{"id":"https://openalex.org/W2110116545","doi":"https://doi.org/10.1109/cvpr.2003.1211475","title":"Mean-shift blob tracking through scale space","display_name":"Mean-shift blob tracking through scale space","publication_year":2003,"publication_date":"2003-12-22","ids":{"openalex":"https://openalex.org/W2110116545","doi":"https://doi.org/10.1109/cvpr.2003.1211475","mag":"2110116545"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2003.1211475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211475","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/A5081509021","display_name":"Robert T. Collins","orcid":"https://orcid.org/0000-0001-9062-4252"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"R.T. Collins","raw_affiliation_strings":["Carnegie Mellon University, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5081509021"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":41.8745,"has_fulltext":false,"cited_by_count":799,"citation_normalized_percentile":{"value":0.99843334,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9937000274658203,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9878000020980835,"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":0.9539579153060913},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7011818289756775},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.6949071288108826},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6900263428688049},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6017199754714966},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5291231870651245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5096228122711182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5052433609962463},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.5013699531555176},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42910927534103394},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.420375794172287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3998384475708008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3976391553878784},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36084046959877014},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1771520972251892},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1440976858139038},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.13444674015045166},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10617795586585999}],"concepts":[{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.9539579153060913},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7011818289756775},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.6949071288108826},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6900263428688049},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6017199754714966},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5291231870651245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5096228122711182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5052433609962463},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.5013699531555176},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42910927534103394},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.420375794172287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3998384475708008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3976391553878784},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36084046959877014},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1771520972251892},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1440976858139038},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.13444674015045166},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10617795586585999},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2003.1211475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211475","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.739.7910","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.739.7910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/%7Ejshi/papers/rcollins-cvpr2003.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.8.4121","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.4121","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/collins_robert_2003_2/collins_robert_2003_2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1502024436","https://openalex.org/W1997622868","https://openalex.org/W2022686119","https://openalex.org/W2050600304","https://openalex.org/W2109200236","https://openalex.org/W2149107824","https://openalex.org/W2159128898","https://openalex.org/W2164500538"],"related_works":["https://openalex.org/W2110116545","https://openalex.org/W4220715471","https://openalex.org/W4295035285","https://openalex.org/W4200022986","https://openalex.org/W2546366173","https://openalex.org/W2963637926","https://openalex.org/W3130734945","https://openalex.org/W2019890371","https://openalex.org/W2048140462","https://openalex.org/W4388542635"],"abstract_inverted_index":{"The":[0],"mean-shift":[1,19,69,80,96],"algorithm":[2,97],"is":[3,21,26],"an":[4,12],"efficient":[5,83],"technique":[6],"for":[7,31,68],"tracking":[8,37,84],"2D":[9],"blobs":[10,38,86],"through":[11,87],"image.":[13],"Although":[14],"the":[15,18,62,95],"scale":[16,35,51,67,88],"of":[17,49,57,64,77,85],"kernel":[20,66,81,92],"a":[22,75],"crucial":[23],"parameter,":[24],"there":[25],"presently":[27],"no":[28],"clean":[29],"mechanism":[30],"choosing":[32],"or":[33],"updating":[34],"while":[36],"that":[39,74,101],"are":[40],"changing":[41],"in":[42],"size.":[43],"We":[44,72],"adapt":[45],"Lindeberg's":[46],"(1998)":[47],"theory":[48],"feature":[50],"selection":[52],"based":[53],"on":[54],"local":[55],"maxima":[56],"differential":[58],"scale-space":[59],"filters":[60],"to":[61,98],"problem":[63],"selecting":[65],"blob":[70],"tracking.":[71],"show":[73],"difference":[76],"Gaussian":[78],"(DOG)":[79],"enables":[82],"space.":[89],"Using":[90],"this":[91],"requires":[93],"generalizing":[94],"handle":[99],"images":[100],"contain":[102],"negative":[103],"sample":[104],"weights.":[105]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":34},{"year":2016,"cited_by_count":34},{"year":2015,"cited_by_count":48},{"year":2014,"cited_by_count":67},{"year":2013,"cited_by_count":60},{"year":2012,"cited_by_count":62}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}