{"id":"https://openalex.org/W4312542089","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892497","title":"Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking","display_name":"Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312542089","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892497"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892497","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5112974058","display_name":"Madhu Kiran","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Madhu Kiran","raw_affiliation_strings":["École de technologie supérieure,Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA),Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"École de technologie supérieure,Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA),Montreal,Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046794574","display_name":"Le Thanh Nguyen-Meidine","orcid":"https://orcid.org/0000-0002-5850-7213"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le Thanh Nguyen-Meidine","raw_affiliation_strings":["École de technologie supérieure,Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA),Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"École de technologie supérieure,Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA),Montreal,Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054397279","display_name":"Rajat Sahay","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajat Sahay","raw_affiliation_strings":["Vellore Institute of Technology,Vellore,India","Vellore Institute of Technology, Vellore, India"],"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology,Vellore,India","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"Vellore Institute of Technology, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019553116","display_name":"Rafael M. O. Cruz","orcid":"https://orcid.org/0000-0001-9446-1040"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rafael Menelau Oliveira E Cruz","raw_affiliation_strings":["École de technologie supérieure,Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA),Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"École de technologie supérieure,Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA),Montreal,Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032176624","display_name":"Louis-Antoine Blais-Morin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158879","display_name":"Genetec (Canada)","ror":"https://ror.org/05gk8hj18","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210158879"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Louis-Antoine Blais-Morin","raw_affiliation_strings":["Genetec Inc.,Montreal,Canada","Genetec Inc., Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Genetec Inc.,Montreal,Canada","institution_ids":["https://openalex.org/I4210158879"]},{"raw_affiliation_string":"Genetec Inc., Montreal, Canada","institution_ids":["https://openalex.org/I4210158879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006937759","display_name":"\u00c9ric Granger","orcid":"https://orcid.org/0000-0001-6116-7945"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eric Granger","raw_affiliation_strings":["École de technologie supérieure,Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA),Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"École de technologie supérieure,Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA),Montreal,Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112974058"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1798,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52666477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"114","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9925000071525574,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9749000072479248,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8344392776489258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8288213014602661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6319445967674255},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.5514258146286011},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5202816128730774},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4785202741622925},{"id":"https://openalex.org/keywords/online-model","display_name":"Online model","score":0.4650605320930481},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4622158408164978},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45787355303764343},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4500569999217987},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4320376515388489},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.43114417791366577},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.41456297039985657},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.36740681529045105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3440040946006775}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8344392776489258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8288213014602661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6319445967674255},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.5514258146286011},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5202816128730774},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4785202741622925},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.4650605320930481},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4622158408164978},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45787355303764343},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4500569999217987},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4320376515388489},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