{"id":"https://openalex.org/W2164321299","doi":"https://doi.org/10.1109/icip.2008.4712179","title":"Adaptive feature-spatial representation for Mean-shift tracker","display_name":"Adaptive feature-spatial representation for Mean-shift tracker","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2164321299","doi":"https://doi.org/10.1109/icip.2008.4712179","mag":"2164321299"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5102001806","display_name":"Ying Shi","orcid":"https://orcid.org/0000-0002-6495-305X"},"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":"Ying Shi","raw_affiliation_strings":["Key Laboratory of Machine Perception and Intelligent, Shenzhen Graduate School, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception and Intelligent, Shenzhen Graduate School, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410286","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-0896-8409"},"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 Intelligent, Shenzhen Graduate School, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception and Intelligent, Shenzhen Graduate School, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330514","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-2854-9674"},"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":"Yi Liu","raw_affiliation_strings":["Key Laboratory of Machine Perception and Intelligent, Shenzhen Graduate School, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception and Intelligent, Shenzhen Graduate School, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017031914","display_name":"Hongbin Zha","orcid":"https://orcid.org/0000-0001-5860-4673"},"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":"Hongbin Zha","raw_affiliation_strings":["Key Laboratory of Machine Perception and Intelligent, Shenzhen Graduate School, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception and Intelligent, Shenzhen Graduate School, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102001806"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.7024,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76214205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"2012","last_page":"2015"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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":0.9887999892234802,"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/mean-shift","display_name":"Mean-shift","score":0.873126208782196},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7599589228630066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.72508305311203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7122610807418823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6994488835334778},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6806126832962036},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6209419965744019},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5286719799041748},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4852166473865509},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4662787914276123},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4385886490345001},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43708282709121704},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.39008188247680664},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.24834227561950684}],"concepts":[{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.873126208782196},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7599589228630066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.72508305311203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7122610807418823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6994488835334778},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6806126832962036},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6209419965744019},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5286719799041748},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4852166473865509},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4662787914276123},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4385886490345001},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43708282709121704},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.39008188247680664},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.24834227561950684},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2008.4712179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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":9,"referenced_works":["https://openalex.org/W2110116545","https://openalex.org/W2112587444","https://openalex.org/W2127850685","https://openalex.org/W2132103241","https://openalex.org/W2140345984","https://openalex.org/W2159128898","https://openalex.org/W2159686856","https://openalex.org/W2161950332","https://openalex.org/W6680812586"],"related_works":["https://openalex.org/W2351488884","https://openalex.org/W2057178930","https://openalex.org/W2358580902","https://openalex.org/W2914048681","https://openalex.org/W2348934962","https://openalex.org/W2806679586","https://openalex.org/W2897637803","https://openalex.org/W1984282557","https://openalex.org/W3216131935","https://openalex.org/W3183897436"],"abstract_inverted_index":{"Mean-shift":[0],"tracker":[1],"plays":[2],"an":[3,74],"important":[4],"role":[5],"in":[6,14],"computer":[7],"vision":[8],"applications":[9],"due":[10],"to":[11,32,59,72,127],"its":[12],"efficiency":[13],"mode":[15],"seeking.":[16],"By":[17,82],"encoding":[18,83],"the":[19,23,35,43,46,87,101,120,128],"spatial":[20,47],"information":[21],"appropriately,":[22],"robustness":[24],"of":[25,40,42,86,93,123],"tracking":[26,44,88],"could":[27],"be":[28,51,60,110],"greatly":[29],"enhanced.":[30],"However,":[31],"account":[33],"for":[34,79],"deformation":[36],"and":[37,54,96,106],"other":[38],"sources":[39],"variation":[41],"object,":[45],"configuration":[48],"should":[49],"not":[50],"fixed":[52],"apriori":[53],"it":[55],"is":[56],"more":[57],"suitable":[58],"adapted":[61],"online.":[62],"To":[63],"this":[64,66],"end,":[65],"paper":[67],"presents":[68],"a":[69,91],"novel":[70],"method":[71],"formulate":[73],"adaptive":[75],"feature-spatial":[76],"representation":[77],"(FSR)":[78],"mean-shift":[80,130],"tracking.":[81],"blocking":[84],"features":[85],"object":[89,102],"with":[90],"set":[92],"adaptively":[94],"weighted":[95],"spatially":[97],"distributed":[98],"tunable":[99],"kernels,":[100],"variations,":[103],"like":[104],"deformations":[105],"partial":[107],"occlusions,":[108],"can":[109],"handled":[111],"appropriately.":[112],"Extensive":[113],"experiments":[114],"under":[115],"various":[116],"conditions":[117],"clearly":[118],"demonstrate":[119],"obvious":[121],"advantage":[122],"our":[124],"approach":[125],"compared":[126],"classical":[129],"trackers.":[131]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}