{"id":"https://openalex.org/W2771156424","doi":"https://doi.org/10.1109/smc.2017.8122713","title":"Occlusion handling of visual tracking by fusing multiple visual clues","display_name":"Occlusion handling of visual tracking by fusing multiple visual clues","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2771156424","doi":"https://doi.org/10.1109/smc.2017.8122713","mag":"2771156424"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8122713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103013528","display_name":"Cheng\u2010Ming Huang","orcid":"https://orcid.org/0000-0003-1648-8672"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Ming Huang","raw_affiliation_strings":["Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033612483","display_name":"Bo-Wei Jiang","orcid":"https://orcid.org/0000-0003-3825-0710"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bo-Wei Jiang","raw_affiliation_strings":["Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118292597"],"apc_list":null,"apc_paid":null,"fwci":0.3184,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68935085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"29","issue":null,"first_page":"836","last_page":"839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9907000064849854,"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/computer-vision","display_name":"Computer vision","score":0.8700326085090637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8431611657142639},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7812110185623169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7004489898681641},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5737861394882202},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.556121826171875},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.5488824844360352},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4585449993610382}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8700326085090637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8431611657142639},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7812110185623169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7004489898681641},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5737861394882202},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.556121826171875},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.5488824844360352},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4585449993610382},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2017.8122713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1482579857","https://openalex.org/W1969599849","https://openalex.org/W1970387420","https://openalex.org/W1979430405","https://openalex.org/W2006224698","https://openalex.org/W2007068928","https://openalex.org/W2026201308","https://openalex.org/W2042016549","https://openalex.org/W2067279732","https://openalex.org/W2101542597","https://openalex.org/W2102266604","https://openalex.org/W2110278857","https://openalex.org/W2145221587","https://openalex.org/W2153215545","https://openalex.org/W2161406034","https://openalex.org/W2334671658","https://openalex.org/W2487915018","https://openalex.org/W6675445747"],"related_works":["https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2767646790","https://openalex.org/W2352041579","https://openalex.org/W1488006380","https://openalex.org/W2138381686","https://openalex.org/W2141585124","https://openalex.org/W1998176685","https://openalex.org/W3123883311","https://openalex.org/W2032175896"],"abstract_inverted_index":{"In":[0],"this":[1,130],"paper,":[2],"a":[3,82],"robust":[4],"visual":[5],"tracking":[6,59,176,194],"system":[7],"with":[8,17,41,126],"occlusion":[9,122,165],"handling":[10],"is":[11,88,160],"proposed":[12,89,183],"to":[13,45,91,110,191],"track":[14,46],"the":[15,26,30,34,42,47,50,57,62,66,72,94,103,112,118,133,136,144,147,153,164,168,173,182,193],"target":[16,31,48,73,119,157],"real-time":[18,127],"performance.":[19,128,195],"The":[20,99],"thermal":[21,67,106,150],"camera,":[22,68],"which":[23,69],"can":[24,39,123,177],"observe":[25],"heat":[27],"originated":[28],"from":[29],"such":[32,116,171],"as":[33],"human":[35],"body":[36],"or":[37,53],"vehicle,":[38],"collaborate":[40],"color":[43,63,104,148],"camera":[44,64],"in":[49,75,102,146,188],"cluttered":[51],"environment":[52],"under":[54,120],"occlusion.":[55],"Unlike":[56],"general":[58],"by":[60,141,162],"using":[61],"and":[65,96,105,135,149,167],"simply":[70],"verifies":[71],"hypotheses":[74,95,101,145],"these":[76],"two":[77],"kinds":[78],"of":[79,156,175],"image":[80,158],"domains,":[81],"sampling":[83],"multiple":[84],"importance":[85],"resampling":[86,131],"scheme":[87],"here":[90],"efficiently":[92],"generate":[93],"verify":[97],"them.":[98],"better":[100],"images":[107],"are":[108,138],"selected":[109],"evaluate":[111],"sparse":[113],"appearance":[114],"representation":[115],"that":[117,172],"severe":[121],"be":[124,178],"identified":[125],"Using":[129],"scheme,":[132],"diversity":[134],"convergency":[137],"simultaneously":[139],"considered":[140],"adaptively":[142],"fusing":[143],"images.":[151],"Moreover,":[152],"updating":[154],"strategy":[155],"model":[159],"designed":[161],"estimating":[163],"ratio":[166],"environmental":[169],"similarity":[170],"robustness":[174],"greatly":[179],"increased.":[180],"Finally,":[181],"approaches":[184],"have":[185],"been":[186],"validated":[187],"several":[189],"scenes":[190],"present":[192]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}