{"id":"https://openalex.org/W2147768468","doi":"https://doi.org/10.1109/iccv.2007.4409178","title":"Multi-Object Tracking Through Clutter Using Graph Cuts","display_name":"Multi-Object Tracking Through Clutter Using Graph Cuts","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2147768468","doi":"https://doi.org/10.1109/iccv.2007.4409178","mag":"2147768468"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4409178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","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/A5102972039","display_name":"James G. Malcolm","orcid":"https://orcid.org/0000-0002-7545-3069"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"James Malcolm","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037057278","display_name":"Yogesh Rathi","orcid":"https://orcid.org/0000-0002-9946-2314"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yogesh Rathi","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012935165","display_name":"Allen Tannenbaum","orcid":"https://orcid.org/0000-0002-0567-5256"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allen Tannenbaum","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102972039"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":5.9184,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96507396,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3021","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/clutter","display_name":"Clutter","score":0.7567060589790344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7311916351318359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7212861776351929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7015039920806885},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5323600769042969},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.517410397529602},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4974067509174347},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.495748370885849},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48988550901412964},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.48741844296455383},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48661407828330994},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.48395422101020813},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4299238920211792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3300662040710449},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.11812573671340942},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.07477018237113953}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7567060589790344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7311916351318359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7212861776351929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7015039920806885},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5323600769042969},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.517410397529602},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4974067509174347},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.495748370885849},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48988550901412964},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.48741844296455383},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48661407828330994},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.48395422101020813},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4299238920211792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3300662040710449},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.11812573671340942},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.07477018237113953},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/iccv.2007.4409178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.108.7200","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.7200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dcs.warwick.ac.uk/bmvc2007/proceedings/CD-ROM/papers/paper-116.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.216.9802","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.9802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.bme.gatech.edu/groups/minerva/publications/papers/malcolm_mdp.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.421.9","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.9","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.bmva.org/bmvc/2007/papers/paper-116.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.92.7909","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.7909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.ece.gatech.edu/~malcolm/pubs/malcolm_dp.pdf","raw_type":"text"},{"id":"pmh:oai:smartech.gatech.edu:1853/29599","is_oa":false,"landing_page_url":"http://hdl.handle.net/1853/29599","pdf_url":null,"source":{"id":"https://openalex.org/S4377196313","display_name":"SMARTech Repository (Georgia Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130701444","host_organization_name":"Georgia Institute of Technology","host_organization_lineage":["https://openalex.org/I130701444"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W207955401","https://openalex.org/W1785730614","https://openalex.org/W1999244633","https://openalex.org/W2044049005","https://openalex.org/W2052636906","https://openalex.org/W2097324202","https://openalex.org/W2105365768","https://openalex.org/W2112189985","https://openalex.org/W2112607495","https://openalex.org/W2114816128","https://openalex.org/W2119300483","https://openalex.org/W2120804060","https://openalex.org/W2124351162","https://openalex.org/W2134541452","https://openalex.org/W2142425892","https://openalex.org/W2143452246","https://openalex.org/W2143516773","https://openalex.org/W2153963165","https://openalex.org/W2160337655","https://openalex.org/W2161406034","https://openalex.org/W2165734775","https://openalex.org/W2167338900","https://openalex.org/W2168463767","https://openalex.org/W2169527406","https://openalex.org/W2169551590","https://openalex.org/W2171306417","https://openalex.org/W4248635988","https://openalex.org/W6638212498","https://openalex.org/W6663640987","https://openalex.org/W6677049492"],"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/W2062358783","https://openalex.org/W2365415794","https://openalex.org/W2290997524","https://openalex.org/W2513707623","https://openalex.org/W1985706094"],"abstract_inverted_index":{"The":[0,95],"standard":[1,42],"graph":[2,43],"cut":[3,44],"technique":[4,45],"is":[5,21,77,98,113],"a":[6,36,63,70,87],"robust":[7],"method":[8,38,112],"for":[9,46],"globally":[10],"optimal":[11],"image":[12],"segmentations.":[13],"However,":[14],"because":[15],"of":[16,31,56,72,92,115,120],"its":[17],"global":[18],"nature,":[19],"it":[20],"prone":[22],"to":[23,28,39,51,79],"capture":[24],"outlying":[25],"areas":[26],"similar":[27],"the":[29,41,90,93],"object":[30],"interest.":[32,57],"This":[33,111],"paper":[34],"proposes":[35],"novel":[37],"constrain":[40],"tracking":[47,116],"anywhere":[48],"from":[49,69],"one":[50],"several":[52],"objects":[53,119],"in":[54,81,124],"regions":[55],"For":[58],"each":[59],"object,":[60],"we":[61,85],"introduce":[62],"pixel":[64],"penalty":[65,97],"based":[66,107],"upon":[67],"distance":[68,96],"region":[71],"interest":[73],"and":[74,104,127],"so":[75],"segmentation":[76],"biased":[78],"remain":[80],"this":[82,102],"area.":[83],"Also,":[84],"employ":[86],"filter":[88],"predicting":[89],"location":[91,103],"object.":[94],"then":[99],"centered":[100],"at":[101],"adoptively":[105],"scaled":[106],"on":[108],"prediction":[109],"confidence.":[110],"capable":[114],"multiple":[117],"interacting":[118],"different":[121],"intensity":[122],"profiles":[123],"both":[125],"gray-scale":[126],"color":[128],"imagery.":[129]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
