{"id":"https://openalex.org/W2765269611","doi":"https://doi.org/10.1109/icinfa.2017.8078891","title":"Robust visual tracking based on kernelized correlation filters","display_name":"Robust visual tracking based on kernelized correlation filters","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2765269611","doi":"https://doi.org/10.1109/icinfa.2017.8078891","mag":"2765269611"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2017.8078891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2017.8078891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-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/A5065195800","display_name":"Min Jiang","orcid":"https://orcid.org/0000-0003-3826-6405"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Jiang","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, P. R. China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033432543","display_name":"Jianyu Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyu Shen","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, P. R. China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005068793","display_name":"Jun Kong","orcid":"https://orcid.org/0000-0003-2551-4748"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]},{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Kong","raw_affiliation_strings":["College of Electrical Engineering, Xinjiang University, Urumqi, P. R. China","Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Xinjiang University, Urumqi, P. R. China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, P. R. China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051567424","display_name":"Benxuan Wang","orcid":"https://orcid.org/0000-0001-5788-3869"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benxuan Wang","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, P. R. China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065195800"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1458289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"157","issue":null,"first_page":"110","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9876000285148621,"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":0.9822999835014343,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7775608897209167},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7749659419059753},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6854767203330994},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6452449560165405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6406340599060059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6402332782745361},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5769039988517761},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5047096014022827},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4876011908054352},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3986544609069824},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3886844217777252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22691994905471802},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11545807123184204}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7775608897209167},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7749659419059753},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6854767203330994},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6452449560165405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6406340599060059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6402332782745361},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5769039988517761},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5047096014022827},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4876011908054352},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3986544609069824},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3886844217777252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22691994905471802},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11545807123184204},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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:10.1109/icinfa.2017.8078891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2017.8078891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W1908905119","https://openalex.org/W1937954682","https://openalex.org/W1955514522","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1981219153","https://openalex.org/W2048506041","https://openalex.org/W2054962908","https://openalex.org/W2060814785","https://openalex.org/W2089961441","https://openalex.org/W2100556411","https://openalex.org/W2154889144","https://openalex.org/W2518013266","https://openalex.org/W2520438127","https://openalex.org/W2986028972","https://openalex.org/W3102624093","https://openalex.org/W6606595081","https://openalex.org/W6726293469"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W178060743","https://openalex.org/W2126676984","https://openalex.org/W2909390414","https://openalex.org/W2954509079","https://openalex.org/W3104472694","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W1765993298"],"abstract_inverted_index":{"Recently,":[0],"kernelized":[1,28,115],"correlation":[2,29,116,127],"Filter-based":[3],"trackers":[4],"have":[5],"aroused":[6],"the":[7,17,22,35,38,57,60,71,76,91,108],"interest":[8],"of":[9,19,37,59,73,97,103,110],"many":[10],"researchers":[11],"and":[12,41,55],"achieved":[13],"good":[14],"results":[15,99],"in":[16,45,75,100],"field":[18],"tracking.":[20],"However,":[21],"current":[23],"tracking":[24,61,92,112],"model":[25],"based":[26,113],"on":[27,114],"filters":[30,117],"can":[31],"not":[32],"deal":[33],"with":[34],"changes":[36],"target":[39],"appearance":[40],"scale":[42,83,88],"effectively.":[43],"Therefore,":[44],"this":[46],"paper,":[47],"we":[48],"intend":[49],"to":[50,69],"solve":[51],"these":[52],"two":[53],"problems":[54],"improve":[56],"robustness":[58,109],"method.":[62],"Two":[63],"robust":[64,124],"loss":[65],"functions":[66],"are":[67],"offered":[68],"address":[70],"problem":[72],"overfitting":[74],"training":[77],"process.":[78,93],"In":[79],"addition,":[80],"a":[81,101],"separate":[82],"filter":[84],"is":[85],"learned":[86],"for":[87],"estimation":[89],"during":[90],"A":[94],"large":[95],"number":[96],"experimental":[98],"variety":[102],"complex":[104],"environments":[105],"demonstrate":[106],"that":[107],"visual":[111],"has":[118],"been":[119],"greatly":[120],"improved":[121],"by":[122],"our":[123],"collaborative":[125],"regularization":[126],"model.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}