{"id":"https://openalex.org/W3023760058","doi":"https://doi.org/10.1145/3293353.3293428","title":"Bag of Visual Words based Correlation Filter Tracker (BoVW-CFT)","display_name":"Bag of Visual Words based Correlation Filter Tracker (BoVW-CFT)","publication_year":2018,"publication_date":"2018-12-18","ids":{"openalex":"https://openalex.org/W3023760058","doi":"https://doi.org/10.1145/3293353.3293428","mag":"3023760058"},"language":"en","primary_location":{"id":"doi:10.1145/3293353.3293428","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293353.3293428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","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/A5049682416","display_name":"Priya Mariam Raju","orcid":"https://orcid.org/0000-0002-3203-0226"},"institutions":[{"id":"https://openalex.org/I882761360","display_name":"Indian Institute of Space Science and Technology","ror":"https://ror.org/05k37ht14","country_code":"IN","type":"education","lineage":["https://openalex.org/I882761360"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Priya Mariam Raju","raw_affiliation_strings":["Indian Institute of Space Science and Technology, Thiruvananthapuram, Kerala"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Space Science and Technology, Thiruvananthapuram, Kerala","institution_ids":["https://openalex.org/I882761360"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086817031","display_name":"Deepak Mishra","orcid":"https://orcid.org/0000-0001-6532-942X"},"institutions":[{"id":"https://openalex.org/I882761360","display_name":"Indian Institute of Space Science and Technology","ror":"https://ror.org/05k37ht14","country_code":"IN","type":"education","lineage":["https://openalex.org/I882761360"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepak Mishra","raw_affiliation_strings":["Indian Institute of Space Science and Technology, Thiruvananthapuram, Kerala"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Space Science and Technology, Thiruvananthapuram, Kerala","institution_ids":["https://openalex.org/I882761360"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103924248","display_name":"Gorthi Rama Krishna Sai Subrahmanyam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gorthi Rama Krishna Sai Subrahmanyam","raw_affiliation_strings":["Indian Institute of Technology, Tirupati, Andhra Pradesh"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Tirupati, Andhra Pradesh","institution_ids":["https://openalex.org/I4210109292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049682416"],"corresponding_institution_ids":["https://openalex.org/I882761360"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.26109508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8526993989944458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7902429103851318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7220535278320312},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6399492025375366},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6380605697631836},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6231473684310913},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5701111555099487},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5391144752502441},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5261670351028442},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.514502763748169},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4766051173210144},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.44975560903549194},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4486175775527954},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4463992714881897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4264986515045166},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.25111323595046997},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.15584149956703186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13031914830207825},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08106303215026855}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8526993989944458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7902429103851318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7220535278320312},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6399492025375366},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6380605697631836},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6231473684310913},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5701111555099487},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5391144752502441},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5261670351028442},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.514502763748169},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4766051173210144},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.44975560903549194},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4486175775527954},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4463992714881897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4264986515045166},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.25111323595046997},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.15584149956703186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13031914830207825},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08106303215026855},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3293353.3293428","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293353.3293428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1997121481","https://openalex.org/W2022346284","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2158827467","https://openalex.org/W2244956674","https://openalex.org/W2343187456","https://openalex.org/W2526468814","https://openalex.org/W3142799615","https://openalex.org/W3147929628","https://openalex.org/W4234552385","https://openalex.org/W4254373586","https://openalex.org/W4297792979","https://openalex.org/W4301409532","https://openalex.org/W6603612406","https://openalex.org/W6682922062"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2511178891","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":{"Accurate":[0],"and":[1,34,46,97,104,132,164,213,244,268,274,282],"robust":[2,247],"visual":[3],"object":[4,45],"tracking":[5,32,60,83,114,139,200],"is":[6,64,76,108,133,186,220],"one":[7,207],"of":[8,118,167,236,259],"the":[9,43,62,67,113,128,138,142,147,168,176,179,190,193,210,214,223,227,234,238,262],"most":[10],"challenging":[11],"computer":[12],"vision":[13],"problems.":[14],"Recently,":[15],"discriminative":[16],"correlation":[17,86,92,177,242],"filter":[18,87],"trackers":[19,93,243],"have":[20],"shown":[21],"promising":[22],"results":[23,255],"on":[24,272,287],"benchmark":[25],"datasets":[26],"with":[27,101,150,192,226],"continuous":[28],"performance":[29],"improvements":[30],"in":[31,85,91,112,137,146,175,241,261,266,270,276,280,284],"accuracy":[33,267],"robustness.":[35],"Still,":[36],"these":[37],"algorithms":[38],"fail":[39],"to":[40,58,69,81,160,183,188],"track":[41,70],"as":[42,110,184],"target":[44,63,173,195,218,229],"background":[47],"conditions":[48],"undergo":[49],"drastic":[50],"changes":[51],"over":[52],"time.":[53],"They":[54],"are":[55,94,205],"also":[56],"incapable":[57],"resume":[59],"once":[61],"lost,":[65],"limiting":[66],"ability":[68],"long":[71,251],"term.":[72,252],"The":[73,123,216,231],"proposed":[74,109,124,148],"BoVW-CFT":[75],"a":[77,172,246],"classifier-based":[78],"generic":[79],"technique":[80],"handle":[82],"uncertainties":[84],"trackers.":[88],"Tracking":[89],"failures":[90],"automatically":[95],"identified":[96],"an":[98,257],"image":[99],"classifier":[100],"training,":[102],"testing":[103],"online":[105,143],"update":[106],"stages":[107],"detector":[111,125],"scenario":[115],"using":[116,222],"Bag":[117],"Visual":[119],"Words":[120],"(BoVW)":[121],"features.":[122],"falls":[126],"under":[127],"parts":[129],"based":[130],"model":[131,152,239,248],"quite":[134],"well":[135],"suited":[136],"framework.":[140],"Further,":[141],"training":[144,154],"stage":[145],"framework":[149],"updated":[151],"or":[153],"samples,":[155],"incorporates":[156],"temporal":[157],"information,":[158],"helping":[159],"detect":[161],"rotated,":[162],"blurred":[163],"scaled":[165],"versions":[166],"target.":[169],"On":[170],"detecting":[171],"loss":[174],"tracker,":[178],"trained":[180],"classifier,":[181],"referred":[182],"detector,":[185],"invoked":[187],"re-initialize":[189],"tracker":[191,212],"actual":[194],"location.":[196],"Therefore,":[197],"for":[198],"each":[199,208],"uncertainty,":[201],"two":[202],"output":[203],"patches":[204],"obtained,":[206],"from":[209],"base":[211],"classifier.":[215],"final":[217],"location":[219],"estimated":[221],"normalized":[224],"cross-correlation":[225],"initial":[228],"patch.":[230],"method":[232],"has":[233],"advantages":[235],"mitigating":[237],"drift":[240],"learns":[245],"that":[249],"tracks":[250],"Extensive":[253],"experimental":[254],"demonstrate":[256],"improvement":[258],"4.1%":[260],"expected":[263],"overlap,":[264],"1.86%":[265],"15.46%":[269],"robustness":[271],"VOT2016":[273],"1.82%":[275],"overlap":[277],"precision,":[278],"2.32%":[279],"AUC":[281],"2.87%":[283],"success":[285],"rates":[286],"OTB100.":[288]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}