{"id":"https://openalex.org/W3038946636","doi":"https://doi.org/10.1109/tcsvt.2020.3006110","title":"Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination","display_name":"Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination","publication_year":2020,"publication_date":"2020-06-30","ids":{"openalex":"https://openalex.org/W3038946636","doi":"https://doi.org/10.1109/tcsvt.2020.3006110","mag":"3038946636"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.3006110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3006110","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/A5100387149","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0002-4937-6784"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ning Wang","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046805800","display_name":"Wengang Zhou","orcid":"https://orcid.org/0000-0003-1690-9836"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wengang Zhou","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393506","display_name":"Qi Tian","orcid":"https://orcid.org/0000-0002-7252-5047"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["Huawei Cloud and AI, Huawei Technologies Company Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Cloud and AI, Huawei Technologies Company Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078141810","display_name":"Houqiang Li","orcid":"https://orcid.org/0000-0003-2188-3028"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houqiang Li","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100387149"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.4907,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.65761987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"31","issue":"4","first_page":"1580","last_page":"1592"},"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9771000146865845,"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/robustness","display_name":"Robustness (evolution)","score":0.7599201202392578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.753387987613678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6407352685928345},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6107727289199829},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6025479435920715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43402034044265747},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43116217851638794},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42675432562828064},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37858855724334717},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18108326196670532},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14508184790611267}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7599201202392578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.753387987613678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6407352685928345},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6107727289199829},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6025479435920715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43402034044265747},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43116217851638794},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42675432562828064},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37858855724334717},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18108326196670532},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14508184790611267},{"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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2020.3006110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3006110","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":[{"display_name":"Peace, Justice and strong institutions","score":0.75,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2262853887","display_name":null,"funder_award_id":"61836011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6191007303","display_name":null,"funder_award_id":"2018497","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G6697701469","display_name":null,"funder_award_id":"61822208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6862244890","display_name":null,"funder_award_id":"61632019","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"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1857884451","https://openalex.org/W1861492603","https://openalex.org/W1915785815","https://openalex.org/W1955514522","https://openalex.org/W1955741794","https://openalex.org/W1997121481","https://openalex.org/W2037495825","https://openalex.org/W2089961441","https://openalex.org/W2124211486","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2159686933","https://openalex.org/W2168356304","https://openalex.org/W2194775991","https://openalex.org/W2214352687","https://openalex.org/W2408241409","https://openalex.org/W2421627342","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2518876086","https://openalex.org/W2520438127","https://openalex.org/W2557641257","https://openalex.org/W2558899534","https://openalex.org/W2599547527","https://openalex.org/W2605173812","https://openalex.org/W2610871254","https://openalex.org/W2613718673","https://openalex.org/W2681067697","https://openalex.org/W2740685955","https://openalex.org/W2776035257","https://openalex.org/W2794669410","https://openalex.org/W2794744029","https://openalex.org/W2797812763","https://openalex.org/W2798842862","https://openalex.org/W2799058067","https://openalex.org/W2886904239","https://openalex.org/W2886910176","https://openalex.org/W2888456413","https://openalex.org/W2891033863","https://openalex.org/W2891378778","https://openalex.org/W2897666265","https://openalex.org/W2898200825","https://openalex.org/W2913466142","https://openalex.org/W2927438889","https://openalex.org/W2937749627","https://openalex.org/W2953106684","https://openalex.org/W2954137266","https://openalex.org/W2955747520","https://openalex.org/W2955983623","https://openalex.org/W2956216476","https://openalex.org/W2962824803","https://openalex.org/W2963030525","https://openalex.org/W2963070905","https://openalex.org/W2963074722","https://openalex.org/W2963227409","https://openalex.org/W2963253279","https://openalex.org/W2963471260","https://openalex.org/W2963534981","https://openalex.org/W2963732700","https://openalex.org/W2963854930","https://openalex.org/W2964069521","https://openalex.org/W2964111344","https://openalex.org/W2964121744","https://openalex.org/W2964242925","https://openalex.org/W2964253307","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2985509612","https://openalex.org/W2987460522","https://openalex.org/W2997599718","https://openalex.org/W2998027361","https://openalex.org/W3001584168","https://openalex.org/W3023174223","https://openalex.org/W3097975277","https://openalex.org/W3102624093","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6649598916","https://openalex.org/W6703518758","https://openalex.org/W6720898849","https://openalex.org/W6726293469","https://openalex.org/W6726654379","https://openalex.org/W6740332996","https://openalex.org/W6748907736","https://openalex.org/W6749682181","https://openalex.org/W6749967772","https://openalex.org/W6753610190","https://openalex.org/W6753818355","https://openalex.org/W6754142767","https://openalex.org/W6754389880","https://openalex.org/W6754991760","https://openalex.org/W6755863804","https://openalex.org/W6759215614","https://openalex.org/W6765516746"],"related_works":["https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W2312753042","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W3174513558","https://openalex.org/W2114200869"],"abstract_inverted_index":{"Visual":[0],"can":[1],"be":[2],"easily":[3],"disturbed":[4],"by":[5],"similar":[6],"surrounding":[7],"objects.":[8],"Such":[9],"objects":[10],"as":[11,96],"hard":[12,92,118],"distractors,":[13],"even":[14],"though":[15],"being":[16],"the":[17,23,43,60,76,89,105,112,117,130,134],"minority":[18],"among":[19],"negative":[20,68,119],"samples,":[21,93],"increase":[22],"risk":[24],"of":[25,99,133],"target":[26],"drift":[27],"and":[28,38,102,122,157],"model":[29,39,113],"corruption,":[30],"which":[31,94],"deserve":[32],"additional":[33],"attention":[34],"in":[35,46,170],"online":[36],"tracking":[37,44,144],"update.":[40],"To":[41],"enhance":[42],"robustness,":[45],"this":[47],"paper,":[48],"we":[49,63,115],"propose":[50],"a":[51,79,171],"cascaded":[52],"regression":[53,84,126],"tracker":[54],"with":[55],"two":[56],"sequential":[57],"stages.":[58],"In":[59,75],"first":[61],"stage,":[62,78],"filter":[64],"out":[65],"abundant":[66],"easily-identified":[67],"candidates":[69],"via":[70],"an":[71,97,123],"efficient":[72,109],"convolutional":[73],"regression.":[74],"second":[77],"discrete":[80],"sampling":[81],"based":[82],"ridge":[83,125],"is":[85],"designed":[86],"to":[87,128],"double-check":[88],"remaining":[90],"ambiguous":[91],"serves":[95],"alternative":[98],"fully-connected":[100],"layers":[101],"benefits":[103],"from":[104],"closed-form":[106],"solver":[107],"for":[108],"learning.":[110],"During":[111],"update,":[114],"utilize":[116],"mining":[120],"technique":[121],"adaptive":[124],"scheme":[127],"improve":[129],"discrimination":[131],"capability":[132],"second-stage":[135],"regressor.":[136],"Extensive":[137],"experiments":[138],"are":[139],"conducted":[140],"on":[141,165],"11":[142],"challenging":[143],"benchmarks":[145],"including":[146],"OTB-2013,":[147],"OTB-2015,":[148],"VOT2018,":[149],"VOT2019,":[150],"UAV123,":[151],"Temple-Color,":[152],"NfS,":[153],"TrackingNet,":[154],"LaSOT,":[155],"UAV20L,":[156],"OxUvA.":[158],"The":[159],"proposed":[160],"method":[161],"achieves":[162],"state-of-the-art":[163],"performance":[164],"prevalent":[166],"benchmarks,":[167],"while":[168],"running":[169],"real-time":[172],"speed.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}