{"id":"https://openalex.org/W4312796324","doi":"https://doi.org/10.1109/tcsvt.2022.3212987","title":"Leveraging Local and Global Cues for Visual Tracking via Parallel Interaction Network","display_name":"Leveraging Local and Global Cues for Visual Tracking via Parallel Interaction Network","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4312796324","doi":"https://doi.org/10.1109/tcsvt.2022.3212987"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3212987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3212987","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5065943384","display_name":"Yaozong Zheng","orcid":"https://orcid.org/0009-0007-2664-0574"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaozong Zheng","raw_affiliation_strings":["Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","Department of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058101262","display_name":"Bineng Zhong","orcid":"https://orcid.org/0000-0003-3423-1539"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bineng Zhong","raw_affiliation_strings":["Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0003-3423-1539","affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049287545","display_name":"Qihua Liang","orcid":"https://orcid.org/0000-0003-2353-5246"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihua Liang","raw_affiliation_strings":["Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087798028","display_name":"Zhenjun Tang","orcid":"https://orcid.org/0000-0003-3664-1363"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenjun Tang","raw_affiliation_strings":["Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0003-3664-1363","affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016080094","display_name":"Rongrong Ji","orcid":"https://orcid.org/0000-0001-9163-2932"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Ji","raw_affiliation_strings":["Department of Artificial Intelligence, School of Informatics, Media Analytics and Computing Laboratory, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-9163-2932","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, School of Informatics, Media Analytics and Computing Laboratory, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037037839","display_name":"Xianxian Li","orcid":"https://orcid.org/0000-0002-7083-3847"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianxian Li","raw_affiliation_strings":["Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0002-7083-3847","affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9798,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.95489045,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"33","issue":"4","first_page":"1671","last_page":"1683"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9886999726295471,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.984000027179718,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8065171241760254},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.564236581325531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5307555198669434},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5239429473876953},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47520503401756287},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4689810872077942},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4263332486152649},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41674819588661194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3684864640235901},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3492037057876587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09888869524002075}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065171241760254},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.564236581325531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5307555198669434},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5239429473876953},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47520503401756287},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4689810872077942},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4263332486152649},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41674819588661194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3684864640235901},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3492037057876587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09888869524002075},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3212987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3212987","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3295794154","display_name":null,"funder_award_id":"61972167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3545138527","display_name":null,"funder_award_id":"22-A-03-01","funder_id":"https://openalex.org/F4320336248","funder_display_name":"Guangxi Key Laboratory of Multi-Source Information Mining and Security"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336248","display_name":"Guangxi Key Laboratory of Multi-Source Information Mining and Security","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2117539524","https://openalex.org/W2158592639","https://openalex.org/W2194775991","https://openalex.org/W2470394683","https://openalex.org/W2518876086","https://openalex.org/W2794744029","https://openalex.org/W2799058067","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2962766617","https://openalex.org/W2963534981","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2987460522","https://openalex.org/W2998027361","https://openalex.org/W2998434318","https://openalex.org/W3001584168","https://openalex.org/W3017266435","https://openalex.org/W3034617042","https://openalex.org/W3035211844","https://openalex.org/W3035453691","https://openalex.org/W3035460038","https://openalex.org/W3035473155","https://openalex.org/W3035511673","https://openalex.org/W3035571898","https://openalex.org/W3035672751","https://openalex.org/W3035694605","https://openalex.org/W3096609285","https://openalex.org/W3104158266","https://openalex.org/W3106127916","https://openalex.org/W3108235634","https://openalex.org/W3108519869","https://openalex.org/W3127178541","https://openalex.org/W3138516171","https://openalex.org/W3160694286","https://openalex.org/W3161120562","https://openalex.org/W3162457465","https://openalex.org/W3167536469","https://openalex.org/W3168663926","https://openalex.org/W3172670627","https://openalex.org/W3174225630","https://openalex.org/W3175891031","https://openalex.org/W3188030807","https://openalex.org/W3190492058","https://openalex.org/W3204540098","https://openalex.org/W3204554907","https://openalex.org/W3214586131","https://openalex.org/W4214506192","https://openalex.org/W4214759957","https://openalex.org/W4236612852","https://openalex.org/W4386806212","https://openalex.org/W6620707391","https://openalex.org/W6739901393","https://openalex.org/W6757817989","https://openalex.org/W6795704626","https://openalex.org/W6799331645"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Despite":[0],"that":[1,158],"both":[2],"local":[3,50,104,140,165],"and":[4,14,81,166],"context":[5,32,90,136,167],"information":[6,33,105,116,137,150,168],"are":[7,123,155],"crucial":[8],"for":[9],"robust":[10],"tracking,":[11],"existing":[12],"CNN-based":[13],"transformer-based":[15,99],"methods":[16],"mainly":[17],"focus":[18],"on":[19,65,176],"one":[20],"of":[21,72,117,148],"these":[22],"aspects.":[23],"Consequently,":[24],"the":[25,36,41,45,49,61,88,93,113,118,134,139,146],"former":[26],"fails":[27],"to":[28,35,91,111,126,138,163],"exploit":[29],"rich":[30],"global":[31,89,135],"due":[34],"limited":[37],"receptive":[38],"field,":[39],"while":[40,180],"latter":[42],"suffers":[43],"from":[44],"deficiencies":[46],"in":[47],"constructing":[48],"relationship":[51],"among":[52],"neighboring":[53],"regions.":[54],"To":[55],"address":[56],"this":[57],"issue,":[58],"we":[59],"propose":[60],"SiamPIN":[62],"tracker,":[63],"based":[64],"our":[66,159],"Parallel":[67],"Interaction":[68],"Network.":[69],"It":[70],"consists":[71],"two":[73,121],"effective":[74],"modules,":[75],"namely":[76],"Global":[77],"Aggregation":[78],"Block":[79,84],"(GAB)":[80],"Local":[82],"Process":[83],"(LPB).":[85],"GAB":[86],"perceives":[87],"capture":[92],"long-range":[94],"spatial":[95],"dependency":[96],"through":[97],"a":[98,108,128,182],"architecture.":[100],"Meanwhile,":[101],"LPB":[102],"performs":[103],"extraction":[106,142],"using":[107],"CNN":[109],"model":[110,160],"retain":[112],"detailed":[114],"appearance":[115],"target.":[119],"These":[120],"modules":[122],"connected":[124],"consecutively":[125],"compose":[127],"Trans-Conv":[129],"unit":[130],"block,":[131],"which":[132],"transmits":[133],"feature":[141],"procedure,":[143],"hence":[144],"enables":[145],"interaction":[147],"global-local":[149],"flow.":[151],"Several":[152],"such":[153],"blocks":[154],"cascaded":[156],"so":[157],"can":[161],"learn":[162],"aggregate":[164],"interactively.":[169],"The":[170],"proposed":[171],"tracker":[172],"achieves":[173],"state-of-the-art":[174],"performance":[175],"six":[177],"benchmark":[178],"datasets,":[179],"maintaining":[181],"real":[183],"time":[184],"running":[185],"speed.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":16}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
