{"id":"https://openalex.org/W4408373832","doi":"https://doi.org/10.3390/sym17030422","title":"A Distortion-Aware Dynamic Spatial\u2013Temporal Regularized Correlation Filtering Target Tracking Algorithm","display_name":"A Distortion-Aware Dynamic Spatial\u2013Temporal Regularized Correlation Filtering Target Tracking Algorithm","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408373832","doi":"https://doi.org/10.3390/sym17030422"},"language":"en","primary_location":{"id":"doi:10.3390/sym17030422","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17030422","pdf_url":"https://www.mdpi.com/2073-8994/17/3/422/pdf?version=1741759468","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/3/422/pdf?version=1741759468","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100462324","display_name":"Weihua Wang","orcid":"https://orcid.org/0000-0003-1737-6648"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Wang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104304948","display_name":"Han-Qing Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanqing Wu","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413153","display_name":"Chen Gao","orcid":"https://orcid.org/0000-0002-5646-9970"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gao Chen","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100348369","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-1254-8474"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5104304948"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04467844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"3","first_page":"422","last_page":"422"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9783999919891357,"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":0.6538604497909546},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5604636073112488},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.5602766275405884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5515508651733398},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5503314733505249},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5360721945762634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42748260498046875},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.41327619552612305},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3748881220817566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2503165006637573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538604497909546},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5604636073112488},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.5602766275405884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5515508651733398},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5503314733505249},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5360721945762634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42748260498046875},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.41327619552612305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3748881220817566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2503165006637573},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17030422","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17030422","pdf_url":"https://www.mdpi.com/2073-8994/17/3/422/pdf?version=1741759468","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17030422","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17030422","pdf_url":"https://www.mdpi.com/2073-8994/17/3/422/pdf?version=1741759468","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408373832.pdf"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W818325216","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2044986361","https://openalex.org/W2053211294","https://openalex.org/W2089961441","https://openalex.org/W2105934661","https://openalex.org/W2118877769","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2159128898","https://openalex.org/W2408241409","https://openalex.org/W2518876086","https://openalex.org/W2599547527","https://openalex.org/W2604701225","https://openalex.org/W2753461371","https://openalex.org/W2762170788","https://openalex.org/W2781948176","https://openalex.org/W2798842862","https://openalex.org/W2886904239","https://openalex.org/W2955983623","https://openalex.org/W2964069521","https://openalex.org/W2964111344","https://openalex.org/W2964992886","https://openalex.org/W3024883262","https://openalex.org/W3035466700","https://openalex.org/W3058137675","https://openalex.org/W3123635396","