{"id":"https://openalex.org/W3006037060","doi":"https://doi.org/10.1142/s0218194019400230","title":"A Robust Visual Tracker Based on DCF Algorithm","display_name":"A Robust Visual Tracker Based on DCF Algorithm","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3006037060","doi":"https://doi.org/10.1142/s0218194019400230","mag":"3006037060"},"language":"en","primary_location":{"id":"doi:10.1142/s0218194019400230","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194019400230","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","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/A5000986005","display_name":"Menglei Jin","orcid":"https://orcid.org/0009-0009-5071-374X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menglei Jin","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, No. 3 Shangyuan Village, Haidian District, Beijing 100044, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, No. 3 Shangyuan Village, Haidian District, Beijing 100044, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101917066","display_name":"Weibin Liu","orcid":"https://orcid.org/0000-0001-6246-0051"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibin Liu","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, No. 3 Shangyuan Village, Haidian District, Beijing 100044, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, No. 3 Shangyuan Village, Haidian District, Beijing 100044, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007723033","display_name":"Weiwei Xing","orcid":"https://orcid.org/0000-0002-6378-926X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Xing","raw_affiliation_strings":["School of Software Engineering, Beijing Jiaotong University, No. 3 Shangyuan Village, Haidian District, Beijing 100044, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing Jiaotong University, No. 3 Shangyuan Village, Haidian District, Beijing 100044, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0993,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47459115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"29","issue":"11n12","first_page":"1819","last_page":"1834"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9404000043869019,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10812","display_name":"Human Pose and Action Recognition","score":0.9398000240325928,"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":0.7554548978805542},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7137138247489929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6634583473205566},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5824451446533203},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.574975848197937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5679826736450195},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.566672682762146},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4163006544113159},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39008551836013794},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3241698145866394},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.2699292302131653},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.15814578533172607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554548978805542},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7137138247489929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6634583473205566},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5824451446533203},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.574975848197937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5679826736450195},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.566672682762146},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4163006544113159},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39008551836013794},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3241698145866394},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2699292302131653},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.15814578533172607},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218194019400230","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194019400230","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G210926631","display_name":null,"funder_award_id":"61876018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W182940129","https://openalex.org/W1892578678","https://openalex.org/W1955514522","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2027714080","https://openalex.org/W2044986361","https://openalex.org/W2067007369","https://openalex.org/W2089961441","https://openalex.org/W2124211486","https://openalex.org/W2125907508","https://openalex.org/W2153110463","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2162349892","https://openalex.org/W2343187456","https://openalex.org/W2557641257","https://openalex.org/W2599547527","https://openalex.org/W2681067697","https://openalex.org/W2962864296","https://openalex.org/W2964111344","https://openalex.org/W3102624093"],"related_works":["https://openalex.org/W2318603563","https://openalex.org/W887692824","https://openalex.org/W2910635843","https://openalex.org/W2354419434","https://openalex.org/W2211021966","https://openalex.org/W2256387306","https://openalex.org/W2009959527","https://openalex.org/W3178626677","https://openalex.org/W4285271403","https://openalex.org/W2110357291"],"abstract_inverted_index":{"Since":[0],"Correlation":[1,21,48,151],"Filter":[2],"appeared":[3],"in":[4,28,46,113,169,199],"the":[5,47,54,57,59,70,73,78,84,88,98,101,106,110,126,131,135,149,156,166,181,184,195],"field":[6],"of":[7,30,56,72,87,100,109,183],"video":[8],"object":[9,167],"tracking,":[10],"it":[11],"is":[12,66,119,202],"very":[13,26,67],"popular":[14],"due":[15],"to":[16,104,121,165,179],"its":[17],"excellent":[18,204],"performance.":[19],"The":[20,186],"Filter-based":[22,49,152],"tracking":[23,50,117,153,196],"algorithms":[24,154],"are":[25,40],"competitive":[27],"terms":[29],"accuracy":[31],"and":[32],"speed":[33],"as":[34,36,134],"well":[35],"robustness.":[37],"However,":[38],"there":[39],"still":[41],"some":[42,114],"fields":[43],"for":[44],"improvement":[45],"algorithms.":[51],"First,":[52],"during":[53],"training":[55],"classifier,":[58],"background":[60,79,95,132],"information":[61,96,133],"that":[62,194],"can":[63,192],"be":[64,129],"utilized":[65],"limited.":[68],"Moreover,":[69],"introduction":[71],"cosine":[74],"window":[75],"further":[76],"reduces":[77],"information.":[80],"These":[81],"reasons":[82],"reduce":[83],"discriminating":[85,107],"power":[86],"classifier.":[89,111],"This":[90,171],"paper":[91,142,172,201],"introduces":[92,143],"more":[93],"global":[94],"on":[97,189],"basis":[99],"DCF":[102],"tracker":[103,127],"improve":[105,180],"ability":[108],"Then,":[112],"complex":[115],"scenes,":[116],"loss":[118],"easy":[120],"occur.":[122],"At":[123],"this":[124,139,141,200],"point,":[125],"will":[128],"treated":[130],"object.":[136],"To":[137],"solve":[138],"problem,":[140],"a":[144],"novel":[145],"re-detection":[146],"component.":[147],"Finally,":[148],"current":[150],"use":[155],"linear":[157],"interpolation":[158],"model":[159,176],"update":[160,177],"method,":[161],"which":[162],"cannot":[163],"adapt":[164],"changes":[168],"time.":[170],"proposes":[173],"an":[174,203],"adaptive":[175],"strategy":[178],"robustness":[182],"tracker.":[185],"experimental":[187],"results":[188],"multiple":[190],"datasets":[191],"show":[193],"algorithm":[197],"proposed":[198],"algorithm.":[205]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
