{"id":"https://openalex.org/W7153988674","doi":"https://doi.org/10.1007/s44163-026-01222-2","title":"A cross-camera multi-target tracking algorithm for substation scenarios","display_name":"A cross-camera multi-target tracking algorithm for substation scenarios","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7153988674","doi":"https://doi.org/10.1007/s44163-026-01222-2"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-026-01222-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-026-01222-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44163-026-01222-2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065202265","display_name":"Hai Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088511","display_name":"Inner Mongolia Electric Power (China)","ror":"https://ror.org/0041szh84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210088511"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hai Yu","raw_affiliation_strings":["Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi, China","institution_ids":["https://openalex.org/I4210088511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015816070","display_name":"Zhenguo Liu","orcid":"https://orcid.org/0000-0002-0452-0076"},"institutions":[{"id":"https://openalex.org/I4210088511","display_name":"Inner Mongolia Electric Power (China)","ror":"https://ror.org/0041szh84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210088511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenguo Liu","raw_affiliation_strings":["Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi, China","institution_ids":["https://openalex.org/I4210088511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038726280","display_name":"X. Q. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088511","display_name":"Inner Mongolia Electric Power (China)","ror":"https://ror.org/0041szh84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210088511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Li","raw_affiliation_strings":["Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi, China","institution_ids":["https://openalex.org/I4210088511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133535497","display_name":"Xueyin Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088511","display_name":"Inner Mongolia Electric Power (China)","ror":"https://ror.org/0041szh84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210088511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyin Shan","raw_affiliation_strings":["Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi, China","institution_ids":["https://openalex.org/I4210088511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133520007","display_name":"Wenquan Piao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088511","display_name":"Inner Mongolia Electric Power (China)","ror":"https://ror.org/0041szh84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210088511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenquan Piao","raw_affiliation_strings":["Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi, China","institution_ids":["https://openalex.org/I4210088511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5065202265"],"corresponding_institution_ids":["https://openalex.org/I4210088511"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40181693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.3573000133037567,"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":0.3573000133037567,"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":0.14810000360012054,"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":0.0502999983727932,"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/robustness","display_name":"Robustness (evolution)","score":0.7529000043869019},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5238999724388123},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5141000151634216},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48539999127388},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.460999995470047},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.4433000087738037},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44279998540878296},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.41839998960494995}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7529000043869019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6080999970436096},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5238999724388123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5151000022888184},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5141000151634216},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48539999127388},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.460999995470047},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.4433000087738037},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44279998540878296},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.41839998960494995},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.38440001010894775},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.375900000333786},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3743000030517578},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.35420000553131104},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.34459999203681946},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3328999876976013},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32269999384880066},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29670000076293945},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.2694000005722046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26260000467300415}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-026-01222-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-026-01222-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0ecea2b4295444048fbe26681fc14940","is_oa":true,"landing_page_url":"https://doaj.org/article/0ecea2b4295444048fbe26681fc14940","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 6, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-026-01222-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-026-01222-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1949591461","https://openalex.org/W1979260620","https://openalex.org/W1991452654","https://openalex.org/W1994774201","https://openalex.org/W2088049833","https://openalex.org/W2090678240","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2127141656","https://openalex.org/W2157598322","https://openalex.org/W2193145675","https://openalex.org/W2204750386","https://openalex.org/W2470394683","https://openalex.org/W2519136515","https://openalex.org/W2538008885","https://openalex.org/W2603203130","https://openalex.org/W2606377603","https://openalex.org/W2618530766","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2966961956","https://openalex.org/W2981165461","https://openalex.org/W3012471638","https://openalex.org/W3084133296","https://openalex.org/W3084173793","https://openalex.org/W3119686997","https://openalex.org/W3138516171","https://openalex.org/W3172793249","https://openalex.org/W3173664046","https://openalex.org/W3207452968","https://openalex.org/W3217365746","https://openalex.org/W4214845809","https://openalex.org/W4286904999","https://openalex.org/W4294911871","https://openalex.org/W4306748479","https://openalex.org/W4310117546","https://openalex.org/W4311688136","https://openalex.org/W4312443924","https://openalex.org/W4312533058","https://openalex.org/W4313117614","https://openalex.org/W4319866011","https://openalex.org/W4322096648","https://openalex.org/W4327620340","https://openalex.org/W4387939377","https://openalex.org/W4389274545","https://openalex.org/W4390638513","https://openalex.org/W4391541320","https://openalex.org/W4396628231","https://openalex.org/W4401360978","https://openalex.org/W4403202092","https://openalex.org/W4404739792","https://openalex.org/W4405786144","https://openalex.org/W4409709894","https://openalex.org/W4412107031","https://openalex.org/W4413144277"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,7,66,74,105,113,116,122,131,137,141,148,159,184,195,305,311],"rapid":[2],"evolution":[3],"of":[4,12,33,76,101,119,136,157,167,179,188,197,307],"smart":[5,199],"grids,":[6],"need":[8],"for":[9,52,98,194,314],"unattended":[10,198],"operation":[11],"substations":[13],"has":[14,23],"grown":[15],"increasingly":[16],"urgent,":[17],"and":[18,31,55,80,104,121,169,211,243,272,291,301],"cross-camera":[19,127,170,250,263,278],"multi-target":[20,69,88,128,279],"tracking":[21,70,89,129,171,176,280],"technology":[22],"emergedas":[24],"a":[25,152,164,173,206],"crucial":[26],"element":[27],"in":[28,84,130,224,285],"guaranteeing":[29],"reliability":[30],"security":[32],"intelligent":[34,185,315],"monitoring":[35,186],"systems.":[36],"In":[37],"this":[38],"paper,":[39],"target":[40,53,82,221],"detection":[41,54,209,222],"based":[42,58,111],"on":[43,59,112],"improved":[44,60,202],"You":[45],"Only":[46],"Look":[47],"Once":[48],"Version":[49],"8":[50],"(YOLOv8)":[51],"feature":[56,94,99,254],"matching":[57,100],"re-identification":[61,161,230],"algorithm":[62,71,142,232,281],"are":[63],"integrated":[64],"into":[65],"Bag-of-Tricks-SORT":[67],"(BOT-SORT)":[68],"to":[72,125,261,296],"tackle":[73],"difficulties":[75],"detecting":[77],"small":[78,207,220],"targets":[79,120],"frequent":[81],"occlusions":[83],"substation":[85,132,226,273,286,316],"scenarios,":[86,287],"single-camera":[87],"is":[90,96,109,216,233,259],"achieved.":[91],"The":[92,134,228,276],"global":[93,253],"pool":[95,255],"introduced":[97],"tracked":[102],"targets,":[103],"time\u2013space":[106],"association":[107,258],"strategy":[108],"designed":[110],"relationship":[114],"between":[115],"motion":[117,271],"pattern":[118],"scene":[123],"topology":[124],"achieve":[126],"scene.":[133],"outcomes":[135],"experiments":[138,303],"demonstrate":[139],"that":[140],"put":[143],"forward":[144],"surpasses":[145],"existing":[146,297],"methods:":[147],"enhanced":[149],"YOLOv8":[150,203],"achieves":[151,282],"mean":[153],"average":[154],"precision":[155],"(mAP50)":[156],"97.9%,":[158],"optimized":[160,234],"model":[162],"reaches":[163],"Rank-1":[165],"accuracy":[166,177,223],"72.5%,":[168],"obtains":[172],"multiple":[174],"object":[175,208],"(MOTA)":[178],"82.8%.This":[180],"research":[181],"effectively":[182,266],"enhances":[183],"capabilities":[187],"substations,":[189],"thereby":[190],"providing":[191],"critical":[192],"support":[193],"development":[196],"grids.":[200],"An":[201],"framework":[204],"integrating":[205],"layer":[210],"Global":[212],"Attention":[213],"Mechanism":[214],"(GAM)":[215],"proposed,":[217],"significantly":[218],"enhancing":[219],"complex":[225],"environments.":[227],"domain-general":[229],"(DG-ReID)":[231],"with":[235,256,288],"hybrid":[236],"data":[237],"augmentation,":[238],"domain-adversarial":[239],"neural":[240],"networks":[241],"(DANN),":[242],"hierarchical":[244],"learning":[245],"rates,":[246],"improving":[247],"robustness":[248],"against":[249],"variations.":[251],"A":[252],"spatio-temporal":[257],"developed":[260],"realize":[262],"identity":[264],"matching,":[265],"reducing":[267],"false":[268],"matches":[269],"through":[270],"layout":[274],"constraints.":[275],"proposed":[277],"superior":[283],"performance":[284],"82.8%":[289],"MOTA":[290],"reduced":[292],"ID":[293],"switches":[294],"compared":[295],"methods.":[298],"Comprehensive":[299],"ablation":[300],"comparison":[302],"validate":[304],"effectiveness":[306],"each":[308],"improvement,":[309],"demonstrating":[310],"algorithm's":[312],"suitability":[313],"monitoring.":[317]},"counts_by_year":[],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2026-04-14T00:00:00"}
