],"Moreover,":[115],"enhances":[117],"ability":[119],"distinguish":[121],"using":[124],"insights":[125],"visual-language":[128],"model,":[129],"integrating":[130],"appearance":[131],"The":[135],"framework":[136],"utilizes":[137],"Hungarian":[139],"algorithm":[140],"ensure":[142],"accurate":[144],"matching":[145],"individuals":[147],"across":[148],"Demonstrated":[150],"DroneCrowd":[152],"dataset,":[153],"our":[154],"approach":[155],"exhibits":[156],"superior":[157],"performance,":[158],"confirming":[159],"its":[160],"effectiveness":[161],"scenarios":[163],"captured":[164],"by":[165],"drones.":[166],"Our":[167],"code":[168],"will":[169],"be":[170],"available":[171],"at:":[172],"https://github.com/Zebrabeast/DenseTrack.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}