{"id":"https://openalex.org/W4417257519","doi":"https://doi.org/10.15276/hait.08.2025.30","title":"Unsupervised Re-identification architecture based on segmented tracklets for animal behavior analysis","display_name":"Unsupervised Re-identification architecture based on segmented tracklets for animal behavior analysis","publication_year":2025,"publication_date":"2025-12-11","ids":{"openalex":"https://openalex.org/W4417257519","doi":"https://doi.org/10.15276/hait.08.2025.30"},"language":"en","primary_location":{"id":"doi:10.15276/hait.08.2025.30","doi":"https://doi.org/10.15276/hait.08.2025.30","is_oa":true,"landing_page_url":"https://doi.org/10.15276/hait.08.2025.30","pdf_url":"https://hait.od.ua/index.php/journal/article/download/230/202/1030","source":{"id":"https://openalex.org/S4210233796","display_name":"Herald of Advanced Information Technology","issn_l":"2663-0176","issn":["2663-0176","2663-7731"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Herald of Advanced Information Technology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://hait.od.ua/index.php/journal/article/download/230/202/1030","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Natalia P. Volkova","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I40179345","display_name":"Odes\u0430 Polytechnic National University","ror":"https://ror.org/05xaz0w84","country_code":"UA","type":"education","lineage":["https://openalex.org/I40179345"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Natalia P. Volkova","raw_affiliation_strings":[") Odesa National Polytechnic University , 1, Shevchenko Ave. Odesa , 65044 , Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":") Odesa National Polytechnic University , 1, Shevchenko Ave. Odesa , 65044 , Ukraine","institution_ids":["https://openalex.org/I40179345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059731527","display_name":"Maksym A. Shvandt","orcid":"https://orcid.org/0000-0002-4580-3961","observed_orcids":["https://orcid.org/0000-0002-4580-3961"]},"institutions":[{"id":"https://openalex.org/I40179345","display_name":"Odes\u0430 Polytechnic National University","ror":"https://ror.org/05xaz0w84","country_code":"UA","type":"education","lineage":["https://openalex.org/I40179345"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Maksym A. Shvandt","raw_affiliation_strings":[") Odesa National Polytechnic University , 1, Shevchenko Ave. Odesa , 65044 , Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":") Odesa National Polytechnic University , 1, Shevchenko Ave. Odesa , 65044 , Ukraine","institution_ids":["https://openalex.org/I40179345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I40179345"],"apc_list":null,"apc_paid":null,"fwci":0.2365,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39447106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"8","issue":"4","first_page":"476","last_page":"487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9937000274658203,"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":0.9937000274658203,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.001500000013038516,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/animal-re-identification","display_name":"animal re-identification","score":0.9610000252723694},{"id":"https://openalex.org/keywords/tracklet-association","display_name":"tracklet association","score":0.7820000052452087},{"id":"https://openalex.org/keywords/animal-behavior-analysis","display_name":"animal behavior analysis","score":0.7070000171661377},{"id":"https://openalex.org/keywords/mask-r-cnn","display_name":"Mask R-CNN","score":0.8399999737739563},{"id":"https://openalex.org/keywords/instance-segmentation","display_name":"instance segmentation","score":0.9089999794960022},{"id":"https://openalex.org/keywords/unsupervised-deep-learning","display_name":"unsupervised deep learning","score":0.7590000033378601},{"id":"https://openalex.org/keywords/temporal-feature-aggregation","display_name":"temporal feature aggregation","score":0.44200000166893005},{"id":"https://openalex.org/keywords/mice","display_name":"mice","score":0.4959999918937683},{"id":"https://openalex.org/keywords/fish","display_name":"fish","score":0.847000002861023}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6215000152587891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6043000221252441},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3977000117301941},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.36880001425743103},{"id":"https://openalex.org/C2989277270","wikidata":"https://www.wikidata.org/wiki/Q168338","display_name":"Behavioral analysis","level":2,"score":0.33640000224113464},{"id":"https://openalex.org/C2988419192","wikidata":"https://www.wikidata.org/wiki/Q7155","display_name":"Animal behavior","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2840999960899353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.15276/hait.08.2025.30","doi":"https://doi.org/10.15276/hait.08.2025.30","is_oa":true,"landing_page_url":"https://doi.org/10.15276/hait.08.2025.30","pdf_url":"https://hait.od.ua/index.php/journal/article/download/230/202/1030","source":{"id":"https://openalex.org/S4210233796","display_name":"Herald of Advanced Information Technology","issn_l":"2663-0176","issn":["2663-0176","2663-7731"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Herald of Advanced Information Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.15276/hait.08.2025.30","doi":"https://doi.org/10.15276/hait.08.2025.30","is_oa":true,"landing_page_url":"https://doi.org/10.15276/hait.08.2025.30","pdf_url":"https://hait.od.ua/index.php/journal/article/download/230/202/1030","source":{"id":"https://openalex.org/S4210233796","display_name":"Herald of Advanced Information Technology","issn_l":"2663-0176","issn":["2663-0176","2663-7731"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Herald of Advanced Information Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417257519.pdf","grobid_xml":"https://content.openalex.org/works/W4417257519.