{"id":"https://openalex.org/W1669904033","doi":"https://doi.org/10.1109/icacci.2015.7275846","title":"Adaptive visual tracking on Euclidean space using PCA","display_name":"Adaptive visual tracking on Euclidean space using PCA","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1669904033","doi":"https://doi.org/10.1109/icacci.2015.7275846","mag":"1669904033"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2015.7275846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2015.7275846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5019427889","display_name":"Shreenandan Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shreenandan Kumar","raw_affiliation_strings":["School of Computer Engineering, KIIT University, Bhubaneswar, India","School of Computer Engineering, KIIT University Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, KIIT University, Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]},{"raw_affiliation_string":"School of Computer Engineering, KIIT University Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046083443","display_name":"Suman Kumari","orcid":"https://orcid.org/0000-0002-4691-4065"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suman Kumari","raw_affiliation_strings":["School of Computer Engineering, KIIT University, Bhubaneswar, India","School of Computer Engineering, KIIT University Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, KIIT University, Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]},{"raw_affiliation_string":"School of Computer Engineering, KIIT University Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005938097","display_name":"Sucheta Patro","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sucheta Patro","raw_affiliation_strings":["School of Computer Engineering, KIIT University, Bhubaneswar, India","School of Computer Engineering, KIIT University Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, KIIT University, Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]},{"raw_affiliation_string":"School of Computer Engineering, KIIT University Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025369122","display_name":"Tushar Shandilya","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tushar Shandilya","raw_affiliation_strings":["School of Computer Engineering, KIIT University, Bhubaneswar, India","School of Computer Engineering, KIIT University Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, KIIT University, Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]},{"raw_affiliation_string":"School of Computer Engineering, KIIT University Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083355495","display_name":"Anuja Kumar Acharya","orcid":"https://orcid.org/0000-0002-1673-3378"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anuja Kumar Acharya","raw_affiliation_strings":["School of Computer Engineering, KIIT University, Bhubaneswar, India","School of Computer Engineering, KIIT University Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, KIIT University, Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]},{"raw_affiliation_string":"School of Computer Engineering, KIIT University Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019427889"],"corresponding_institution_ids":["https://openalex.org/I67357951"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55822251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1626","last_page":"1630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","score":0.9889000058174133,"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":0.9882000088691711,"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/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.836186408996582},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6681869029998779},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6438987255096436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5453218817710876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5444565415382385},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5414748787879944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5351506471633911},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5327575206756592},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5256427526473999},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.48180288076400757},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.47818830609321594},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4587460160255432},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4307854175567627},{"id":"https://openalex.org/keywords/euclidean-distance-matrix","display_name":"Euclidean distance matrix","score":0.42519962787628174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4189170002937317},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39082908630371094},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1737845540046692},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14960524439811707}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.836186408996582},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6681869029998779},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6438987255096436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5453218817710876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5444565415382385},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5414748787879944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5351506471633911},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5327575206756592},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5256427526473999},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.48180288076400757},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.47818830609321594},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4587460160255432},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4307854175567627},{"id":"https://openalex.org/C171558263","wikidata":"https://www.wikidata.org/wiki/Q5406122","display_name":"Euclidean distance matrix","level":3,"score":0.42519962787628174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4189170002937317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39082908630371094},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1737845540046692},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14960524439811707},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2015.7275846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2015.7275846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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":8,"referenced_works":["https://openalex.org/W1995903777","https://openalex.org/W2009017316","https://openalex.org/W2023629821","https://openalex.org/W2110744759","https://openalex.org/W2133140216","https://openalex.org/W2141681031","https://openalex.org/W2149077040","https://openalex.org/W2165797462"],"related_works":["https://openalex.org/W2169159254","https://openalex.org/W1992732116","https://openalex.org/W2067578116","https://openalex.org/W2902494752","https://openalex.org/W2592471899","https://openalex.org/W2382061536","https://openalex.org/W4310043907","https://openalex.org/W4390673421","https://openalex.org/W3174657038","https://openalex.org/W2105228010"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,99],"present":[4],"a":[5,68],"simple":[6],"and":[7],"elegant":[8],"tracking":[9,114],"algorithm":[10],"that":[11,47],"incrementally":[12],"updates":[13],"the":[14,31,37,43,80,90,123,135,138],"covariance":[15,38,50],"matrix":[16,39,51],"descriptor":[17],"using":[18,42],"an":[19,102],"update":[20,103,119],"mechanism":[21,104,120],"based":[22,94,107],"on":[23,27,95,108],"Principle":[24],"Component":[25],"Analysis":[26],"Euclidean":[28],"subspace.":[29],"Here,":[30],"target":[32],"window":[33,70],"is":[34,52,93,106],"represented":[35],"as":[36,125,127],"descriptors,":[40],"computed":[41],"features":[44],"extracted":[45],"from":[46],"window.":[48],"The":[49,131],"independent":[53],"of":[54,113,137],"size":[55],"so":[56],"it":[57,73],"can":[58],"be":[59],"compared":[60],"to":[61,67,88,110],"any":[62],"regions":[63],"without":[64],"being":[65],"limited":[66],"constant":[69],"size,":[71],"also":[72,121],"has":[74],"low":[75],"dimensionality.":[76],"We":[77],"have":[78,100],"used":[79],"multivariate":[81],"Hotelling's":[82],"T":[83],"<sup":[84],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[85],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[86],"test":[87],"detect":[89],"object":[91],"which":[92,105],"Mahalanobis":[96],"distance.":[97],"Also,":[98],"incorporated":[101],"PCA":[109],"increase":[111],"efficiency":[112],"for":[115],"longer":[116],"trajectory.":[117],"This":[118],"adapts":[122],"intrinsic":[124],"well":[126],"extrinsic":[128],"variations":[129],"effectively.":[130],"experimental":[132],"analysis":[133],"shows":[134],"effectiveness":[136],"proposed":[139],"approach.":[140]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
