{"id":"https://openalex.org/W1975755814","doi":"https://doi.org/10.1109/mfi.2012.6342998","title":"Robust visual tracking based on adaptive depth-color-cue integration using range sensor","display_name":"Robust visual tracking based on adaptive depth-color-cue integration using range sensor","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W1975755814","doi":"https://doi.org/10.1109/mfi.2012.6342998","mag":"1975755814"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2012.6342998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2012.6342998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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/A5100428564","display_name":"Can Wang","orcid":"https://orcid.org/0000-0002-0914-3994"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Can Wang","raw_affiliation_strings":["Key Laboratory of Integrated Microsystems Shenzhen Graduate School, Peking University, Beijing, China","Key Laboratory of Integrated Microsystems, Shenzhen Graduate School, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Integrated Microsystems Shenzhen Graduate School, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Integrated Microsystems, Shenzhen Graduate School, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100410326","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-7498-6541"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Key Laboratory of Machine Perception and Intelligence, Shenzhen Graduate School, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception and Intelligence, Shenzhen Graduate School, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100428564"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.0982,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78436936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"330","last_page":"335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9958000183105469,"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":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8049731254577637},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7638604640960693},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7561246156692505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6717178821563721},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6010407209396362},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.5328477025032043},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5277579426765442},{"id":"https://openalex.org/keywords/sensory-cue","display_name":"Sensory cue","score":0.42878177762031555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35809874534606934}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8049731254577637},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7638604640960693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7561246156692505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6717178821563721},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6010407209396362},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.5328477025032043},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5277579426765442},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.42878177762031555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35809874534606934},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi.2012.6342998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2012.6342998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1484600405","https://openalex.org/W1511290209","https://openalex.org/W1595217348","https://openalex.org/W1972071918","https://openalex.org/W2036310903","https://openalex.org/W2060280062","https://openalex.org/W2098669323","https://openalex.org/W2111919691","https://openalex.org/W2115060615","https://openalex.org/W2124081409","https://openalex.org/W2124211486","https://openalex.org/W2132103241","https://openalex.org/W2143597234","https://openalex.org/W2149270732","https://openalex.org/W2160337655","https://openalex.org/W2164286352","https://openalex.org/W2169172998","https://openalex.org/W2172156083","https://openalex.org/W2334638694","https://openalex.org/W2543696449","https://openalex.org/W6629064492","https://openalex.org/W6635397906","https://openalex.org/W6643221819","https://openalex.org/W6676903481","https://openalex.org/W6678512814"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2351488884","https://openalex.org/W2358580902","https://openalex.org/W2348934962","https://openalex.org/W2897637803","https://openalex.org/W2379834692","https://openalex.org/W2364097328","https://openalex.org/W2353915084","https://openalex.org/W3137627078","https://openalex.org/W2349927973"],"abstract_inverted_index":{"In":[0],"visual":[1],"tracking":[2,134],"field,":[3],"multi-cue":[4],"integration":[5,34],"has":[6],"been":[7],"researched":[8],"extensively,":[9],"but":[10],"only":[11],"color-based":[12],"method":[13,69],"still":[14],"suffers":[15],"from":[16],"illumination":[17],"changes,":[18],"color-similar":[19],"background":[20,109],"or":[21],"complete":[22],"occlusion.":[23],"To":[24],"overcome":[25],"these":[26],"shortages,":[27],"this":[28,132],"paper":[29],"presents":[30],"an":[31],"adaptive":[32],"depth-color-cue":[33],"framework":[35],"for":[36,47,59,118],"Mean-shift":[37,119],"tracking.":[38,79,120],"The":[39],"state-of-art":[40],"2D":[41],"rectangles":[42],"evolves":[43],"to":[44,72,87],"3D":[45],"cubes":[46],"representing":[48,60],"target":[49,61,106],"region,":[50],"and":[51,53,108,129],"depth":[52],"color":[54],"cues":[55,77,98],"are":[56,99,102,116],"combined":[57],"together":[58],"appearance.":[62],"Moreover,":[63],"a":[64,81],"novel":[65],"depth-data-based":[66],"motion":[67,76],"detection":[68],"is":[70,85],"introduced":[71],"get":[73],"more":[74],"reliable":[75,97],"during":[78],"Furthermore,":[80],"reliability":[82,128],"evaluation":[83],"function":[84],"proposed":[86],"tune":[88],"cues'":[89,112],"weights":[90],"based":[91],"on":[92],"the":[93,127],"assumption":[94],"that":[95],"most":[96,103],"those":[100],"which":[101],"discriminative":[104],"between":[105],"region":[107],"regions.":[110],"Finally,":[111],"probability":[113],"distribution":[114],"maps":[115],"integrated":[117],"Extensive":[121],"experiments":[122],"under":[123],"various":[124],"conditions":[125],"demonstrate":[126],"robustness":[130],"of":[131],"depth-color-integrated":[133],"framework.":[135]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}