{"id":"https://openalex.org/W2090901581","doi":"https://doi.org/10.1109/cvpr.2010.5539842","title":"Multiple object detection by sequential monte carlo and Hierarchical Detection Network","display_name":"Multiple object detection by sequential monte carlo and Hierarchical Detection Network","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2090901581","doi":"https://doi.org/10.1109/cvpr.2010.5539842","mag":"2090901581"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5539842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539842","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/A5076952204","display_name":"Michal Sofka","orcid":"https://orcid.org/0000-0003-1684-5895"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michal Sofka","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA","Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA"],"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101766174","display_name":"Jingdan Zhang","orcid":"https://orcid.org/0009-0006-1038-7589"},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]},{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingdan Zhang","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA","Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA"],"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028465673","display_name":"S. Kevin Zhou","orcid":"https://orcid.org/0000-0002-6881-4444"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Kevin Zhou","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA","Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA"],"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012751147","display_name":"Dorin Comaniciu","orcid":"https://orcid.org/0000-0002-5238-8647"},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]},{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dorin Comaniciu","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA","Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA"],"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076952204"],"corresponding_institution_ids":["https://openalex.org/I20089843","https://openalex.org/I4210137693"],"apc_list":null,"apc_paid":null,"fwci":6.0513,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.96128288,"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":"1735","last_page":"1742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9842000007629395,"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/computer-science","display_name":"Computer science","score":0.7678197622299194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6955460906028748},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6627256870269775},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5675054788589478},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.530061662197113},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5080804824829102},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4919588267803192},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4846420884132385},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47028541564941406},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4646899700164795},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.43186450004577637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14638635516166687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7678197622299194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6955460906028748},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6627256870269775},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5675054788589478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.530061662197113},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5080804824829102},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4919588267803192},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4846420884132385},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47028541564941406},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4646899700164795},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43186450004577637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14638635516166687},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2010.5539842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539842","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.170.977","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.170.977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.rpi.edu/%7Esofka/pdfs/sofka-cvpr10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1893210478","https://openalex.org/W2032309405","https://openalex.org/W2083342768","https://openalex.org/W2091887928","https://openalex.org/W2097506152","https://openalex.org/W2102179764","https://openalex.org/W2113656553","https://openalex.org/W2124189704","https://openalex.org/W2125806710","https://openalex.org/W2141364309","https://openalex.org/W2142037471","https://openalex.org/W2143073828","https://openalex.org/W2146352414","https://openalex.org/W2146514558","https://openalex.org/W2147953023","https://openalex.org/W2157365994","https://openalex.org/W2160254296","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2171188998","https://openalex.org/W3097096317","https://openalex.org/W3145294510","https://openalex.org/W4231032171","https://openalex.org/W6678457944","https://openalex.org/W6681061655","https://openalex.org/W6681670809","https://openalex.org/W6682042711","https://openalex.org/W6682758060"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2113666009","https://openalex.org/W2885323543","https://openalex.org/W2393870460","https://openalex.org/W2965594636","https://openalex.org/W2912550626"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,30],"propose":[4],"a":[5,18,103],"novel":[6],"framework":[7],"for":[8],"detecting":[9,34,60],"multiple":[10,96,153],"objects":[11,36,62,97,154],"in":[12,26,49,56,78,193],"2D":[13,161],"and":[14,44,155,188],"3D":[15,194],"images.":[16,196],"Since":[17],"joint":[19],"multi-object":[20],"model":[21],"is":[22,66,84,136],"difficult":[23],"to":[24,74,102],"obtain":[25],"most":[27],"practical":[28],"situations,":[29],"focus":[31],"here":[32],"on":[33,68,118,160],"the":[35,61,81,88,91,115,125,133,150,168,182],"sequentially,":[37],"one-by-one.":[38],"The":[39,129,145],"interdependence":[40],"of":[41,52,93,95,120,132,164,185],"object":[42,134],"poses":[43],"strong":[45],"prior":[46],"information":[47],"embedded":[48],"our":[50],"domain":[51],"medical":[53],"images":[54,163],"results":[55],"better":[57],"performance":[58],"than":[59],"individually.":[63],"Our":[64],"approach":[65],"based":[67,117],"Sequential":[69],"Estimation":[70],"techniques,":[71],"frequently":[72],"applied":[73],"visual":[75],"tracking.":[76],"Unlike":[77],"tracking,":[79],"where":[80],"sequential":[82,142,171],"order":[83,92,116,172],"naturally":[85],"determined":[86],"by":[87,141],"time":[89],"sequence,":[90],"detection":[94,176,184],"must":[98],"be":[99],"selected,":[100],"leading":[101],"Hierarchical":[104],"Detection":[105],"Network":[106],"(HDN).":[107],"We":[108,158,178],"present":[109],"an":[110],"algorithm":[111],"that":[112,167],"optimally":[113],"selects":[114],"probability":[119],"states":[121],"(object":[122],"poses)":[123],"within":[124,149],"ground":[126],"truth":[127],"region.":[128],"posterior":[130],"distribution":[131],"pose":[135],"approximated":[137],"at":[138],"each":[139],"step":[140],"Monte":[143],"Carlo.":[144],"samples":[146],"are":[147],"propagated":[148],"sequence":[151],"across":[152],"hierarchical":[156,183],"levels.":[157],"show":[159],"ultrasound":[162,195],"left":[165],"atrium,":[166],"automatically":[169],"selected":[170],"yields":[173],"low":[174],"mean":[175],"error.":[177],"also":[179],"quantitatively":[180],"evaluate":[181],"fetal":[186,190],"faces":[187],"three":[189],"brain":[191],"structures":[192]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}