{"id":"https://openalex.org/W2582268808","doi":null,"title":"Scale-adaptive Local Patches for Robust Visual Object Tracking","display_name":"Scale-adaptive Local Patches for Robust Visual Object Tracking","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2582268808","mag":"2582268808"},"language":"en","primary_location":{"id":"pmh:oai:doaj.org/article:56ff0ca9274542538a756642c9b503b6","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/56ff0ca9274542538a756642c9b503b6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors &amp; Transducers, Vol 169, Iss 4, Pp 25-32 (2014)","raw_type":"article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/56ff0ca9274542538a756642c9b503b6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101596085","display_name":"Kang Sun","orcid":"https://orcid.org/0000-0003-2318-2794","observed_orcids":["https://orcid.org/0000-0003-2318-2794"]},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Sun","raw_affiliation_strings":["School of Electrical Engineering and Automation, Henan Polytechnic University Jiaozuo, 454000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Henan Polytechnic University Jiaozuo, 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100461519","display_name":"Xinwei Li","orcid":"https://orcid.org/0000-0003-0911-5130","observed_orcids":["https://orcid.org/0000-0003-0911-5130"]},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Li","raw_affiliation_strings":["School of Electrical Engineering and Automation, Henan Polytechnic University Jiaozuo, 454000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Henan Polytechnic University Jiaozuo, 454000, China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.00019999999494757503,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":9.999999747378752e-05,"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/visual-tracking","display_name":"visual object tracking","score":0.9909999966621399},{"id":"https://openalex.org/keywords/scale-variation","display_name":"scale variation","score":0.8100000023841858},{"id":"https://openalex.org/keywords/local-patches","display_name":"local patches","score":0.800000011920929},{"id":"https://openalex.org/keywords/geometric-deformation","display_name":"geometric deformation","score":0.7509999871253967},{"id":"https://openalex.org/keywords/color-and-texture-features","display_name":"color and texture features","score":0.6639999747276306},{"id":"https://openalex.org/keywords/movement-characteristics","display_name":"motion features","score":0.7879999876022339}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.759536623954773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6956198215484619},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.612206220626831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5867950320243835},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5566702485084534},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5530986785888672},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.503135621547699},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4928760528564453},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1964411437511444},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.14208176732063293},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1342121958732605},{"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":"pmh:oai:doaj.org/article:56ff0ca9274542538a756642c9b503b6","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/56ff0ca9274542538a756642c9b503b6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors &amp; Transducers, Vol 169, Iss 4, Pp 25-32 (2014)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:56ff0ca9274542538a756642c9b503b6","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/56ff0ca9274542538a756642c9b503b6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors &amp; Transducers, Vol 169, Iss 4, Pp 25-32 (2014)","raw_type":"article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1513768190","https://openalex.org/W1677409904","https://openalex.org/W1971616954","https://openalex.org/W1987178381","https://openalex.org/W1995903777","https://openalex.org/W2000326692","https://openalex.org/W2001785244","https://openalex.org/W2007985268","https://openalex.org/W2035379092","https://openalex.org/W2098854771","https://openalex.org/W2106481697","https://openalex.org/W2109579504","https://openalex.org/W2117228865","https://openalex.org/W2121193292","https://openalex.org/W2124211486","https://openalex.org/W2139047213","https://openalex.org/W2151103935","https://openalex.org/W2159686856","https://openalex.org/W2165037244","https://openalex.org/W2168300411","https://openalex.org/W2168802423","https://openalex.org/W2759765309"],"related_works":["https://openalex.org/W2140595412","https://openalex.org/W2126108553","https://openalex.org/W2955640934","https://openalex.org/W2335613506","https://openalex.org/W2065335387","https://openalex.org/W2512493063","https://openalex.org/W2078511459","https://openalex.org/W2181772633","https://openalex.org/W2886745679","https://openalex.org/W2898786283"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"the":[3,18,49,52,60,64,81,97,110,118,157],"problem":[4],"of":[5,20,43,75,112],"robustly":[6],"tracking":[7],"objects":[8],"which":[9],"undergo":[10],"rapid":[11],"and":[12,33,70,88,151],"dramatic":[13],"scale":[14,106,111],"changes.":[15],"To":[16,103],"remove":[17],"weakness":[19],"global":[21,32,82,91,152],"appearance":[22,35],"models,":[23],"we":[24,108],"present":[25],"a":[26,41],"novel":[27],"scheme":[28],"that":[29,46],"combines":[30],"object\u2019s":[31,61],"local":[34,38,44,65,99,149],"features.":[36],"The":[37,73,90,137],"feature":[39],"is":[40,78],"set":[42],"patches":[45,66,77,100,113,150],"geometrically":[47],"constrain":[48],"changes":[50],"in":[51,114,160],"target\u2019s":[53],"appearance.":[54],"In":[55],"order":[56],"to":[57,59,116,129],"adapt":[58,109],"geometric":[62],"deformation,":[63],"could":[67],"be":[68],"removed":[69],"added":[71],"online.":[72],"addition":[74,115],"these":[76],"constrained":[79],"by":[80,126,145,163],"features":[83,93],"such":[84],"as":[85,168,170],"color,":[86],"texture":[87],"motion.":[89],"visual":[92],"are":[94],"updated":[95],"via":[96],"stable":[98],"during":[101],"tracking.":[102],"deal":[104],"with":[105],"changes,":[107],"adapting":[117],"object":[119],"bound":[120],"box.":[121],"We":[122],"evaluate":[123],"our":[124,154],"method":[125],"comparing":[127],"it":[128],"several":[130],"state-of-the-art":[131],"trackers":[132,159],"on":[133,140],"publicly":[134],"available":[135],"datasets.":[136],"experimental":[138],"results":[139],"challenging":[141],"sequences":[142],"confirm":[143],"that,":[144],"using":[146],"this":[147],"scale-adaptive":[148],"properties,":[153],"tracker":[155],"outperforms":[156],"related":[158],"many":[161],"cases":[162],"having":[164],"smaller":[165],"failure":[166],"rate":[167],"well":[169],"better":[171],"accuracy.":[172]},"counts_by_year":[],"updated_date":"2026-05-06T06:10:43.113611","created_date":"2017-02-03T00:00:00"}
