{"id":"https://openalex.org/W2123997444","doi":"https://doi.org/10.1109/icme.2005.1521651","title":"Multi-Kernel Object Tracking","display_name":"Multi-Kernel Object Tracking","publication_year":2005,"publication_date":"2005-10-24","ids":{"openalex":"https://openalex.org/W2123997444","doi":"https://doi.org/10.1109/icme.2005.1521651","mag":"2123997444"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2005.1521651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038550641","display_name":"Fatih Porikli","orcid":"https://orcid.org/0000-0002-1520-4466"},"institutions":[{"id":"https://openalex.org/I1306287861","display_name":"Mitsubishi Group (Japan)","ror":"https://ror.org/0234cd281","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861"]},{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"F. Porikli","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","Mitsubishi Electr. Res. Labs, Cambridge, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electr. Res. Labs, Cambridge, MA","institution_ids":["https://openalex.org/I1306287861"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028613002","display_name":"Oncel Tuzel","orcid":null},"institutions":[{"id":"https://openalex.org/I1306287861","display_name":"Mitsubishi Group (Japan)","ror":"https://ror.org/0234cd281","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861"]},{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"O. Tuzel","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","Mitsubishi Electr. Res. Labs, Cambridge, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electr. Res. Labs, Cambridge, MA","institution_ids":["https://openalex.org/I1306287861"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1234","last_page":"1237"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9973000288009644,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9915000200271606,"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/mean-shift","display_name":"Mean-shift","score":0.8021529316902161},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7392358779907227},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7058790326118469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6974294185638428},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6952099204063416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6809272766113281},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6407148838043213},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6095057725906372},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5826169848442078},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5719407796859741},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4772729277610779},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.46738138794898987},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.23953759670257568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19459176063537598}],"concepts":[{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.8021529316902161},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7392358779907227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7058790326118469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6974294185638428},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6952099204063416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6809272766113281},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6407148838043213},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6095057725906372},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5826169848442078},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5719407796859741},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4772729277610779},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.46738138794898987},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.23953759670257568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19459176063537598},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2005.1521651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.433.9208","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.433.9208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.merl.com/publications/docs/TR2005-122.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.46000000834465027,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1499877760","https://openalex.org/W2102625004","https://openalex.org/W2116629447","https://openalex.org/W2140235142","https://openalex.org/W2148290050","https://openalex.org/W2159128898","https://openalex.org/W6629695367","https://openalex.org/W6678077374"],"related_works":["https://openalex.org/W1487824918","https://openalex.org/W2386156666","https://openalex.org/W2349207614","https://openalex.org/W2335246570","https://openalex.org/W1980446522","https://openalex.org/W2365415794","https://openalex.org/W2977517636","https://openalex.org/W2290997524","https://openalex.org/W2165629849","https://openalex.org/W2810129309"],"abstract_inverted_index":{"In":[0,60],"this":[1,48],"paper,":[2],"we":[3,62],"present":[4],"an":[5,29],"object":[6,30],"tracking":[7,22],"algorithm":[8],"for":[9],"the":[10,26,37,56,64,68,80,87,90],"low-frame-rate":[11],"video":[12],"in":[13,24,79],"which":[14],"objects":[15],"have":[16],"fast":[17],"motion.":[18],"The":[19],"conventional":[20],"mean-shift":[21,69],"fails":[23],"case":[25],"relocation":[27],"of":[28,67,89],"is":[31],"large":[32],"and":[33,76],"its":[34],"regions":[35],"between":[36],"consecutive":[38],"frames":[39],"do":[40],"not":[41],"overlap.":[42],"We":[43],"provide":[44],"a":[45],"solution":[46],"to":[47],"problem":[49],"by":[50,70],"using":[51],"multiple":[52],"kernels":[53],"centered":[54],"at":[55],"high":[57],"motion":[58],"areas.":[59],"addition,":[61],"improve":[63],"convergence":[65],"properties":[66],"integrating":[71],"two":[72],"likelihood":[73],"terms,":[74],"background":[75],"template":[77],"similarities,":[78],"iterative":[81],"update":[82],"mechanism.":[83],"Our":[84],"simulations":[85],"prove":[86],"effectiveness":[88],"proposed":[91],"method":[92]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
