{"id":"https://openalex.org/W2131768840","doi":"https://doi.org/10.1109/icpr.2002.1048390","title":"Probabilistic tracking with optimal scale and orientation selection","display_name":"Probabilistic tracking with optimal scale and orientation selection","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2131768840","doi":"https://doi.org/10.1109/icpr.2002.1048390","mag":"2131768840"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1048390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037179146","display_name":"Hwann-Tzong Chen","orcid":"https://orcid.org/0000-0003-2806-7090"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I4210141710","display_name":"Institute of Statistical Science, Academia Sinica","ror":"https://ror.org/044gv5910","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210141710","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hwann-Tzong Chen","raw_affiliation_strings":["Academia Sinica, Institute of Information Science, Taipei, Taiwan","Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academia Sinica, Institute of Information Science, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210141710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043386280","display_name":"Tyng-Luh Liu","orcid":"https://orcid.org/0000-0002-8366-5213"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I4210141710","display_name":"Institute of Statistical Science, Academia Sinica","ror":"https://ror.org/044gv5910","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210141710","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tyng-Luh Liu","raw_affiliation_strings":["Academia Sinica, Institute of Information Science, Taipei, Taiwan","Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academia Sinica, Institute of Information Science, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210141710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"668","last_page":"671"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9961000084877014,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/weighting","display_name":"Weighting","score":0.7500782012939453},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6762475371360779},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.6535578370094299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6521648168563843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6398569345474243},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5749427676200867},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5590537786483765},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5498356223106384},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5040589570999146},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.46136847138404846},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4485416114330292},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29901862144470215},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09696504473686218}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7500782012939453},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6762475371360779},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.6535578370094299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6521648168563843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398569345474243},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5749427676200867},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5590537786483765},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5498356223106384},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5040589570999146},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46136847138404846},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4485416114330292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29901862144470215},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09696504473686218},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2002.1048390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1.9892","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.9892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bioinfo.iis.sinica.edu.tw/liutyng/paper/icpr02.ps.gz","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":11,"referenced_works":["https://openalex.org/W147998453","https://openalex.org/W1502024436","https://openalex.org/W1548235860","https://openalex.org/W1899675034","https://openalex.org/W1910898529","https://openalex.org/W2098479385","https://openalex.org/W2129037463","https://openalex.org/W2145443310","https://openalex.org/W2159128898","https://openalex.org/W2161406034","https://openalex.org/W2168682262"],"related_works":["https://openalex.org/W2371136327","https://openalex.org/W4293234107","https://openalex.org/W2370549269","https://openalex.org/W2386824811","https://openalex.org/W2354618530","https://openalex.org/W2081226903","https://openalex.org/W2363452175","https://openalex.org/W2375225935","https://openalex.org/W2542179972","https://openalex.org/W2131998656"],"abstract_inverted_index":{"We":[0,60],"describe":[1],"a":[2,7,26,62,85,100,112,136],"probabilistic":[3],"framework":[4],"based":[5],"on":[6,45],"trust-region":[8,101],"method":[9,141],"to":[10,30,52,57,91,110,115],"track":[11],"rigid":[12],"or":[13,41],"non-rigid":[14],"objects":[15],"with":[16],"automatic":[17],"optimal":[18],"scale":[19],"and":[20,95,123,145],"orientation":[21,94,124],"selection.":[22],"The":[23],"approach":[24],"uses":[25],"flexible":[27],"probability":[28],"model":[29],"represent":[31],"an":[32,82],"object":[33,83],"by":[34,84],"its":[35,93],"salient":[36],"features":[37,49,71],"such":[38],"as":[39,65,147],"color":[40],"intensity":[42],"gradient.":[43],"Depending":[44],"the":[46,53,66,73,116,120,130,150],"weighting":[47,67],"scheme,":[48],"will":[50],"contribute":[51],"distribution":[54,113],"differently":[55],"according":[56],"their":[58],"positions.":[59],"adopt":[61],"bivariate":[63],"normal":[64],"function":[68],"that":[69,80],"only":[70],"within":[72],"induced":[74],"covariance":[75,86],"ellipse":[76,87],"are":[77],"considered.":[78],"Notice":[79],"characterizing":[81],"makes":[88],"it":[89],"easier":[90],"define":[92],"scale.":[96],"To":[97],"perform":[98],"tracking,":[99],"scheme":[102],"is":[103,133,142],"carried":[104],"out":[105],"for":[106,119],"each":[107],"image":[108],"frame":[109],"detect":[111],"similar":[114],"target's":[117],"accounting":[118],"translation,":[121],"scale,":[122],"factors":[125],"simultaneously.":[126],"Unlike":[127],"other":[128],"work,":[129],"optimization":[131],"process":[132],"executed":[134],"over":[135],"continuous":[137],"space.":[138],"Consequently,":[139],"our":[140],"more":[143],"robust":[144],"accurate":[146],"demonstrated":[148],"in":[149],"experimental":[151],"results.":[152]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}