.43114417791366577},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.41456297039985657},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.36740681529045105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3440040946006775},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892497","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:25678","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/25678/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1585854823","https://openalex.org/W1857884451","https://openalex.org/W2089961441","https://openalex.org/W2097178527","https://openalex.org/W2143991132","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2502276222","https://openalex.org/W2513005088","https://openalex.org/W2518876086","https://openalex.org/W2522231769","https://openalex.org/W2557641257","https://openalex.org/W2560647685","https://openalex.org/W2605253252","https://openalex.org/W2612063921","https://openalex.org/W2734314755","https://openalex.org/W2747747656","https://openalex.org/W2776035257","https://openalex.org/W2794744029","https://openalex.org/W2799058067","https://openalex.org/W2883580176","https://openalex.org/W2885060605","https://openalex.org/W2886910176","https://openalex.org/W2891033863","https://openalex.org/W2894176037","https://openalex.org/W2904531787","https://openalex.org/W2920338184","https://openalex.org/W2955747520","https://openalex.org/W2963471260","https://openalex.org/W2963534981","https://openalex.org/W2963540014","https://openalex.org/W2963559848","https://openalex.org/W2963854930","https://openalex.org/W2964189064","https://openalex.org/W2964242925","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2987460522","https://openalex.org/W2989688045","https://openalex.org/W2996443765","https://openalex.org/W3001584168","https://openalex.org/W3034451759","https://openalex.org/W3035453691","https://openalex.org/W3035725297","https://openalex.org/W3091445217","https://openalex.org/W3108235634","https://openalex.org/W3108519869","https://openalex.org/W3114102820","https://openalex.org/W3167536469","https://openalex.org/W3174225630","https://openalex.org/W4200217704","https://openalex.org/W4249116379","https://openalex.org/W4295883599","https://openalex.org/W4298116016","https://openalex.org/W4301163820","https://openalex.org/W4319988532","https://openalex.org/W6635179022","https://openalex.org/W6726654379","https://openalex.org/W6741217325","https://openalex.org/W6742852309","https://openalex.org/W6748907736","https://openalex.org/W6753818355","https://openalex.org/W6764645560","https://openalex.org/W6849896277"],"related_works":["https://openalex.org/W2534746541","https://openalex.org/W3177406559","https://openalex.org/W2955100824","https://openalex.org/W2396101943","https://openalex.org/W2732308154","https://openalex.org/W3136955865","https://openalex.org/W4328132736","https://openalex.org/W3015973434","https://openalex.org/W2086383524","https://openalex.org/W3126660769"],"abstract_inverted_index":{"Deep":[0],"Siamese":[1,200],"trackers":[2,201],"have":[3,36],"recently":[4],"gained":[5],"much":[6],"attention":[7],"in":[8,49,57,118],"recent":[9],"years":[10],"since":[11],"they":[12],"can":[13,150,202],"track":[14],"visual":[15],"objects":[16],"at":[17],"high":[18],"speed.":[19],"Additionally,":[20],"adaptive":[21,199],"tracking":[22,43,77,156],"methods,":[23],"where":[24],"target":[25,59],"samples":[26,67,125],"collected":[27,66],"by":[28],"the":[29,65,76,123,169,177,184,204],"tracker":[30],"are":[31],"employed":[32],"for":[33,96,126,144,162],"online":[34,87,127,160],"learning,":[35],"achieved":[37],"state-of-the-art":[38],"accuracy.":[39],"However,":[40],"single":[41],"object":[42,119,155],"(SOT)":[44],"remains":[45],"a":[46,58,110,140,208],"challenging":[47],"task":[48],"real-world":[50],"application":[51],"due":[52],"to":[53,70,114,138],"changes":[54,117],"and":[55,73,100,121,173,212],"deformations":[56],"object's":[60],"appearance.":[61],"Learning":[62],"on":[63,168],"all":[64],"may":[68],"lead":[69],"catastrophic":[71],"forgetting,":[72],"thereby":[74],"corrupt":[75],"model.":[78],"In":[79,106,129],"this":[80],"paper,":[81],"SOT":[82],"is":[83,94,136],"formulated":[84],"as":[85],"an":[86,131],"incremental":[88],"learning":[89,161],"problem.":[90],"A":[91],"new":[92],"method":[93,149,196],"proposed":[95,148,195],"dynamic":[97],"sample":[98,133],"selection":[99,134],"memory":[101,145],"replay,":[102],"preventing":[103],"template":[104,209],"corruption.":[105],"particular,":[107],"we":[108],"propose":[109],"change":[111],"detection":[112],"mechanism":[113],"detect":[115],"gradual":[116],"appearance,":[120],"select":[122],"corresponding":[124],"adaption.":[128],"addition,":[130],"entropy-based":[132],"strategy":[135],"introduced":[137],"maintain":[139],"diversified":[141],"auxiliary":[142],"buffer":[143],"replay.":[146],"Our":[147],"be":[151],"integrated":[152],"into":[153,197],"any":[154],"algorithm":[157],"that":[158,192],"leverages":[159],"model":[163],"adaptation.":[164],"Extensive":[165],"experiments":[166],"conducted":[167],"OTB-100,":[170],"LaSOT,":[171],"UAV123,":[172],"TrackingNet":[174],"datasets":[175],"highlight":[176],"cost-effectiveness":[178],"of":[179,186,207],"our":[180,194],"method,":[181],"along":[182],"with":[183],"contribution":[185],"its":[187],"key":[188],"components.":[189],"Results":[190],"indicate":[191],"integrating":[193],"state-of-art":[198],"increase":[203],"potential":[205],"benefits":[206],"update":[210],"strategy,":[211],"significantly":[213],"improve":[214],"performance.":[215],"Code:":[216],"https://github.com/madhukiranets/Adaptive-Siamese-Dimp":[217]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}