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W2062439858","https://openalex.org/W2585006962","https://openalex.org/W2603203130","https://openalex.org/W2891440844","https://openalex.org/W2900128981","https://openalex.org/W2997917485","https://openalex.org/W3007268491","https://openalex.org/W3131914241","https://openalex.org/W3165132357","https://openalex.org/W3213306229","https://openalex.org/W4206519819","https://openalex.org/W4223422326","https://openalex.org/W4223962547","https://openalex.org/W4283457321","https://openalex.org/W4286005847","https://openalex.org/W4295872209","https://openalex.org/W4312208350","https://openalex.org/W4312851514","https://openalex.org/W4361286235","https://openalex.org/W4375928915","https://openalex.org/W4376875188","https://openalex.org/W4378807549","https://openalex.org/W4389212238","https://openalex.org/W4390874237","https://openalex.org/W4403224288","https://openalex.org/W4408973787","https://openalex.org/W4409917446","https://openalex.org/W4414206294","https://openalex.org/W4414392027","https://openalex.org/W4414938773"],"related_works":["https://openalex.org/W4416154164","https://openalex.org/W7105505903","https://openalex.org/W7210262200","https://openalex.org/W2891440844","https://openalex.org/W4224086628","https://openalex.org/W2964344300","https://openalex.org/W4322710710","https://openalex.org/W2997917485","https://openalex.org/W7128040303","https://openalex.org/W3015309773"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,61],"present":[4],"Mask-TAUDL,":[5],"an":[6],"advanced":[7],"unsupervised":[8,15,42,212],"re-identification":[9,159],"architecture":[10,112,192],"that":[11,117,206],"combines":[12,30],"instance":[13],"segmentation,":[14],"deep":[16,43],"learning,":[17],"and":[18,40,56,76,100,104,168,174,203,227,248],"tracklet":[19,48,81,98],"association":[20,49],"for":[21,216,242],"detailed":[22],"analysis":[23],"of":[24,119,135],"object":[25,54],"behavior":[26,218],"in":[27,125,187,209,230],"long-term":[28,237],"recordings.It":[29],"the":[31,41,80,96],"Mask":[32],"R-CNN":[33,51],"dual-stream":[34],"detector/segmenter":[35],"with":[36,64,143],"dual":[37],"ResNet-18":[38,68],"backbones":[39],"learning":[44],"module":[45,92],"based":[46],"on":[47,95,179],"(TAUDL).Mask":[50],"provides":[52],"accurate":[53],"localization":[55],"binary":[57],"masks":[58,72],"from":[59],"which":[60,83,183],"construct":[62],"tracklets":[63],"improved":[65],"segmentation.The":[66],"two":[67],"streams":[69],"use":[70],"these":[71,194],"to":[73,163],"extract":[74],"appearance":[75,166],"motion-sensitive":[77],"features":[78,99,118,136,146],"at":[79],"level,":[82],"are":[84],"combined":[85],"into":[86],"a":[87,114,120,132,210],"common":[88],"feature":[89],"descriptor.The":[90],"TAUDL":[91],"operates":[93],"directly":[94],"masked":[97,141],"co-trains":[101],"discriminative":[102],"embeddings":[103,205],"cross-session":[105],"associations":[106],"without":[107],"manual":[108],"labeling.The":[109],"proposed":[110],"Mask-TAUDL":[111,191],"trains":[113],"model":[115],"so":[116],"single":[121],"individual":[122],"remain":[123],"close":[124],"embedding":[126],"space":[127],"over":[128],"time,":[129],"while":[130],"providing":[131],"clear":[133],"separation":[134],"between":[137,172],"different":[138],"individuals.Integrating":[139],"pure":[140],"regions":[142],"temporally":[144,199],"aggregated":[145],"helps":[147],"suppress":[148],"spurious":[149],"variations":[150],"caused":[151],"by":[152,196],"shadows,":[153],"reflections,":[154],"or":[155,232],"overlapping":[156],"objects.Long-term":[157],"animal":[158,217],"is":[160,214,240],"challenging":[161],"due":[162],"frequent":[164],"overlaps,":[165],"drift,":[167],"subtle":[169],"visual":[170],"differences":[171],"individuals,":[173],"most":[175],"existing":[176],"solutions":[177],"rely":[178],"large":[180],"annotated":[181],"datasets,":[182],"limits":[184],"their":[185],"applicability":[186],"real-world":[188],"laboratory":[189,222],"settings.The":[190],"overcomes":[193],"limitations":[195],"explicitly":[197],"modeling":[198],"consistent,":[200],"mask-refined":[201],"tracks":[202],"training":[204],"preserve":[207],"identity":[208,238],"fully":[211],"manner.Mask-TAUDL":[213],"designed":[215],"studies,":[219],"namely":[220],"small":[221],"species":[223],"such":[224],"as":[225],"mice":[226],"fish":[228],"observed":[229],"closed":[231],"semi-structured":[233],"arenas,":[234],"where":[235],"reliable":[236],"tracking":[239],"essential":[241],"quantitative":[243],"behavioral":[244],"analysis,":[245],"longitudinal":[246],"experiments,":[247],"high-throughput":[249],"screening.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2025-12-11T00:00:00"}