{"id":"https://openalex.org/W2062962093","doi":"https://doi.org/10.1109/cvpr.2010.5539810","title":"A probabilistic framework for joint segmentation and tracking","display_name":"A probabilistic framework for joint segmentation and tracking","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2062962093","doi":"https://doi.org/10.1109/cvpr.2010.5539810","mag":"2062962093"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5539810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society 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/A5007217822","display_name":"Chad Aeschliman","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chad Aeschliman","raw_affiliation_strings":["Purdue University, USA","Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058723279","display_name":"Johnny Park","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Johnny Park","raw_affiliation_strings":["Purdue University, USA","Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110382122","display_name":"Avinash C. Kak","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avinash C. Kak","raw_affiliation_strings":["Purdue University, USA","Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007217822"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":6.0556,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.96805205,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1371","last_page":"1378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9965000152587891,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7942488193511963},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7793914079666138},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7115268111228943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6819276809692383},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6677541136741638},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6094058752059937},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5790554881095886},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.576427161693573},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.5746824145317078},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5397684574127197},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.513923168182373},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4673994183540344},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.46540528535842896},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4114542603492737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2179655134677887}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7942488193511963},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7793914079666138},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7115268111228943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6819276809692383},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6677541136741638},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6094058752059937},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5790554881095886},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.576427161693573},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.5746824145317078},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5397684574127197},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.513923168182373},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4673994183540344},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46540528535842896},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4114542603492737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2179655134677887},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2010.5539810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1481420047","https://openalex.org/W1499578337","https://openalex.org/W1502024436","https://openalex.org/W1551898955","https://openalex.org/W1995903777","https://openalex.org/W2064617419","https://openalex.org/W2102625004","https://openalex.org/W2119350939","https://openalex.org/W2125027820","https://openalex.org/W2127923214","https://openalex.org/W2128027845","https://openalex.org/W2130250107","https://openalex.org/W2132103241","https://openalex.org/W2149832394","https://openalex.org/W2150440166","https://openalex.org/W2293873019","https://openalex.org/W2545274162","https://openalex.org/W3150797255","https://openalex.org/W6633008415","https://openalex.org/W6679366130"],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W1967061043","https://openalex.org/W2549936415","https://openalex.org/W2384989255","https://openalex.org/W2566648451","https://openalex.org/W1982826852","https://openalex.org/W2517104666","https://openalex.org/W134976887","https://openalex.org/W2274529912","https://openalex.org/W2897195263"],"abstract_inverted_index":{"Most":[0],"tracking":[1,33,162,171,179],"algorithms":[2],"implicitly":[3],"apply":[4],"a":[5,13,18,44,82,94,110,136,157],"coarse":[6,26],"segmentation":[7,27,89,112,118,124,155],"of":[8,37,66,151,159,170],"each":[9],"target":[10,40,61,67,103],"object":[11],"using":[12],"simple":[14],"mask":[15,56,71],"such":[16,25],"as":[17,156],"rectangle":[19],"or":[20,62],"an":[21],"ellipse.":[22],"Although":[23],"convenient,":[24],"results":[28,145],"in":[29,32,119],"several":[30],"problems":[31],"-":[34,46],"drift,":[35],"switching":[36],"targets,":[38],"poor":[39],"localization,":[41],"to":[42,128,173],"name":[43],"few":[45],"since":[47],"it":[48],"inherently":[49],"includes":[50],"extra":[51],"non-target":[52],"pixels":[53,68],"if":[54,69],"the":[55,60,70,75,100,120,131,148,161,166],"is":[57,72,125],"larger":[58],"than":[59,74],"excludes":[63],"some":[64],"portion":[65],"smaller":[73],"target.":[76],"In":[77],"this":[78,117],"paper,":[79],"we":[80],"propose":[81],"novel":[83],"probabilistic":[84,138],"framework":[85],"for":[86,178],"jointly":[87],"solving":[88,160],"and":[90,113,168],"tracking.":[91],"Starting":[92],"from":[93],"joint":[95],"Gaussian":[96],"distribution":[97],"over":[98],"all":[99],"pixels,":[101],"candidate":[102],"locations":[104],"are":[105],"evaluated":[106],"by":[107],"first":[108],"computing":[109],"pixel-level":[111,154],"then":[114],"explicitly":[115,152],"including":[116],"probability":[121,132],"model.":[122],"The":[123],"also":[126],"used":[127],"incrementally":[129],"update":[130],"model":[133],"based":[134],"on":[135],"modified":[137],"principal":[139],"component":[140],"analysis":[141],"(PPCA).":[142],"Our":[143],"experimental":[144],"show":[146],"that":[147],"proposed":[149],"method":[150],"considering":[153],"part":[158],"problem":[163],"significantly":[164],"improves":[165],"robustness":[167],"performance":[169],"compared":[172],"other":[174],"state-of-the-art":[175],"trackers,":[176],"particularly":[177],"multiple":[180],"overlapping":[181],"targets.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
