{"id":"https://openalex.org/W1937954682","doi":"https://doi.org/10.1109/cvpr.2015.7298632","title":"Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches","display_name":"Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1937954682","doi":"https://doi.org/10.1109/cvpr.2015.7298632","mag":"1937954682"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5100709798","display_name":"Yang Li","orcid":"https://orcid.org/0000-0001-9427-7665"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Li","raw_affiliation_strings":["College of Computer Science, Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062252650","display_name":"Jianke Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianke Zhu","raw_affiliation_strings":["College of Computer Science, Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074834854","display_name":"Steven C. H. Hoi","orcid":"https://orcid.org/0000-0002-4584-3453"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Steven C.H. Hoi","raw_affiliation_strings":["School of Information System, Singapore Management University","[School of information system, Singapore Management University, Singapore]"],"affiliations":[{"raw_affiliation_string":"School of Information System, Singapore Management University","institution_ids":["https://openalex.org/I79891267"]},{"raw_affiliation_string":"[School of information system, Singapore Management University, Singapore]","institution_ids":["https://openalex.org/I79891267"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100709798"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":37.9701,"has_fulltext":false,"cited_by_count":372,"citation_normalized_percentile":{"value":0.99779945,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"353","last_page":"361"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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":0.9909999966621399,"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/computer-science","display_name":"Computer science","score":0.8036925196647644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.708793580532074},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6968632340431213},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6582168936729431},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6526131629943848},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5628540515899658},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5459912419319153},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5292108654975891},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.4940043091773987},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4899141192436218},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4700153172016144},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4662543535232544},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.45959198474884033},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41662371158599854},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.311665415763855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2442696988582611}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8036925196647644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.708793580532074},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6968632340431213},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6582168936729431},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6526131629943848},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5628540515899658},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5459912419319153},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5292108654975891},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.4940043091773987},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4899141192436218},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4700153172016144},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4662543535232544},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.45959198474884033},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41662371158599854},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.311665415763855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2442696988582611},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2015.7298632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-3927","is_oa":false,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3927&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1109/CVPR.2015.7298632","raw_type":"Conference Proceeding Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W51025184","https://openalex.org/W134197611","https://openalex.org/W149327167","https://openalex.org/W161114242","https://openalex.org/W182940129","https://openalex.org/W818325216","https://openalex.org/W1483307070","https://openalex.org/W1504705434","https://openalex.org/W1532325895","https://openalex.org/W1649469042","https://openalex.org/W1789040716","https://openalex.org/W1964846093","https://openalex.org/W1993221692","https://openalex.org/W2005489441","https://openalex.org/W2016075127","https://openalex.org/W2016819856","https://openalex.org/W2022879247","https://openalex.org/W2027021064","https://openalex.org/W2030346542","https://openalex.org/W2031489346","https://openalex.org/W2044986361","https://openalex.org/W2049457635","https://openalex.org/W2070964418","https://openalex.org/W2073454732","https://openalex.org/W2089961441","https://openalex.org/W2098854771","https://openalex.org/W2098941887","https://openalex.org/W2099350109","https://openalex.org/W2105403175","https://openalex.org/W2108215708","https://openalex.org/W2110405746","https://openalex.org/W2117522688","https://openalex.org/W2118877769","https://openalex.org/W2121193292","https://openalex.org/W2136745795","https://openalex.org/W2139047213","https://openalex.org/W2151103935","https://openalex.org/W2151290401","https://openalex.org/W2154889144","https://openalex.org/W2156547441","https://openalex.org/W2162349892","https://openalex.org/W2162383208","https://openalex.org/W2183648259","https://openalex.org/W2186330282","https://openalex.org/W2915935370","https://openalex.org/W2986028972","https://openalex.org/W4213009331","https://openalex.org/W4285719527","https://openalex.org/W6606067837","https://openalex.org/W6606595081","https://openalex.org/W6607635097","https://openalex.org/W6623108133","https://openalex.org/W6630262351","https://openalex.org/W6637041998","https://openalex.org/W6675521158","https://openalex.org/W6677548441","https://openalex.org/W6679027886","https://openalex.org/W6680269927","https://openalex.org/W6683886257","https://openalex.org/W6686234685"],"related_works":["https://openalex.org/W3036550512","https://openalex.org/W3015973434","https://openalex.org/W2274330372","https://openalex.org/W2094872030","https://openalex.org/W2016344656","https://openalex.org/W2013820100","https://openalex.org/W2592297120","https://openalex.org/W2583890343","https://openalex.org/W4315474202","https://openalex.org/W4297153989"],"abstract_inverted_index":{"Most":[0],"modern":[1],"trackers":[2],"typically":[3],"employ":[4],"a":[5,32,62,70,76,89,127,142],"bounding":[6],"box":[7],"given":[8],"in":[9,156],"the":[10,25,46,55,83,95,100,104,111,114,121,135,149,159],"first":[11],"frame":[12],"to":[13,24,42,66,81,107,133,158],"track":[14],"visual":[15,115],"objects,":[16],"where":[17,75,126],"their":[18],"tracking":[19,34,57,63],"results":[20,140],"are":[21],"often":[22],"sensitive":[23],"initialization.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30,60,102],"propose":[31],"new":[33],"method,":[35],"Reliable":[36],"Patch":[37],"Trackers":[38],"(RPT),":[39],"which":[40],"attempts":[41],"identify":[43],"and":[44,155],"exploit":[45,103],"reliable":[47,86,96],"patches":[48,87,97],"that":[49,148],"can":[50,72,117],"be":[51,73,118,170],"tracked":[52],"effectively":[53],"through":[54],"whole":[56],"process.":[58],"Specifically,":[59],"present":[61],"reliability":[64],"metric":[65],"measure":[67],"how":[68],"reliably":[69],"patch":[71],"tracked,":[74],"probability":[77],"model":[78],"is":[79,131,152],"proposed":[80,150],"estimate":[82,134],"distribution":[84],"of":[85,123,145,166],"under":[88],"sequential":[90],"Monte":[91],"Carlo":[92],"framework.":[93],"As":[94],"distributed":[98],"over":[99],"image,":[101],"motion":[105],"trajectories":[106],"distinguish":[108],"them":[109],"from":[110],"background.":[112],"Therefore,":[113],"object":[116],"defined":[119],"as":[120],"clustering":[122],"homo-trajectory":[124],"patches,":[125],"Hough":[128],"voting-like":[129],"scheme":[130],"employed":[132],"target":[136],"state.":[137],"Encouraging":[138],"experimental":[139],"on":[141],"large":[143],"set":[144],"sequences":[146],"showed":[147],"approach":[151],"very":[153],"effective":[154],"comparison":[157],"state-of-the-art":[160],"trackers.":[161],"The":[162],"full":[163],"source":[164],"code":[165],"our":[167],"implementation":[168],"will":[169],"publicly":[171],"available.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":50},{"year":2019,"cited_by_count":65},{"year":2018,"cited_by_count":87},{"year":2017,"cited_by_count":69},{"year":2016,"cited_by_count":43},{"year":2015,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}