{"id":"https://openalex.org/W4213432141","doi":"https://doi.org/10.1109/icpr.2004.1334383","title":"Embedding motion in model-based stochastic tracking","display_name":"Embedding motion in model-based stochastic tracking","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4213432141","doi":"https://doi.org/10.1109/icpr.2004.1334383"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334383","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/83127","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053358969","display_name":"Jean\u2010Marc Odobez","orcid":"https://orcid.org/0000-0002-9537-9898"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"J.M. Odobez","raw_affiliation_strings":["IDIAP Research Institute, Martigny, Switzerland"],"affiliations":[{"raw_affiliation_string":"IDIAP Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012965551","display_name":"Daniel G\u00e1tica-P\u00e9rez","orcid":"https://orcid.org/0000-0001-5488-2182"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"D. Gatica-Perez","raw_affiliation_strings":["IDIAP Research Institute, Martigny, Switzerland"],"affiliations":[{"raw_affiliation_string":"IDIAP Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053358969"],"corresponding_institution_ids":["https://openalex.org/I7495430"],"apc_list":null,"apc_paid":null,"fwci":1.1411,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73660714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"815","last_page":"818 Vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9947999715805054,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9836000204086304,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7537912130355835},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.710671067237854},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.706224262714386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.688635528087616},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6498770713806152},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6287943124771118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6287598609924316},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5384243726730347},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.508529543876648},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4845089316368103},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47884273529052734},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4784384071826935},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4607694149017334},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.45867806673049927},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4415892958641052},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.44049370288848877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3810567259788513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22698688507080078},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.10263422131538391}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7537912130355835},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.710671067237854},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.706224262714386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688635528087616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6498770713806152},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6287943124771118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6287598609924316},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5384243726730347},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.508529543876648},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4845089316368103},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47884273529052734},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4784384071826935},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4607694149017334},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.45867806673049927},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4415892958641052},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.44049370288848877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3810567259788513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22698688507080078},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.10263422131538391},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2004.1334383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334383","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.tind.io:83127","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/83127","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:83127","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/83127","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1513768190","https://openalex.org/W1532653240","https://openalex.org/W1639095821","https://openalex.org/W1899675034","https://openalex.org/W1910898529","https://openalex.org/W2085669808","https://openalex.org/W2098479385","https://openalex.org/W2119308340","https://openalex.org/W2128903859","https://openalex.org/W2152057642","https://openalex.org/W2159128898","https://openalex.org/W4244486013","https://openalex.org/W4255333169","https://openalex.org/W6631969182","https://openalex.org/W6636608667","https://openalex.org/W6639557929","https://openalex.org/W6682180107"],"related_works":["https://openalex.org/W2100525497","https://openalex.org/W2145647377","https://openalex.org/W3157383594","https://openalex.org/W2117643935","https://openalex.org/W2124156864","https://openalex.org/W2381817522","https://openalex.org/W2143520177","https://openalex.org/W2077096961","https://openalex.org/W2145781311","https://openalex.org/W2537997907"],"abstract_inverted_index":{"Particle":[0],"filtering":[1],"(PF)":[2],"is":[3,26,43],"now":[4],"established":[5],"as":[6,50],"one":[7,42],"of":[8,36,46,97],"the":[9,28,34,40,44,47,59,68,89,93,98,107,112,145],"most":[10],"popular":[11],"methods":[12],"for":[13],"visual":[14,129],"tracking.":[15],"Within":[16],"this":[17,54],"framework,":[18],"two":[19],"assumptions":[20],"are":[21,30,85,104],"generally":[22],"made.":[23],"The":[24,116],"first":[25,60],"that":[27,58,67],"data":[29,113],"temporally":[31],"independent":[32],"given":[33],"sequence":[35],"object":[37],"states,":[38],"and":[39,66,125],"second":[41,69],"use":[45],"transition":[48],"prior":[49],"proposal":[51],"distribution.":[52],"In":[53],"paper,":[55],"we":[56],"argue":[57],"assumption":[61],"does":[62],"not":[63],"strictly":[64],"hold":[65],"can":[70],"be":[71],"improved.":[72],"We":[73],"propose":[74],"to":[75,87,110,120,126],"handle":[76,121],"both":[77],"modeling":[78],"issues":[79],"using":[80],"motion.":[81],"Explicit":[82],"motion":[83,102,123],"measurements":[84,103],"used":[86],"drive":[88],"sampling":[90],"process":[91],"towards":[92],"new":[94],"interesting":[95],"regions":[96],"image,":[99],"while":[100],"implicit":[101],"introduced":[105],"in":[106],"likelihood":[108],"evaluation":[109],"model":[111,118],"correlation":[114],"term.":[115],"proposed":[117],"allows":[119],"abrupt":[122],"changes":[124],"filter":[127],"out":[128],"distractors":[130],"when":[131],"tracking":[132,151],"objects":[133],"with":[134],"generic":[135],"models":[136],"based":[137],"on":[138],"shape":[139],"representations.":[140],"Experimental":[141],"results":[142],"compared":[143],"against":[144],"CONDENSATION":[146],"algorithm":[147],"have":[148],"demonstrated":[149],"superior":[150],"performance.":[152]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
