{"id":"https://openalex.org/W2892640337","doi":"https://doi.org/10.1109/lsp.2018.2872679","title":"Motion Correlation Discovery for Visual Tracking","display_name":"Motion Correlation Discovery for Visual Tracking","publication_year":2018,"publication_date":"2018-09-28","ids":{"openalex":"https://openalex.org/W2892640337","doi":"https://doi.org/10.1109/lsp.2018.2872679","mag":"2892640337"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2018.2872679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2872679","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5100641047","display_name":"Weijun Zhang","orcid":"https://orcid.org/0000-0002-2053-9762"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijun Zhang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2053-9762","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026169204","display_name":"Sheng Zhong","orcid":"https://orcid.org/0000-0003-2865-8202"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhong","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036881888","display_name":"Wenhui Xu","orcid":"https://orcid.org/0000-0002-5947-2710"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Xu","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101780958","display_name":"Ying Wu","orcid":"https://orcid.org/0009-0001-6768-5118"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Wu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4162,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67242809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"25","issue":"11","first_page":"1720","last_page":"1724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8149244785308838},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7403663396835327},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7389611005783081},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6855747699737549},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6144497990608215},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5593727827072144},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5569347739219666},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5049641728401184},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4785069525241852},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.44443172216415405},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.43075618147850037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3999141752719879}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8149244785308838},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7403663396835327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7389611005783081},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6855747699737549},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6144497990608215},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5593727827072144},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5569347739219666},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5049641728401184},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4785069525241852},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.44443172216415405},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.43075618147850037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3999141752719879},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2018.2872679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2872679","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.46000000834465027,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W181493107","https://openalex.org/W182940129","https://openalex.org/W1551898955","https://openalex.org/W1560733133","https://openalex.org/W1854404533","https://openalex.org/W1857884451","https://openalex.org/W1904671147","https://openalex.org/W1982147284","https://openalex.org/W1997121481","https://openalex.org/W2022515186","https://openalex.org/W2026400262","https://openalex.org/W2049244691","https://openalex.org/W2051385649","https://openalex.org/W2062962093","https://openalex.org/W2072348815","https://openalex.org/W2080196242","https://openalex.org/W2084262241","https://openalex.org/W2098854771","https://openalex.org/W2130026429","https://openalex.org/W2139047213","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2165700088","https://openalex.org/W2210596465","https://openalex.org/W2295628903","https://openalex.org/W2343187456","https://openalex.org/W2469582947","https://openalex.org/W2470394683","https://openalex.org/W2473868734","https://openalex.org/W2518013266","https://openalex.org/W2557641257","https://openalex.org/W2576085163","https://openalex.org/W2594566999","https://openalex.org/W2609364221","https://openalex.org/W2609910506","https://openalex.org/W2916780012","https://openalex.org/W2917435394","https://openalex.org/W2964111344","https://openalex.org/W2992370539","https://openalex.org/W3101525822","https://openalex.org/W3102624093","https://openalex.org/W6607209805","https://openalex.org/W6607635097","https://openalex.org/W6633008415","https://openalex.org/W6633795679","https://openalex.org/W6638969170","https://openalex.org/W6638992375","https://openalex.org/W6639878047","https://openalex.org/W6655899030","https://openalex.org/W6666582163","https://openalex.org/W6671363292","https://openalex.org/W6674919377","https://openalex.org/W6679027886","https://openalex.org/W6684090757","https://openalex.org/W6686768265","https://openalex.org/W6688123204","https://openalex.org/W6697222930","https://openalex.org/W6720295222","https://openalex.org/W6720898849","https://openalex.org/W6721098162","https://openalex.org/W6726293469","https://openalex.org/W6732675874","https://openalex.org/W6785727887"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2156669420","https://openalex.org/W2154918876","https://openalex.org/W3034182891","https://openalex.org/W4253668313","https://openalex.org/W2130582613"],"abstract_inverted_index":{"Motion":[0],"information":[1],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6,16,54],"identifying":[7],"moving":[8],"objects,":[9],"which":[10],"has":[11],"not":[12],"been":[13],"well":[14],"utilized":[15],"state-of-the-art":[17,121],"tracking":[18,30,122],"algorithms.":[19],"In":[20],"this":[21],"letter,":[22],"we":[23],"propose":[24],"a":[25],"unified":[26],"framework":[27],"integrating":[28],"two":[29],"problems,":[31],"i.e.,":[32],"pixel-level":[33,100],"foreground":[34,101],"probabilistic":[35,102],"inference":[36],"and":[37,50,69,74,77,90,116],"motion":[38,44,52],"parameter":[39],"estimation.":[40],"Our":[41],"model":[42],"employs":[43],"fields":[45],"to":[46,58,81,120],"propagate":[47],"probability":[48],"forward,":[49],"discovers":[51],"patterns":[53],"the":[55,62,91,99,108],"spatial":[56],"domain":[57],"distinguish":[59],"targets":[60,89],"from":[61,98],"background.":[63,92],"It":[64],"takes":[65],"advantage":[66],"of":[67,71],"continuity":[68],"inertia":[70],"both":[72],"target":[73],"camera":[75],"motion,":[76],"provides":[78],"reliable":[79],"evidence":[80],"resolve":[82],"confusion":[83],"caused":[84],"by":[85],"appearance":[86],"similarity":[87],"between":[88],"Target":[93],"localization":[94],"is":[95],"effectively":[96],"achieved":[97],"map.":[103],"Experimental":[104],"results":[105],"demonstrate":[106],"that":[107],"proposed":[109],"method":[110,115],"significantly":[111],"improves":[112],"our":[113],"baseline":[114],"achieves":[117],"performance":[118],"comparable":[119],"methods":[123],"with":[124],"more":[125],"complex":[126],"features.":[127]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
