{"id":"https://openalex.org/W2013820100","doi":"https://doi.org/10.1109/ispa.2013.6703731","title":"A combined color-correlation visual model for object tracking using particle filters","display_name":"A combined color-correlation visual model for object tracking using particle filters","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2013820100","doi":"https://doi.org/10.1109/ispa.2013.6703731","mag":"2013820100"},"language":"en","primary_location":{"id":"doi:10.1109/ispa.2013.6703731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2013.6703731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","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/A5066250533","display_name":"Marco Centir","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154781","display_name":"STMicroelectronics (Italy)","ror":"https://ror.org/053bqv655","country_code":"IT","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210154781"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Marco Centir","raw_affiliation_strings":["STMicroeleclroiiics - Via Olivelli 2, Aerale Brianza, Italy","STMicroelectron., Aerale Brianza, Italy"],"affiliations":[{"raw_affiliation_string":"STMicroeleclroiiics - Via Olivelli 2, Aerale Brianza, Italy","institution_ids":["https://openalex.org/I4210154781"]},{"raw_affiliation_string":"STMicroelectron., Aerale Brianza, Italy","institution_ids":["https://openalex.org/I4210154781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075226337","display_name":"Pasqualina Fragneto","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154781","display_name":"STMicroelectronics (Italy)","ror":"https://ror.org/053bqv655","country_code":"IT","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210154781"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pasqualina Fragneto","raw_affiliation_strings":["STMicroelectronics, Agrate Brianza, Italy","STMicroelectron., Aerale Brianza, Italy"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics, Agrate Brianza, Italy","institution_ids":["https://openalex.org/I4210154781"]},{"raw_affiliation_string":"STMicroelectron., Aerale Brianza, Italy","institution_ids":["https://openalex.org/I4210154781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035380355","display_name":"Davide Denaro","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154781","display_name":"STMicroelectronics (Italy)","ror":"https://ror.org/053bqv655","country_code":"IT","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210154781"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Denaro","raw_affiliation_strings":["STMicroelectronics, Agrate Brianza, Italy","STMicroelectron., Aerale Brianza, Italy"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics, Agrate Brianza, Italy","institution_ids":["https://openalex.org/I4210154781"]},{"raw_affiliation_string":"STMicroelectron., Aerale Brianza, Italy","institution_ids":["https://openalex.org/I4210154781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110947898","display_name":"Beatrice Rossi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154781","display_name":"STMicroelectronics (Italy)","ror":"https://ror.org/053bqv655","country_code":"IT","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210154781"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Beatrice Rossi","raw_affiliation_strings":["STMicroelectronics, Agrate Brianza, Italy","STMicroelectron., Aerale Brianza, Italy"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics, Agrate Brianza, Italy","institution_ids":["https://openalex.org/I4210154781"]},{"raw_affiliation_string":"STMicroelectron., Aerale Brianza, Italy","institution_ids":["https://openalex.org/I4210154781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008102459","display_name":"Claudio Marchisio","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154781","display_name":"STMicroelectronics (Italy)","ror":"https://ror.org/053bqv655","country_code":"IT","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210154781"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudio Marchisio","raw_affiliation_strings":["STMicroelectronics, Agrate Brianza, Italy","STMicroelectron., Aerale Brianza, Italy"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics, Agrate Brianza, Italy","institution_ids":["https://openalex.org/I4210154781"]},{"raw_affiliation_string":"STMicroelectron., Aerale Brianza, Italy","institution_ids":["https://openalex.org/I4210154781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066250533"],"corresponding_institution_ids":["https://openalex.org/I4210154781"],"apc_list":null,"apc_paid":null,"fwci":0.5443,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69265877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"74","issue":null,"first_page":"153","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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":0.9986000061035156,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9760000109672546,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9563000202178955,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8396254777908325},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8290531635284424},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7606768608093262},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7423505783081055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6946885585784912},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6818875074386597},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6129811406135559},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5277058482170105},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5254249572753906},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48013660311698914},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46676063537597656},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4399595260620117},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4392908811569214},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.41814088821411133},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4164174497127533},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38158994913101196},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3517271876335144},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1224730908870697},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.10965883731842041},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09864422678947449}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8396254777908325},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8290531635284424},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7606768608093262},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7423505783081055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6946885585784912},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6818875074386597},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6129811406135559},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5277058482170105},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5254249572753906},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48013660311698914},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46676063537597656},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4399595260620117},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4392908811569214},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.41814088821411133},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4164174497127533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38158994913101196},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3517271876335144},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1224730908870697},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.10965883731842041},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09864422678947449},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa.2013.6703731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2013.6703731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1964846093","https://openalex.org/W1984842942","https://openalex.org/W2006687482","https://openalex.org/W2038943746","https://openalex.org/W2098528983","https://openalex.org/W2100642335","https://openalex.org/W2120927021","https://openalex.org/W2125907508","https://openalex.org/W2157528819","https://openalex.org/W2160337655","https://openalex.org/W3210232381","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W2318603563","https://openalex.org/W1994458110","https://openalex.org/W2100525497","https://openalex.org/W2369908555","https://openalex.org/W887692824","https://openalex.org/W2354419434","https://openalex.org/W4285271403","https://openalex.org/W2012200063","https://openalex.org/W3178626677","https://openalex.org/W2110357291"],"abstract_inverted_index":{"In":[0],"this":[1,43],"paper":[2],"we":[3],"consider":[4],"the":[5,54,90,105],"problem":[6],"of":[7,34,53,61,96,104,110,126],"tracking":[8,23,45,111,117],"semi-rigid":[9],"objects":[10,114],"in":[11,59,115],"video":[12],"sequences":[13],"using":[14,122],"particle":[15],"filters,":[16],"with":[17,42,119],"a":[18,50,82,101,123],"particular":[19],"focus":[20],"on":[21],"hand":[22],"applications.":[24],"Although":[25],"many":[26],"different":[27],"feature":[28],"descriptors":[29],"have":[30],"been":[31],"developed,":[32],"none":[33],"them":[35],"alone":[36],"is":[37,108],"good":[38],"enough":[39],"to":[40,57,72],"deal":[41],"complex":[44,116],"scenarios.":[46],"Approaches":[47],"which":[48,85,107],"use":[49],"statistical":[51],"representation":[52],"target":[55,106],"tend":[56],"fail":[58],"presence":[60],"visually":[62],"similar":[63],"objects,":[64],"while":[65],"holistic":[66],"representations":[67],"are":[68],"usually":[69],"very":[70],"sensible":[71],"motion":[73],"blur,":[74],"object":[75],"deformations":[76],"and":[77,89],"rotations.":[78],"We":[79],"present":[80],"here":[81],"visual":[83],"model":[84],"combines":[86],"color":[87],"histograms":[88],"MOSSE":[91],"Correlation":[92],"Filter.":[93],"The":[94],"fusion":[95],"two":[97],"complementary":[98],"features":[99],"creates":[100],"robust":[102],"descriptor":[103],"capable":[109],"fast":[112],"moving":[113],"applications":[118],"real-time":[120],"performances,":[121],"low":[124],"number":[125],"particles.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
