{"id":"https://openalex.org/W2172221736","doi":"https://doi.org/10.1109/cvpr.2003.1211341","title":"Subset selection for efficient SVM tracking","display_name":"Subset selection for efficient SVM tracking","publication_year":2003,"publication_date":"2003-11-21","ids":{"openalex":"https://openalex.org/W2172221736","doi":"https://doi.org/10.1109/cvpr.2003.1211341","mag":"2172221736"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2003.1211341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","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/A5068635313","display_name":"Shai Avidan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. Avidan","raw_affiliation_strings":["MobileEye Vision Technologies Limited, Jerusalem, Israel"],"affiliations":[{"raw_affiliation_string":"MobileEye Vision Technologies Limited, Jerusalem, Israel","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068635313"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8007,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.76103735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9976000189781189,"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/T10057","display_name":"Face and Expression Recognition","score":0.9976000189781189,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9962000250816345,"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":0.9869999885559082,"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/support-vector-machine","display_name":"Support vector machine","score":0.8914504647254944},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6197342276573181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5832647681236267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5691951513290405},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5530661344528198},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.539527952671051},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5367300510406494},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5318275094032288},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5085426568984985},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4803925156593323},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.42432835698127747},{"id":"https://openalex.org/keywords/dot-product","display_name":"Dot product","score":0.4193418622016907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30360639095306396}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8914504647254944},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6197342276573181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5832647681236267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5691951513290405},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5530661344528198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.539527952671051},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5367300510406494},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5318275094032288},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5085426568984985},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4803925156593323},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.42432835698127747},{"id":"https://openalex.org/C32900221","wikidata":"https://www.wikidata.org/wiki/Q181365","display_name":"Dot product","level":2,"score":0.4193418622016907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30360639095306396},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2003.1211341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","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":27,"referenced_works":["https://openalex.org/W26816478","https://openalex.org/W1555563476","https://openalex.org/W1938714998","https://openalex.org/W2088032561","https://openalex.org/W2108391942","https://openalex.org/W2119821739","https://openalex.org/W2124351082","https://openalex.org/W2133736419","https://openalex.org/W2139212933","https://openalex.org/W2152668169","https://openalex.org/W2155511848","https://openalex.org/W2156909104","https://openalex.org/W2159686933","https://openalex.org/W2161406034","https://openalex.org/W2163893325","https://openalex.org/W2164598857","https://openalex.org/W2217896605","https://openalex.org/W3023786531","https://openalex.org/W3193477162","https://openalex.org/W4231985393","https://openalex.org/W4239510810","https://openalex.org/W4241307704","https://openalex.org/W4256462001","https://openalex.org/W6601080436","https://openalex.org/W6633210108","https://openalex.org/W6683326157","https://openalex.org/W6684095372"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W2810129309"],"abstract_inverted_index":{"We":[0,174],"update":[1,58,97],"the":[2,25,31,36,40,59,67,70,74,77,80,87,98,108,114,135,159,165,169,180,184],"SVM":[3,37,60,99,115,185],"(support":[4],"vector":[5],"machine)":[6],"score":[7,38,116,186],"of":[8,21,39,54,69,79,107,137,143,182,187],"an":[9],"object":[10,41,81],"through":[11,189],"a":[12,16,49,105,190],"video":[13,191,196],"sequence":[14],"with":[15,76,164],"small":[17,50],"and":[18,51,91,146,150],"variable":[19,52],"subset":[20,53,75,129,153],"support":[22,32,55,71,139,160],"vectors.":[23],"In":[24,62],"first":[26],"frame":[27,64],"we":[28,46,65,125,133,157],"use":[29,47,147],"all":[30,138],"vectors":[33,56,72,140,161],"to":[34,57,96,112],"compute":[35],"but":[42],"in":[43,73,86,119,131,155,171],"subsequent":[44],"frames":[45],"only":[48],"score.":[61,100],"each":[63],"calculate":[66],"dot-products":[68],"pattern":[78,167],"being":[82],"tracked.":[83],"The":[84,122],"difference":[85],"dot-products,":[88],"between":[89],"past":[90],"current":[92],"frames,":[93],"is":[94,102],"used":[95],"This":[101],"done":[103],"at":[104],"fraction":[106],"computational":[109],"cost":[110],"required":[111],"re-evaluate":[113],"from":[117],"scratch":[118],"every":[120],"frame.":[121],"two":[123],"methods":[124],"develop":[126],"are":[127,198],"\"cyclic":[128],"selection\",":[130,154],"which":[132,156],"break":[134],"set":[136],"into":[141],"subsets":[142],"equal":[144],"size":[145],"them":[148],"cyclically,":[149],"\"maximum":[151],"variance":[152],"choose":[158],"whose":[162],"dot-product":[163],"test":[166],"varied":[168],"most":[170],"previous":[172],"frames.":[173],"combine":[175],"these":[176],"techniques":[177],"together":[178],"for":[179],"problem":[181],"maintaining":[183],"objects":[188],"sequence.":[192],"Results":[193],"on":[194],"real":[195],"sequences":[197],"shown.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}