{"id":"https://openalex.org/W2036536159","doi":"https://doi.org/10.1109/rivf.2009.5174625","title":"Autonomous Learning for Tracking and Recognition","display_name":"Autonomous Learning for Tracking and Recognition","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2036536159","doi":"https://doi.org/10.1109/rivf.2009.5174625","mag":"2036536159"},"language":"en","primary_location":{"id":"doi:10.1109/rivf.2009.5174625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2009.5174625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE-RIVF International Conference on Computing and Communication Technologies","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/A5032960287","display_name":"Nguyen Dang Binh","orcid":"https://orcid.org/0000-0001-5713-4227"},"institutions":[{"id":"https://openalex.org/I4210095101","display_name":"Hue University","ror":"https://ror.org/00qaa6j11","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210095101"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Nguyen Dang Binh","raw_affiliation_strings":["Department of Information Technology,  College of Sciences, Hue University, Vietnam","Dept. of Inf. Technol., Hue Univ., Hue, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology,  College of Sciences, Hue University, Vietnam","institution_ids":["https://openalex.org/I4210095101"]},{"raw_affiliation_string":"Dept. of Inf. Technol., Hue Univ., Hue, Vietnam","institution_ids":["https://openalex.org/I4210095101"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032960287"],"corresponding_institution_ids":["https://openalex.org/I4210095101"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09715224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"8"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9966999888420105,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.7904012799263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7771228551864624},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7404332160949707},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6593790054321289},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6529538035392761},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5738220810890198},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5605171918869019},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4682145118713379},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4589245617389679},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.44601985812187195},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.44085782766342163},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4403277635574341},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4314737617969513},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4009665250778198},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.37891146540641785},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1331309974193573}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7904012799263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7771228551864624},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7404332160949707},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6593790054321289},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6529538035392761},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5738220810890198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5605171918869019},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4682145118713379},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4589245617389679},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.44601985812187195},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.44085782766342163},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4403277635574341},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4314737617969513},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4009665250778198},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.37891146540641785},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1331309974193573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rivf.2009.5174625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2009.5174625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE-RIVF International Conference on Computing and Communication Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W84379190","https://openalex.org/W1483535359","https://openalex.org/W1491121642","https://openalex.org/W1507570408","https://openalex.org/W1529840045","https://openalex.org/W1562083261","https://openalex.org/W1566031736","https://openalex.org/W1574664245","https://openalex.org/W1581156680","https://openalex.org/W1581978538","https://openalex.org/W1841132157","https://openalex.org/W1939232937","https://openalex.org/W1988790447","https://openalex.org/W1992825118","https://openalex.org/W1995903777","https://openalex.org/W2000326692","https://openalex.org/W2019253923","https://openalex.org/W2034328688","https://openalex.org/W2068576236","https://openalex.org/W2102786230","https://openalex.org/W2107990130","https://openalex.org/W2108767394","https://openalex.org/W2110744759","https://openalex.org/W2116683971","https://openalex.org/W2118340964","https://openalex.org/W2121601095","https://openalex.org/W2121680631","https://openalex.org/W2130103520","https://openalex.org/W2130322565","https://openalex.org/W2130506643","https://openalex.org/W2131296063","https://openalex.org/W2134223620","https://openalex.org/W2139047213","https://openalex.org/W2139770216","https://openalex.org/W2141109389","https://openalex.org/W2146221819","https://openalex.org/W2146820038","https://openalex.org/W2149077040","https://openalex.org/W2150000644","https://openalex.org/W2150057984","https://openalex.org/W2153927146","https://openalex.org/W2158169396","https://openalex.org/W2159620287","https://openalex.org/W2161969291","https://openalex.org/W2162064771","https://openalex.org/W2162919312","https://openalex.org/W2163352848","https://openalex.org/W2164416728","https://openalex.org/W2164598857","https://openalex.org/W2167789303","https://openalex.org/W2167828171","https://openalex.org/W2170865122","https://openalex.org/W2171481940","https://openalex.org/W2236520835","https://openalex.org/W2295262250","https://openalex.org/W2400267228","https://openalex.org/W2753461371","https://openalex.org/W3151111735","https://openalex.org/W4249279051","https://openalex.org/W6603352358","https://openalex.org/W6630531309","https://openalex.org/W6633472090","https://openalex.org/W6677799911","https://openalex.org/W6679388247","https://openalex.org/W6680615143","https://openalex.org/W6684492130"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2132541102","https://openalex.org/W2963010494","https://openalex.org/W2012200063","https://openalex.org/W2107332757","https://openalex.org/W2132182117"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,8,27,57],"efficient":[3],"approach":[4,102,136],"for":[5,60,92,103],"autonomous":[6],"learning":[7,55],"object":[9,28,58,93],"model":[10,59],"from":[11,30],"video":[12],"or":[13],"image":[14],"sequences.":[15],"The":[16],"idea":[17],"is":[18,98],"to":[19,24,81,99,121],"employ":[20],"online":[21],"boosting":[22],"technique":[23],"adaptively":[25],"learn":[26],"representation":[29],"only":[31],"as":[32,34],"few":[33],"one":[35],"labeled":[36],"training":[37],"sample.":[38],"Our":[39,95],"main":[40,96],"contributions":[41],"are:":[42],"(1)":[43],"A":[44],"robust":[45],"updating":[46],"strategy":[47],"of":[48,56,76,106,134],"a":[49,71,87],"discriminative":[50],"classifier,":[51],"which":[52],"allows":[53],"effective":[54],"tracking":[61,67,83,110],"and":[62,66,79,85,108,111],"recognition;":[63],"(2)":[64],"Learning":[65],"are":[68],"performed":[69],"in":[70],"single":[72],"procedure":[73],"with":[74],"possibility":[75],"reducing":[77],"drifting":[78],"ability":[80],"recover":[82],"failure;":[84],"(3)":[86],"simple":[88],"yet":[89],"reliable":[90],"framework":[91,117],"recognition.":[94,113],"concern":[97],"use":[100],"the":[101,104,115,132],"problem":[105],"hand":[107],"face":[109],"gesture":[112],"However,":[114],"proposed":[116],"can":[118],"be":[119],"applied":[120],"other":[122],"objects.":[123,144],"Experiments":[124],"on":[125,142],"different":[126,143],"data":[127],"sets":[128],"(publicity":[129],"available)":[130],"show":[131],"efficiency":[133],"our":[135],"over":[137],"very":[138],"recent":[139],"published":[140],"approaches":[141]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
