{"id":"https://openalex.org/W2968372436","doi":"https://doi.org/10.18293/seke2019-149","title":"A Robust Visual Tracker Based on DCF Algorithm","display_name":"A Robust Visual Tracker Based on DCF Algorithm","publication_year":2019,"publication_date":"2019-07-10","ids":{"openalex":"https://openalex.org/W2968372436","doi":"https://doi.org/10.18293/seke2019-149","mag":"2968372436"},"language":"en","primary_location":{"id":"doi:10.18293/seke2019-149","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2019-149","pdf_url":"https://doi.org/10.18293/seke2019-149","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2019-149","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 Beijing 100044, China","School of Software Engineering Beijing Jiaotong University Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science Beijing Jiaotong University Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Software Engineering Beijing Jiaotong University Beijing 100044, China","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":true,"raw_author_name":"Weibin Liu","raw_affiliation_strings":["Institute of Information Science Beijing Jiaotong University Beijing 100044, China","School of Software Engineering Beijing Jiaotong University Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science Beijing Jiaotong University Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Software Engineering Beijing Jiaotong University Beijing 100044, China","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":["Institute of Information Science Beijing Jiaotong University Beijing 100044, China","School of Software Engineering Beijing Jiaotong University Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science Beijing Jiaotong University Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Software Engineering Beijing Jiaotong University Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101917066"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08003547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2019","issue":null,"first_page":"624","last_page":"629"},"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":0.9336000084877014,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9322999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7721409797668457},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7351008057594299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6762170195579529},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5982661247253418},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5816052556037903},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5673301815986633},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.550177812576294},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43583399057388306},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39248576760292053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3387101888656616},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.16758397221565247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7721409797668457},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7351008057594299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6762170195579529},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5982661247253418},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5816052556037903},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5673301815986633},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.550177812576294},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43583399057388306},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39248576760292053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3387101888656616},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.16758397221565247},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2019-149","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2019-149","pdf_url":"https://doi.org/10.18293/seke2019-149","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2019-149","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2019-149","pdf_url":"https://doi.org/10.18293/seke2019-149","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2968372436.pdf","grobid_xml":"https://content.openalex.org/works/W2968372436.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W182940129","https://openalex.org/W818325216","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2044986361","https://openalex.org/W2098941887","https://openalex.org/W2124211486","https://openalex.org/W2145201922","https://openalex.org/W2154889144","https://openalex.org/W2162349892","https://openalex.org/W2557641257","https://openalex.org/W2962864296","https://openalex.org/W2964111344","https://openalex.org/W6601487527"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4312219546","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W2971551846","https://openalex.org/W2965594636"],"abstract_inverted_index":{"Since":[0],"Correlation":[1,21,49,153],"Filter":[2,22,50,154],"appeared":[3],"in":[4,29,47,115,172],"the":[5,48,56,59,61,72,75,80,86,90,100,103,108,112,128,133,137,151,159,169,184,187],"field":[6],"of":[7,31,58,74,89,102,111,186],"video":[8],"object":[9,170],"tracking,":[10],"it":[11],"is":[12,68,121],"great":[13],"popular":[14],"due":[15],"to":[16,106,123,168,182],"its":[17],"excellent":[18],"performance.":[19],"The":[20],"based":[23,51,155],"tracking":[24,52,119,156],"algorithms":[25,157],"are":[26,41],"very":[27,69],"competitive":[28],"terms":[30],"accuracy":[32],"and":[33],"speed":[34],"as":[35,37,136],"well":[36],"robustness.":[38],"However,":[39],"there":[40],"still":[42],"some":[43,116],"fields":[44],"for":[45],"improvement":[46],"algorithms.":[53],"First,":[54],"during":[55],"training":[57],"classifier,":[60],"background":[62,81,97,134],"information":[63,98,135],"that":[64],"can":[65],"be":[66,131],"utilized":[67],"limited.":[70],"Moreover,":[71],"introduction":[73],"cosine":[76],"window":[77],"further":[78],"reduces":[79],"information.":[82],"These":[83],"reasons":[84],"reduce":[85],"discriminating":[87,109],"power":[88],"classifier.":[91,113],"This":[92,174],"paper":[93,144,175],"introduces":[94],"more":[95],"global":[96],"on":[99],"basis":[101],"DCF":[104],"tracker":[105,129],"improve":[107,183],"ability":[110],"Then,":[114],"complex":[117],"scenes,":[118],"loss":[120],"easy":[122],"occur.":[124],"At":[125],"this":[126,141,143],"point,":[127],"will":[130],"treated":[132],"object.":[138],"To":[139],"solve":[140],"problem,":[142],"proposes":[145,176],"a":[146],"novel":[147],"re-detection":[148],"component.":[149],"Finally,":[150],"current":[152],"use":[158],"linear":[160],"interpolation":[161],"model":[162,179],"update":[163,180],"method,":[164],"which":[165],"cannot":[166],"adapt":[167],"changes":[171],"time.":[173],"an":[177],"adaptive":[178],"strategy":[181],"robustness":[185],"tracker.":[188]},"counts_by_year":[],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