https://openalex.org/W3162188105","https://openalex.org/W3216978753","https://openalex.org/W4210345533","https://openalex.org/W4214914625","https://openalex.org/W4285174280","https://openalex.org/W4292661326","https://openalex.org/W4313201440","https://openalex.org/W4315778389","https://openalex.org/W4317935402","https://openalex.org/W4366750942","https://openalex.org/W4372301314","https://openalex.org/W4375862875","https://openalex.org/W4385945123","https://openalex.org/W4386850165","https://openalex.org/W4386858604","https://openalex.org/W4387784398","https://openalex.org/W4388773780","https://openalex.org/W4389994705","https://openalex.org/W4390823794","https://openalex.org/W4391262767","https://openalex.org/W4391325430","https://openalex.org/W4391404257","https://openalex.org/W4392599818","https://openalex.org/W4393140486","https://openalex.org/W4396721456","https://openalex.org/W4399427877","https://openalex.org/W4400275461","https://openalex.org/W4400351215","https://openalex.org/W4404135625","https://openalex.org/W4407128566","https://openalex.org/W6676012828","https://openalex.org/W6848427820"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W1580685205","https://openalex.org/W2760382975","https://openalex.org/W3191856393","https://openalex.org/W1988032185","https://openalex.org/W2898021863","https://openalex.org/W4320029439","https://openalex.org/W2521335480","https://openalex.org/W3121692546","https://openalex.org/W2611370603"],"abstract_inverted_index":{"The":[0,29,221],"discriminative":[1],"correlation":[2,30,66,104],"filtering":[3,67,105,166,207],"target":[4,106,170,208],"tracking":[5,13,107,209,227],"algorithm":[6,108],"can":[7,34],"achieve":[8],"a":[9,99,115,140],"good":[10],"balance":[11],"between":[12],"accuracy":[14],"and":[15,17,136,157,219,236,245,254],"speed,":[16],"therefore":[18],"has":[19,55],"attracted":[20],"much":[21],"attention":[22],"in":[23,38,57,72,76],"the":[24,39,43,50,53,58,128,148,153,158,164,169,174,182,192,212,226,241,246,259],"field":[25],"of":[26,31,52,130,150,152,215,229,261],"image":[27,54],"tracking.":[28,180],"response":[32],"maps":[33],"be":[35],"efficiently":[36],"calculated":[37],"Fourier":[40,46,59],"domain":[41],"through":[42],"input":[44],"discrete":[45],"transform":[47],"(DFT),":[48],"where":[49,85],"DFT":[51],"symmetry":[56],"domain.":[60],"However,":[61],"most":[62],"algorithms":[63,210],"based":[64,110,122],"on":[65,111,123,211],"still":[68],"have":[69],"unsatisfactory":[70],"performance":[71],"complex":[73],"scenarios,":[74],"especially":[75],"scenarios":[77],"with":[78,204],"similar":[79,131],"background":[80,82,132,134],"interference,":[81,133],"clutter,":[83,135],"etc.,":[84],"drift":[86],"phenomena":[87],"are":[88],"prone":[89],"to":[90,126,146,190,240],"occur.":[91],"To":[92],"address":[93],"these":[94],"issues,":[95],"this":[96],"paper":[97],"proposes":[98],"distortion-aware":[100],"dynamic":[101,116],"spatiotemporal":[102],"regularized":[103],"(DADSTRCF)":[109],"Auto":[112,243],"Track.":[113],"Firstly,":[114],"spatial":[117],"regularization":[118],"term":[119],"is":[120,144,161,177,188],"constructed":[121],"color":[124],"histograms":[125],"alleviate":[127],"effects":[129],"boundary":[137],"effects.":[138],"Secondly,":[139],"distortion":[141,151],"perception":[142],"function":[143],"proposed":[145],"determine":[147],"degree":[149],"current":[154],"frame":[155],"target,":[156],"Kalman":[159,175],"filter":[160,176,194],"integrated":[162],"into":[163],"relevant":[165],"framework.":[167],"When":[168],"undergoes":[171],"severe":[172],"distortion,":[173],"switched":[178],"for":[179],"Then,":[181],"alternating":[183],"direction":[184],"multiplier":[185],"method":[186],"(ADMM)":[187],"used":[189],"obtain":[191],"optimal":[193],"solution,":[195],"reducing":[196],"computational":[197],"complexity.":[198],"Finally,":[199],"comparative":[200],"experiments":[201],"were":[202],"conducted":[203],"various":[205],"correlated":[206],"four":[213],"datasets":[214],"OTB-50,":[216],"OTB-100,":[217],"UAV123,":[218],"DTB70.":[220],"experimental":[222],"results":[223],"showed":[224],"that":[225],"precision":[228],"DADSTRCF":[230],"improved":[231,249],"by":[232,250],"6.3%,":[233],"8.4%,":[234],"2.0%,":[235],"6.4%,":[237],"respectively,":[238,256],"compared":[239],"baseline":[242],"Track,":[244],"success":[247],"rate":[248],"9.3%,":[251,252],"2.5%,":[253],"3.9%,":[255],"fully":[257],"demonstrating":[258],"effectiveness":[260],"DADSTRCF.":[262]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}