{"id":"https://openalex.org/W4200338126","doi":"https://doi.org/10.1109/iccais52680.2021.9624616","title":"The Depth feature adaptive fusion vision tracking algorithm based on game theory","display_name":"The Depth feature adaptive fusion vision tracking algorithm based on game theory","publication_year":2021,"publication_date":"2021-10-14","ids":{"openalex":"https://openalex.org/W4200338126","doi":"https://doi.org/10.1109/iccais52680.2021.9624616"},"language":"en","primary_location":{"id":"doi:10.1109/iccais52680.2021.9624616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais52680.2021.9624616","pdf_url":null,"source":{"id":"https://openalex.org/S4363608071","display_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","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":null,"display_name":"Hou Zhiqiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hou Zhiqiang","raw_affiliation_strings":["School of computing, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of computing, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047724457","display_name":"Fan Guo","orcid":"https://orcid.org/0000-0002-4515-6282"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Fan","raw_affiliation_strings":["School of computing, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of computing, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058132192","display_name":"Jingjing Guo","orcid":"https://orcid.org/0000-0002-7249-5159"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Jingjing","raw_affiliation_strings":["School of computing, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of computing, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722691","display_name":"Chengyu Zhang","orcid":"https://orcid.org/0000-0002-7285-289X"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Chengyu","raw_affiliation_strings":["School of computing, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of computing, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068927949","display_name":"Sugang Ma","orcid":"https://orcid.org/0000-0002-8588-8111"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ma Sugang","raw_affiliation_strings":["School of computing, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of computing, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13799027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","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":0.9997000098228455,"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":0.9997000098228455,"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":0.9778000116348267,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9628000259399414,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.753259539604187},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7208455801010132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6927999258041382},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5928832292556763},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5689378976821899},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5183706879615784},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4969628155231476},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48049724102020264},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4604620933532715},{"id":"https://openalex.org/keywords/feature-tracking","display_name":"Feature tracking","score":0.4596118628978729},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.446724534034729},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.39581066370010376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3736213743686676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.753259539604187},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7208455801010132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6927999258041382},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5928832292556763},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5689378976821899},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5183706879615784},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4969628155231476},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48049724102020264},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4604620933532715},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.4596118628978729},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.446724534034729},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.39581066370010376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3736213743686676},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais52680.2021.9624616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais52680.2021.9624616","pdf_url":null,"source":{"id":"https://openalex.org/S4363608071","display_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","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":6,"referenced_works":["https://openalex.org/W1915785815","https://openalex.org/W1997121481","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2930292903","https://openalex.org/W2964111344"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2313428794","https://openalex.org/W2891212077","https://openalex.org/W2079319211","https://openalex.org/W3117562764","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2071822089"],"abstract_inverted_index":{"Multi-feature":[0],"fusion":[1,21,37],"in":[2,147],"convolutional":[3],"neural":[4],"network":[5,47],"can":[6,134],"effectively":[7,135],"improve":[8,136],"the":[9,52,58,62,70,80,93,97,103,106,109,126,131,137],"robustness":[10],"of":[11,57,82,96,105],"visual":[12,38,117],"tracking":[13,39,94,118,138],"algorithm,":[14,108],"but":[15],"how":[16],"to":[17,50,67,75,79,85,101],"carry":[18],"out":[19],"multi-feature":[20],"is":[22,48,65,112],"a":[23,33,87],"key":[24],"problem.":[25],"Aiming":[26],"at":[27],"this":[28,30],"problem,":[29],"paper":[31],"proposes":[32],"depth":[34],"feature":[35,84],"adaptive":[36],"algorithm":[40,111,133],"based":[41],"on":[42,120],"game":[43,63,69],"theory.":[44],"Firstly,":[45],"VGG19":[46],"used":[49,66],"extract":[51],"shallow":[53,71],"and":[54,60,72,90,122,141,143,152],"deep":[55,73],"features":[56,74],"target,":[59],"then":[61],"theory":[64],"continuously":[68],"give":[76],"full":[77],"play":[78],"advantages":[81,146],"each":[83],"achieve":[86],"balanced":[88],"state,":[89],"finally":[91],"get":[92],"results":[95,128],"target.":[98],"In":[99],"order":[100],"evaluate":[102],"performance":[104],"proposed":[107,110,132],"compared":[113],"with":[114],"other":[115,153],"popular":[116],"algorithms":[119],"OTB100":[121],"TC128":[123],"datasets":[124],"respectively,":[125],"experimental":[127],"show":[129],"that":[130],"success":[139],"rate":[140],"accuracy,":[142],"has":[144],"obvious":[145],"fast":[148],"motion,":[149],"motion":[150],"blur":[151],"attributes.":[154]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
