{"id":"https://openalex.org/W2096212431","doi":"https://doi.org/10.1109/cvpr.2008.4587508","title":"Efficient mean shift belief propagation for vision tracking","display_name":"Efficient mean shift belief propagation for vision tracking","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2096212431","doi":"https://doi.org/10.1109/cvpr.2008.4587508","mag":"2096212431"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5100746549","display_name":"Minwoo Park","orcid":"https://orcid.org/0000-0002-9117-2128"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minwoo Park","raw_affiliation_strings":["Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA","Department of Computer Science and Engineering Pennsylvania State University University Park, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Pennsylvania State University University Park, PA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101846181","display_name":"Yanxi Liu","orcid":"https://orcid.org/0000-0002-3834-8710"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanxi Liu","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","Department of Computer Science and Engineering Pennsylvania State University University Park, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Pennsylvania State University University Park, PA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081509021","display_name":"Robert T. Collins","orcid":"https://orcid.org/0000-0001-9062-4252"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert T. Collins","raw_affiliation_strings":["Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA","Department of Computer Science and Engineering Pennsylvania State University University Park, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Pennsylvania State University University Park, PA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.68,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.96181471,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9955999851226807,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9955999851226807,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/belief-propagation","display_name":"Belief propagation","score":0.7651928067207336},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6797888875007629},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5773594379425049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4770745038986206},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46591830253601074},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.463670015335083},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.43856281042099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4171135723590851},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39231887459754944},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3748939335346222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.325705885887146},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.30906957387924194},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.28942036628723145}],"concepts":[{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.7651928067207336},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6797888875007629},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5773594379425049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4770745038986206},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46591830253601074},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.463670015335083},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.43856281042099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4171135723590851},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39231887459754944},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3748939335346222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.325705885887146},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.30906957387924194},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28942036628723145},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2008.4587508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.153.3392","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.3392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ri.cmu.edu/pub_files/pub4/park_minwoo_2008_2/park_minwoo_2008_2.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.317.6974","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.317.6974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/168.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2019599312","https://openalex.org/W2067191022","https://openalex.org/W2100372089","https://openalex.org/W2106694427","https://openalex.org/W2108190040","https://openalex.org/W2121742479","https://openalex.org/W2141218264","https://openalex.org/W2149521538","https://openalex.org/W2149760002","https://openalex.org/W2150095155","https://openalex.org/W2151646056","https://openalex.org/W2160933580","https://openalex.org/W2165949176","https://openalex.org/W2167947196","https://openalex.org/W2170339527","https://openalex.org/W2175160295","https://openalex.org/W6655383422","https://openalex.org/W6681101697"],"related_works":["https://openalex.org/W2963817320","https://openalex.org/W2377432969","https://openalex.org/W4307680413","https://openalex.org/W2396038226","https://openalex.org/W2109489568","https://openalex.org/W2949726649","https://openalex.org/W2096464203","https://openalex.org/W2015530857","https://openalex.org/W3003852655","https://openalex.org/W4300477075"],"abstract_inverted_index":{"A":[0],"mechanism":[1],"for":[2,39,82],"efficient":[3],"mean-shift":[4,18],"belief":[5,24,29,71,112],"propagation":[6,30,33,72],"(MSBP)":[7],"is":[8,15,35,47,88,146],"introduced.":[9],"The":[10,140],"novelty":[11],"of":[12,54,61,79,108,110,124,144,151],"our":[13],"work":[14],"to":[16,19,58,92,103],"use":[17],"perform":[20],"nonparametric":[21,70],"mode-seeking":[22],"on":[23,153],"surfaces":[25],"generated":[26],"within":[27],"the":[28,52,59,62,67,93,111],"framework.":[31],"Belief":[32],"(BP)":[34],"a":[36,48,105,120],"powerful":[37],"solution":[38],"performing":[40],"inference":[41],"in":[42,51,77,155],"graphical":[43],"models.":[44],"However,":[45],"there":[46],"quadratic":[49],"increase":[50],"cost":[53],"computation":[55,87,129],"with":[56],"respect":[57],"size":[60],"hidden":[63,84],"variable":[64,85],"space.":[65],"While":[66],"recently":[68],"proposed":[69],"(NBP)":[73],"has":[74],"better":[75],"performance":[76],"terms":[78],"speed,":[80],"even":[81],"continuous":[83],"spaces,":[86],"still":[89],"slow":[90],"due":[91],"particle":[94],"filter":[95],"sampling":[96],"process.":[97],"Our":[98],"MSBP":[99,145],"method":[100],"only":[101],"needs":[102,119],"compute":[104],"local":[106],"grid":[107],"samples":[109,125],"surface":[113],"during":[114],"each":[115],"iteration.":[116],"This":[117],"approach":[118],"significantly":[121],"smaller":[122],"number":[123],"than":[126],"NBP,":[127],"reducing":[128],"time,":[130],"yet":[131],"it":[132],"also":[133],"yields":[134],"more":[135],"accurate":[136],"and":[137,142,158],"stable":[138],"solutions.":[139],"efficiency":[141],"robustness":[143],"compared":[147],"against":[148],"other":[149],"variants":[150],"BP":[152],"applications":[154],"multi-target":[156],"tracking":[157],"2D":[159],"articulated":[160],"body":[161],"tracking.":[162]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}