{"id":"https://openalex.org/W3089929293","doi":"https://doi.org/10.1109/icip40778.2020.9191129","title":"Object Tracking Via ImageNet Classification Scores","display_name":"Object Tracking Via ImageNet Classification Scores","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3089929293","doi":"https://doi.org/10.1109/icip40778.2020.9191129","mag":"3089929293"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9191129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100336188","display_name":"Li Wang","orcid":"https://orcid.org/0000-0003-1817-8213"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["Institute for Infocomm Research (I2R), A*STAR, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I2R), A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057382261","display_name":"Ting Liu","orcid":"https://orcid.org/0000-0003-3458-6567"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ting Liu","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382565","display_name":"Bing Wang","orcid":"https://orcid.org/0000-0003-4621-9115"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bing Wang","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030005076","display_name":"Jie Lin","orcid":"https://orcid.org/0000-0002-8971-0660"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jie Lin","raw_affiliation_strings":["Institute for Infocomm Research (I2R), A*STAR, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I2R), A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029757365","display_name":"Xulei Yang","orcid":"https://orcid.org/0000-0002-7002-4564"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xulei Yang","raw_affiliation_strings":["Institute for Infocomm Research (I2R), A*STAR, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I2R), A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032988165","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0002-1916-6110"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2101","last_page":"2105"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9717000126838684,"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":0.9690999984741211,"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":0.8245790600776672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7699575424194336},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7503178715705872},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6589211225509644},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6584771275520325},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6545191407203674},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6367219686508179},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5754430890083313},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5591539144515991},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5399731397628784},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.4555777609348297},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4486267864704132},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.431274950504303},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42676809430122375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2008991837501526}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8245790600776672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699575424194336},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7503178715705872},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6589211225509644},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6584771275520325},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6545191407203674},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6367219686508179},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5754430890083313},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5591539144515991},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5399731397628784},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.4555777609348297},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4486267864704132},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.431274950504303},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42676809430122375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2008991837501526},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9191129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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":53,"referenced_works":["https://openalex.org/W134197611","https://openalex.org/W182940129","https://openalex.org/W818325216","https://openalex.org/W1514810895","https://openalex.org/W1686810756","https://openalex.org/W1854404533","https://openalex.org/W1857884451","https://openalex.org/W1908905119","https://openalex.org/W1955514522","https://openalex.org/W1956687234","https://openalex.org/W1964846093","https://openalex.org/W1981219153","https://openalex.org/W1994762580","https://openalex.org/W1997121481","https://openalex.org/W2016075127","https://openalex.org/W2023640470","https://openalex.org/W2060814785","https://openalex.org/W2066757459","https://openalex.org/W2069332137","https://openalex.org/W2089961441","https://openalex.org/W2098854771","https://openalex.org/W2098941887","https://openalex.org/W2102605133","https://openalex.org/W2105403175","https://openalex.org/W2113577207","https://openalex.org/W2118097920","https://openalex.org/W2122528955","https://openalex.org/W2123361652","https://openalex.org/W2124211486","https://openalex.org/W2154889144","https://openalex.org/W2162383208","https://openalex.org/W2167089254","https://openalex.org/W2168117308","https://openalex.org/W2169177311","https://openalex.org/W2211629196","https://openalex.org/W2214352687","https://openalex.org/W2543696449","https://openalex.org/W2560610478","https://openalex.org/W2737572441","https://openalex.org/W2962824803","https://openalex.org/W2970449295","https://openalex.org/W6623108133","https://openalex.org/W6637373629","https://openalex.org/W6638992375","https://openalex.org/W6641057855","https://openalex.org/W6665839387","https://openalex.org/W6675521158","https://openalex.org/W6677384362","https://openalex.org/W6677907805","https://openalex.org/W6683886257","https://openalex.org/W6684712803","https://openalex.org/W6684872329","https://openalex.org/W6730468530"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W2070920257","https://openalex.org/W2012200063"],"abstract_inverted_index":{"Object":[0],"tracking":[1,19,63,69,94],"is":[2,37,102],"a":[3,61,98],"challenging":[4],"task":[5],"in":[6],"computer":[7],"vision.":[8],"The":[9],"correlation":[10,77],"filter":[11],"based":[12,42],"trackers":[13],"are":[14,79],"widely":[15],"used":[16],"for":[17,39,120],"visual":[18],"due":[20],"to":[21,91,104],"their":[22],"efficiencies.":[23],"However,":[24],"they":[25],"cannot":[26],"handle":[27],"occlusion":[28,40],"very":[29],"well.":[30],"In":[31,73],"this":[32],"paper,":[33],"an":[34],"effective":[35],"method":[36,64,116],"proposed":[38],"detection":[41],"on":[43,54],"high-level":[44],"classification":[45],"scores":[46],"from":[47],"the":[48,55,92,107],"Convolutional":[49],"Neural":[50],"Network":[51],"(CNN)":[52],"trained":[53,71,81],"ImageNet":[56],"dataset.":[57],"Also,":[58],"we":[59],"propose":[60],"novel":[62],"by":[65],"holistically":[66],"considering":[67],"multiple":[68,76],"models":[70],"previously.":[72],"each":[74],"frame,":[75],"filters":[78],"first":[80],"using":[82],"hierarchical":[83],"convolutional":[84],"features,":[85],"and":[86],"then":[87],"progressively":[88],"selected":[89],"according":[90],"so-called":[93],"quality":[95],"(status).":[96],"Finally,":[97],"linear":[99],"motion":[100],"model":[101],"adopted":[103],"effectively":[105],"re-detect":[106],"lost":[108],"target.":[109],"Experimental":[110],"results":[111],"have":[112],"demonstrated":[113],"that":[114],"our":[115],"achieved":[117],"good":[118],"performance":[119],"handling":[121],"occlusion.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
