{"id":"https://openalex.org/W2360412625","doi":null,"title":"Video Object Tracking Algorithm for Augmented Reality","display_name":"Video Object Tracking Algorithm for Augmented Reality","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2360412625","mag":"2360412625"},"language":"en","primary_location":{"id":"mag:2360412625","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTotal-JSJC201012081.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764825856","display_name":"Jisuanji gongcheng","issn_l":"1000-3428","issn":["1000-3428"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","poland-20"],"host_organization":"https://openalex.org/P4361727472","host_organization_name":"East China Computer Technology Research Institute","host_organization_lineage":["https://openalex.org/P4361727472"],"host_organization_lineage_names":["East China Computer Technology Research Institute"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Jisuanji gongcheng","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5041214323","display_name":"Zhengwei Yao","orcid":"https://orcid.org/0000-0001-5280-1908","observed_orcids":["https://orcid.org/0000-0001-5280-1908"]},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengwei Yao","raw_affiliation_strings":["School of Computer Engineering and Science , Shanghai University , Shanghai 200072)"],"raw_orcid":"https://orcid.org/0000-0001-5280-1908","affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science , Shanghai University , Shanghai 200072)","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041214323"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.3307,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64440863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9243000149726868,"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":0.9243000149726868,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0681999996304512,"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/T10888","display_name":"Augmented Reality Applications","score":0.0013000000035390258,"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/video-object-tracking","display_name":"video object tracking","score":0.9980000257492065},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"augmented reality","score":0.9929999709129333},{"id":"https://openalex.org/keywords/sift-keypoints","display_name":"SIFT keypoints","score":0.8029999732971191},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.9620000123977661},{"id":"https://openalex.org/keywords/contour-detection","display_name":"contour detection","score":0.984000027179718},{"id":"https://openalex.org/keywords/keypoint-matching","display_name":"feature point matching","score":0.7609999775886536}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8333161473274231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8184340000152588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6991559267044067},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6706585884094238},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6608960032463074},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6076393127441406},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5653924942016602},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5611032247543335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36496633291244507},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35129955410957336},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25592055916786194},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2360412625","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTotal-JSJC201012081.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764825856","display_name":"Jisuanji gongcheng","issn_l":"1000-3428","issn":["1000-3428"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","poland-20"],"host_organization":"https://openalex.org/P4361727472","host_organization_name":"East China Computer Technology Research Institute","host_organization_lineage":["https://openalex.org/P4361727472"],"host_organization_lineage_names":["East China Computer Technology Research Institute"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Jisuanji gongcheng","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1592932203","https://openalex.org/W2052094314","https://openalex.org/W2106019631","https://openalex.org/W2111804516","https://openalex.org/W2151103935"],"related_works":["https://openalex.org/W2003413472","https://openalex.org/W2365257421","https://openalex.org/W2097043044","https://openalex.org/W2537141224","https://openalex.org/W2920841293","https://openalex.org/W7104181519","https://openalex.org/W2358432964","https://openalex.org/W2086300706","https://openalex.org/W2035906147","https://openalex.org/W2103366703"],"abstract_inverted_index":{"According":[0],"to":[1,34,48,60,92,98],"the":[2,36,40,50,64,73,82,87,94,100,105,113],"application":[3],"requirement":[4],"of":[5,115],"Augmented":[6],"Reality(AR)":[7],"in":[8],"video":[9,15],"object":[10,16,51,66,74,83,95],"tracking,this":[11],"paper":[12],"proposes":[13],"a":[14],"tracking":[17],"algorithm":[18,26,45,106],"based":[19],"on":[20],"Scale-Invariant":[21],"Feature":[22],"Transform(SIFT)":[23],"operator,K-means":[24],"clustering":[25,44],"and":[27,71,109],"contour":[28,56],"detection.The":[29],"reduced":[30],"SIFT":[31],"is":[32,46,58,79,107],"applied":[33,47,59],"get":[35,61],"feature":[37,52,67,75,84,96],"points":[38,53,70,85,97],"from":[39,63,81],"input":[41],"image.The":[42],"K-means":[43],"cluster":[49],"approximatively.The":[54],"improved":[55],"process":[57],"outlines":[62],"clustered":[65],"points,removes":[68],"isolation":[69],"determines":[72],"points.The":[76],"registered":[77],"point":[78],"got":[80],"set.In":[86],"key":[88],"frame,it":[89],"only":[90],"needs":[91],"use":[93],"match":[99],"object.Experimental":[101],"results":[102],"show":[103],"that":[104],"fast":[108],"accurate.It":[110],"can":[111],"meet":[112],"need":[114],"AR":[116],"registering.":[117]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}