{"id":"https://openalex.org/W2043391450","doi":"https://doi.org/10.1109/icip.2009.5413870","title":"LDA based color information fusion for visual objects tracking","display_name":"LDA based color information fusion for visual objects tracking","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2043391450","doi":"https://doi.org/10.1109/icip.2009.5413870","mag":"2043391450"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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/A5068665373","display_name":"Fei Qi","orcid":"https://orcid.org/0000-0002-2161-1551"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Qi","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China","School of Electronic Engineering, Xidian University, Xi'an, Shaanxi Province, 710071 China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, Shaanxi Province, 710071 China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069133173","display_name":"Xiaowei Song","orcid":"https://orcid.org/0000-0001-9215-0572"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Song","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China","School of Electronic Engineering, Xidian University, Xi'an, Shaanxi Province, 710071 China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, Shaanxi Province, 710071 China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102147376","display_name":"Guangming Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China","School of Electronic Engineering, Xidian University, Xi'an, Shaanxi Province, 710071 China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, Shaanxi Province, 710071 China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068665373"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.6471,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70225039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2201","last_page":"2204"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9948999881744385,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9830999970436096,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8202612400054932},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7317500710487366},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7166914939880371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6685225367546082},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6503006815910339},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.6389492154121399},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5826496481895447},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5112204551696777},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49158963561058044},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4772056043148041},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.44895872473716736},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4401397705078125},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4247910678386688},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4107424318790436},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.33892834186553955},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14824756979942322}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8202612400054932},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7317500710487366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7166914939880371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6685225367546082},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6503006815910339},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.6389492154121399},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5826496481895447},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5112204551696777},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49158963561058044},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4772056043148041},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.44895872473716736},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4401397705078125},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4247910678386688},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4107424318790436},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.33892834186553955},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14824756979942322},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1487343712","https://openalex.org/W1995903777","https://openalex.org/W2053181242","https://openalex.org/W2067191022","https://openalex.org/W2099350109","https://openalex.org/W2132103241","https://openalex.org/W2150000644","https://openalex.org/W6629215632"],"related_works":["https://openalex.org/W2114217318","https://openalex.org/W2794812819","https://openalex.org/W2587881214","https://openalex.org/W3104072235","https://openalex.org/W2048680804","https://openalex.org/W2370263288","https://openalex.org/W2169311637","https://openalex.org/W3192451249","https://openalex.org/W4367850163","https://openalex.org/W2395040056"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3],"approach":[4,70],"for":[5],"object":[6,79],"tracking":[7,43,94,116],"is":[8,21,89],"proposed":[9],"based":[10],"on":[11],"the":[12,39,42,52,59,64,69,74,78,97,105,109],"online":[13],"color":[14,26],"information":[15],"fusion":[16,19],"scheme.":[17],"The":[18,45,66],"scheme,":[20],"performed":[22],"by":[23,50],"projecting":[24],"multi-channel":[25],"images":[27],"to":[28,57],"a":[29,92],"one-dimensional":[30],"pseudo":[31],"gray":[32],"scale":[33],"space.":[34],"This":[35,87],"dimensionality":[36],"reduction":[37],"simplifies":[38],"designation":[40],"of":[41,68,77],"algorithm.":[44],"fusing":[46],"coefficients":[47],"are":[48],"determined":[49],"taking":[51,63],"Fisher":[53],"linear":[54],"discriminant":[55,106],"analysis":[56],"maximize":[58],"discriminative":[60],"capability":[61],"after":[62],"projection.":[65],"robustness":[67],"lies":[71],"in":[72,80,108],"exploiting":[73],"appearance":[75],"discrimination":[76],"cluttered":[81],"scenarios":[82],"with":[83],"varying":[84],"illumination":[85],"conditions.":[86],"scheme":[88,102],"embedded":[90],"into":[91],"mean-shift":[93],"system":[95],"and":[96,112],"experimental":[98],"results":[99],"show":[100],"our":[101],"can":[103],"enhance":[104],"characters":[107],"changing":[110],"environment":[111],"hence":[113],"producing":[114],"robust":[115],"results.":[117]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
