{"id":"https://openalex.org/W2001809629","doi":"https://doi.org/10.1109/indin.2012.6300871","title":"Robust objects tracking algorithm based on adaptive background updating","display_name":"Robust objects tracking algorithm based on adaptive background updating","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2001809629","doi":"https://doi.org/10.1109/indin.2012.6300871","mag":"2001809629"},"language":"en","primary_location":{"id":"doi:10.1109/indin.2012.6300871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin.2012.6300871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE 10th International Conference on Industrial Informatics","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/A5026288065","display_name":"Yi Wei","orcid":"https://orcid.org/0000-0002-3016-6816"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Wei","raw_affiliation_strings":["Science and Technology on Aircraft Control Laboratory, Digital Navigation Center, Beihang University, Beijing, China","Science and Technology on, Aircraft Control Laboratory, Beihang University, Beijing, 100191, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Aircraft Control Laboratory, Digital Navigation Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Science and Technology on, Aircraft Control Laboratory, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhao Long","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Long","raw_affiliation_strings":["Science and Technology on Aircraft Control Laboratory, Digital Navigation Center, Beihang University, Beijing, China","Science and Technology on, Aircraft Control Laboratory, Beihang University, Beijing, 100191, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Aircraft Control Laboratory, Digital Navigation Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Science and Technology on, Aircraft Control Laboratory, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026288065"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08072524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"190","last_page":"195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9952999949455261,"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"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9914000034332275,"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/mean-shift","display_name":"Mean-shift","score":0.7421690821647644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7304284572601318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7016076445579529},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6985523700714111},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6245985627174377},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6098014712333679},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5832626819610596},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5831727385520935},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5262041687965393},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.46904000639915466},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4583108127117157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4336378574371338},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.42880046367645264},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.42341285943984985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3067736327648163},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17446616291999817}],"concepts":[{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.7421690821647644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7304284572601318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7016076445579529},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6985523700714111},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6245985627174377},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6098014712333679},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5832626819610596},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5831727385520935},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5262041687965393},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.46904000639915466},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4583108127117157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4336378574371338},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42880046367645264},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.42341285943984985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3067736327648163},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17446616291999817},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/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/indin.2012.6300871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin.2012.6300871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE 10th International Conference on Industrial Informatics","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":17,"referenced_works":["https://openalex.org/W1500174731","https://openalex.org/W1974306404","https://openalex.org/W2014237445","https://openalex.org/W2019185972","https://openalex.org/W2092539569","https://openalex.org/W2105065484","https://openalex.org/W2113056476","https://openalex.org/W2114701396","https://openalex.org/W2116367120","https://openalex.org/W2117610950","https://openalex.org/W2122361470","https://openalex.org/W2138311529","https://openalex.org/W2146431583","https://openalex.org/W2147533695","https://openalex.org/W2334638694","https://openalex.org/W2350696862","https://openalex.org/W6681780711"],"related_works":["https://openalex.org/W1487824918","https://openalex.org/W2386156666","https://openalex.org/W2349207614","https://openalex.org/W2335246570","https://openalex.org/W1980446522","https://openalex.org/W2492453441","https://openalex.org/W2365415794","https://openalex.org/W2290997524","https://openalex.org/W2513707623","https://openalex.org/W1985706094"],"abstract_inverted_index":{"For":[0],"solving":[1],"the":[2,51,60,77,80,110,113,116],"problem":[3],"of":[4,25,53,93,112],"false":[5],"tracking":[6,41],"by":[7,35,68,79,100],"Continuously":[8],"Adaptive":[9],"Mean":[10],"Shift":[11],"(CAMSHIFT)":[12],"algorithm":[13,42,86,96,117],"when":[14],"sharing":[15],"significant":[16],"color":[17],"similarity":[18],"between":[19],"object":[20,26,34,67,78],"and":[21,23,55,124],"background":[22,83],"changes":[24],"color,":[27],"moreover,":[28],"for":[29],"avoiding":[30],"selecting":[31],"initial":[32],"target":[33],"hand,":[36],"an":[37,69],"adaptive":[38,82],"robust":[39,123],"objects":[40],"based":[43],"on":[44,103],"active":[45],"camera":[46],"is":[47,121],"proposed.":[48],"It":[49],"uses":[50],"disparity":[52],"global":[54],"local":[56],"motion":[57,61],"to":[58,109],"detect":[59],"area.":[62],"Then,":[63],"it":[64,75],"segments":[65],"each":[66],"improved":[70,81],"K-Mean":[71],"clustering":[72],"algorithm.":[73],"Finally,":[74],"tracks":[76],"updating":[84],"CAMSHIFT":[85],"continuously":[87],"in":[88,118],"real":[89,104],"time.":[90],"The":[91],"effectiveness":[92],"this":[94,119],"proposed":[95],"has":[97],"been":[98],"proved":[99],"preceding":[101],"experiments":[102],"time":[105],"video":[106],"sources.":[107],"Compared":[108],"state":[111],"art":[114],"methods,":[115],"paper":[120],"more":[122],"effective.":[125]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}