{"id":"https://openalex.org/W4414170596","doi":"https://doi.org/10.1109/avss65446.2025.11149971","title":"Utilizing Category-Specific Re-Identification Models in Drone-Based Multi-Class Multi-Object Tracking","display_name":"Utilizing Category-Specific Re-Identification Models in Drone-Based Multi-Class Multi-Object Tracking","publication_year":2025,"publication_date":"2025-08-11","ids":{"openalex":"https://openalex.org/W4414170596","doi":"https://doi.org/10.1109/avss65446.2025.11149971"},"language":"en","primary_location":{"id":"doi:10.1109/avss65446.2025.11149971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss65446.2025.11149971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040394806","display_name":"Daniel Stadler","orcid":"https://orcid.org/0000-0003-2467-3149"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daniel Stadler","raw_affiliation_strings":["Fraunhofer IOSB Fraunhofer Center for Machine Learning"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IOSB Fraunhofer Center for Machine Learning","institution_ids":["https://openalex.org/I4210111500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040394806"],"corresponding_institution_ids":["https://openalex.org/I4210111500"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.9991999864578247,"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":0.9991999864578247,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/tracking","display_name":"Tracking (education)","score":0.5989999771118164},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5733000040054321},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.42260000109672546},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.3790999948978424},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.3671000003814697},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.32260000705718994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7207000255584717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.680400013923645},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5989999771118164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5974000096321106},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5733000040054321},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.42260000109672546},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.3790999948978424},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.3671000003814697},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C2779714256","wikidata":"https://www.wikidata.org/wiki/Q25305062","display_name":"Multiple Models","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.2646999955177307},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/avss65446.2025.11149971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss65446.2025.11149971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/497265","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/497265","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2124781496","https://openalex.org/W2511791013","https://openalex.org/W2603203130","https://openalex.org/W2798799804","https://openalex.org/W2984145721","https://openalex.org/W3086436251","https://openalex.org/W3104778224","https://openalex.org/W3106763294","https://openalex.org/W3118806306","https://openalex.org/W4283748233","https://openalex.org/W4285357233","https://openalex.org/W4286904999","https://openalex.org/W4311726887","https://openalex.org/W4319866011","https://openalex.org/W4385804909","https://openalex.org/W4387968137","https://openalex.org/W4390608348","https://openalex.org/W4390874150","https://openalex.org/W4394673315","https://openalex.org/W4407403799","https://openalex.org/W4407783480","https://openalex.org/W4412346702"],"related_works":[],"abstract_inverted_index":{"Tracking":[0],"multiple":[1],"objects":[2],"is":[3,91,123],"of":[4,13,21,35,71,98,113,120],"high":[5],"importance":[6],"for":[7,25,53],"many":[8],"applications":[9],"in":[10,30,39,136],"the":[11,19,33,59,69,89,96,99,110,121],"field":[12],"automated":[14],"driving":[15],"or":[16],"surveillance.":[17],"Despite":[18],"success":[20],"re-identification":[22],"(ReID)":[23],"models":[24,38,65],"extracting":[26],"distinctive":[27],"appearance":[28],"features":[29],"multi-person":[31],"tracking,":[32],"use":[34],"category-specific":[36],"ReID":[37,51,64,79],"a":[40,81,116,133],"multi-class":[41],"tracker":[42,122],"has":[43],"not":[44],"yet":[45],"been":[46],"explored.":[47],"In":[48],"this":[49],"work,":[50],"datasets":[52],"several":[54],"classes":[55],"are":[56,66],"constructed":[57],"from":[58,88],"VisDrone":[60],"dataset,":[61],"and":[62],"specialized":[63],"trained":[67],"on":[68,101],"combination":[70],"categories":[72],"with":[73,85],"similar":[74],"appearance.":[75],"Next":[76],"to":[77],"these":[78],"models,":[80],"sophisticated":[82],"tracking":[83],"framework":[84],"established":[86],"components":[87],"literature":[90],"built,":[92],"which":[93,125],"greatly":[94],"surpasses":[95],"state":[97],"art":[100],"VisDrone-MOT":[102],"test-dev":[103],"(+5.0":[104],"MOTA,":[105],"+5.2":[106],"IDF1).":[107],"To":[108],"meet":[109],"runtime":[111],"requirements":[112],"practical":[114],"applications,":[115],"more":[117],"efficient":[118],"variant":[119],"suggested,":[124],"runs":[126],"at":[127],"20":[128],"frames":[129],"per":[130],"second":[131],"without":[132],"significant":[134],"loss":[135],"accuracy.":[137]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
