{"id":"https://openalex.org/W4312264985","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892742","title":"SiamON: Siamese Tracking by Online Update Module and Non-local Pyramid Module","display_name":"SiamON: Siamese Tracking by Online Update Module and Non-local Pyramid Module","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312264985","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892742"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892742","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/A5100416760","display_name":"Teng Liu","orcid":"https://orcid.org/0000-0003-4071-7607"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Teng Liu","raw_affiliation_strings":["School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences),Jinan,China","School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences),Jinan,China","institution_ids":["https://openalex.org/I152269853"]},{"raw_affiliation_string":"School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382829","display_name":"Aimin Li","orcid":"https://orcid.org/0000-0001-6619-9081"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Li","raw_affiliation_strings":["School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences),Jinan,China","School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences),Jinan,China","institution_ids":["https://openalex.org/I152269853"]},{"raw_affiliation_string":"School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100758655","display_name":"Xiaohan Liu","orcid":"https://orcid.org/0000-0002-0009-1008"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Liu","raw_affiliation_strings":["School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences),Jinan,China","School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences),Jinan,China","institution_ids":["https://openalex.org/I152269853"]},{"raw_affiliation_string":"School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033272739","display_name":"Jiachuan Li","orcid":"https://orcid.org/0000-0001-5499-4897"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachuan Li","raw_affiliation_strings":["School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences),Jinan,China","School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences),Jinan,China","institution_ids":["https://openalex.org/I152269853"]},{"raw_affiliation_string":"School of Computer Science and Technology. Qilu University of Technology(Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100416760"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":0.0599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.30614573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9914","issue":null,"first_page":"1","last_page":"9"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9894000291824341,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7552650570869446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7541310787200928},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.746819794178009},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6540411114692688},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6105148792266846},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5499458312988281},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4736420214176178},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4626880884170532},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.4327911138534546},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4297768771648407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33208468556404114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11355584859848022},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07536688446998596}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7552650570869446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541310787200928},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.746819794178009},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6540411114692688},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6105148792266846},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5499458312988281},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4736420214176178},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4626880884170532},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.4327911138534546},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4297768771648407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33208468556404114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11355584859848022},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07536688446998596},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892742","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1857884451","https://openalex.org/W1861492603","https://openalex.org/W2089961441","https://openalex.org/W2117539524","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2163605009","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2518876086","https://openalex.org/W2557641257","https://openalex.org/W2605173812","https://openalex.org/W2610871254","https://openalex.org/W2797812763","https://openalex.org/W2799058067","https://openalex.org/W2886910176","https://openalex.org/W2891033863","https://openalex.org/W2895588569","https://openalex.org/W2916780012","https://openalex.org/W2917435394","https://openalex.org/W2927438889","https://openalex.org/W2955747520","https://openalex.org/W2962824803","https://openalex.org/W2962864296","https://openalex.org/W2963074722","https://openalex.org/W2963227409","https://openalex.org/W2963471260","https://openalex.org/W2963534981","https://openalex.org/W2963854930","https://openalex.org/W2964198573","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2972392244","https://openalex.org/W3035211844","https://openalex.org/W3119004978","https://openalex.org/W3159231306","https://openalex.org/W3162457465","https://openalex.org/W3164852086","https://openalex.org/W3167536469","https://openalex.org/W3214586131","https://openalex.org/W6639102338","https://openalex.org/W6684191040","https://openalex.org/W6720898849","https://openalex.org/W6753818355","https://openalex.org/W6788123091","https://openalex.org/W6793797441","https://openalex.org/W6795704626"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W3000097931","https://openalex.org/W2391926582","https://openalex.org/W2354322770","https://openalex.org/W3205445068","https://openalex.org/W3134004915","https://openalex.org/W2049930962"],"abstract_inverted_index":{"The":[0,200],"core":[1],"idea":[2],"of":[3,34,52,79,87,166],"the":[4,17,26,31,35,50,56,70,77,80,84,88,92,97,107,117,125,133,144,154,164,167,179,210],"object":[5,28,67,81,98,145,172,185],"tracker":[6,168,180,206,212],"based":[7],"on":[8,196],"Siamese":[9,71,114],"network":[10,72,129],"and":[11,30,38,46,82,101,127,139,142,163,188,213],"its":[12],"derivative":[13],"is":[14,63,99,121,161,175,207],"to":[15,66,76,105,123,169,171],"transform":[16],"tracking":[18,44,93,198],"problem":[19],"into":[20],"a":[21,40,112],"template":[22,159],"matching":[23],"problem,":[24],"cross-correlation":[25],"extracted":[27],"features":[29,33,135],"convolution":[32],"search":[36],"area,":[37],"achieve":[39],"good":[41],"balance":[42],"in":[43,184,216],"speed":[45],"accuracy.":[47],"However,":[48],"with":[49],"deepening":[51],"feature":[53,57],"extraction":[54],"network,":[55],"map":[58],"contains":[59],"less":[60],"details,":[61],"which":[62,90],"not":[64,74],"conducive":[65],"location.":[68],"Secondly,":[69,147],"can":[73,214],"adapt":[75,170],"change":[78],"obtain":[83],"context":[85],"characteristics":[86],"object,":[89],"makes":[91],"effect":[94],"worse":[95],"when":[96],"occluded":[100],"deformed.":[102],"In":[103],"order":[104],"solve":[106],"above":[108],"problems,":[109],"we":[110],"propose":[111],"non-local":[113,118],"network\u2013SiamON.":[115],"Firstly,":[116],"pyramid":[119],"module":[120],"used":[122],"fuse":[124],"low-level":[126],"high-level":[128],"features,":[130],"so":[131,177],"that":[132,178,204],"convoluted":[134],"contain":[136],"more":[137],"details":[138],"semantic":[140],"information,":[141],"enhance":[143],"representation.":[146],"by":[148,158],"adding":[149],"an":[150],"online":[151,174],"update":[152,160],"module,":[153],"error":[155],"accumulation":[156],"caused":[157],"avoided,":[162],"ability":[165],"changes":[173],"improved,":[176],"has":[181],"strong":[182],"robustness":[183],"emission":[186],"deformation":[187],"occlusion.":[189],"Finally,":[190],"extensive":[191],"experiments":[192],"are":[193],"carried":[194],"out":[195],"seven":[197],"datasets.":[199],"experimental":[201],"results":[202],"show":[203],"our":[205],"better":[208],"than":[209],"latest":[211],"run":[215],"real":[217],"time.":[218]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}