{"id":"https://openalex.org/W1991321630","doi":"https://doi.org/10.1145/2499788.2499825","title":"Using appearance re-matching to improve real-time compressive tracking","display_name":"Using appearance re-matching to improve real-time compressive tracking","publication_year":2013,"publication_date":"2013-08-17","ids":{"openalex":"https://openalex.org/W1991321630","doi":"https://doi.org/10.1145/2499788.2499825","mag":"1991321630"},"language":"en","primary_location":{"id":"doi:10.1145/2499788.2499825","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2499788.2499825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service","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/A5100703947","display_name":"Jing Jing","orcid":"https://orcid.org/0000-0003-1394-4273"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Jing","raw_affiliation_strings":["Three Gorges University, Yichang"],"affiliations":[{"raw_affiliation_string":"Three Gorges University, Yichang","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101141048","display_name":"Guangzhu Xu","orcid":"https://orcid.org/0009-0004-7154-9831"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangzhu Xu","raw_affiliation_strings":["Three Gorges University, Yichang"],"affiliations":[{"raw_affiliation_string":"Three Gorges University, Yichang","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101522456","display_name":"Bangjun Lei","orcid":"https://orcid.org/0000-0001-8347-564X"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangjun Lei","raw_affiliation_strings":["Three Gorges University, Yichang"],"affiliations":[{"raw_affiliation_string":"Three Gorges University, Yichang","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086967620","display_name":"He Yan","orcid":"https://orcid.org/0000-0002-6135-3809"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan He","raw_affiliation_strings":["Three Gorges University, Yichang"],"affiliations":[{"raw_affiliation_string":"Three Gorges University, Yichang","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102108271","display_name":"Fangmin Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangmin Dong","raw_affiliation_strings":["Three Gorges University, Yichang"],"affiliations":[{"raw_affiliation_string":"Three Gorges University, Yichang","institution_ids":["https://openalex.org/I161350542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100703947"],"corresponding_institution_ids":["https://openalex.org/I161350542"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06618808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.989300012588501,"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":0.7954193353652954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7228394746780396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7105165123939514},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6407965421676636},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5200159549713135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5047818422317505},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47642359137535095},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4170440435409546},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.30382239818573}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7954193353652954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7228394746780396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7105165123939514},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6407965421676636},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5200159549713135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5047818422317505},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47642359137535095},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4170440435409546},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.30382239818573},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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:10.1145/2499788.2499825","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2499788.2499825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1807914171","https://openalex.org/W1995903777","https://openalex.org/W1998270547","https://openalex.org/W2000326692","https://openalex.org/W2109579504","https://openalex.org/W2113577207","https://openalex.org/W2129131372","https://openalex.org/W2129638195","https://openalex.org/W2132103241","https://openalex.org/W2139047213","https://openalex.org/W2150000644","https://openalex.org/W2165037244","https://openalex.org/W2293873019","https://openalex.org/W2296616510","https://openalex.org/W2753461371","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W4292830139","https://openalex.org/W2968379562","https://openalex.org/W4319309705","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983"],"abstract_inverted_index":{"A":[0],"small":[1],"number":[2],"of":[3,11,15,34,74,100,127],"randomly":[4],"generated":[5],"linear":[6],"measurements":[7,26],"can":[8,29],"preserve":[9],"most":[10],"the":[12,32,42,62,94,98,106,118,133],"salient":[13],"information":[14],"one":[16],"compressible":[17],"image":[18],"according":[19],"to":[20,54,60,88,115],"compress":[21],"sensing":[22],"theory.":[23],"Using":[24],"these":[25],"as":[27],"features":[28,73],"greatly":[30],"improve":[31,61],"speed":[33],"detection":[35],"based":[36],"tracking":[37,67,102,120],"methods,":[38],"and":[39,51,76],"deal":[40],"with":[41,84,111],"problems":[43],"caused":[44],"by":[45],"occlusion,":[46],"illumination":[47],"change,":[48],"pose":[49],"variation":[50],"motion":[52],"blur":[53],"some":[55],"extent.":[56],"This":[57],"paper":[58],"addressed":[59],"state-of-the-art":[63],"real-time":[64,92],"compressive":[65],"object":[66,75,90],"algorithm,":[68],"which":[69],"extracted":[70],"low-dimensional":[71],"multistate":[72],"background,":[77],"then":[78],"used":[79],"na\u00efve":[80],"Bayesian":[81],"classifier":[82],"combined":[83],"online":[85,112],"updating":[86],"mechanism":[87],"track":[89],"in":[91,125],"under":[93],"compressed":[95],"domain.":[96],"On":[97],"basis":[99],"its":[101],"results,":[103],"we":[104],"rematch":[105],"first":[107],"30":[108],"candidate":[109],"targets":[110],"appearance":[113],"model":[114],"search":[116],"for":[117],"optimum":[119],"position.":[121],"The":[122],"experimental":[123],"results":[124],"lot":[126],"challenging":[128],"test":[129],"sequences":[130],"show":[131],"that":[132],"proposed":[134],"algorithm":[135],"has":[136],"promising":[137],"potential.":[138]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
