{"id":"https://openalex.org/W2585340192","doi":"https://doi.org/10.1109/icinfa.2016.7832119","title":"Object tracking based on visual attention","display_name":"Object tracking based on visual attention","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2585340192","doi":"https://doi.org/10.1109/icinfa.2016.7832119","mag":"2585340192"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2016.7832119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2016.7832119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Information and Automation (ICIA)","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/A5113411971","display_name":"Mingqiang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingqiang Lin","raw_affiliation_strings":["Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Jinjiang, Fujian Province, China","Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences, Jinjiang, Fujian Province, China"],"affiliations":[{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Jinjiang, Fujian Province, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences, Jinjiang, Fujian Province, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044583128","display_name":"Houde Dai","orcid":"https://orcid.org/0000-0001-7417-7974"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houde Dai","raw_affiliation_strings":["Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Jinjiang, Fujian Province, China","Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences, Jinjiang, Fujian Province, China"],"affiliations":[{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Jinjiang, Fujian Province, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences, Jinjiang, Fujian Province, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113411971"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210151023"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68817024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1846","last_page":"1849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.868889570236206},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7762022018432617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7747135758399963},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6253509521484375},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6229710578918457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5485381484031677},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5165159106254578},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5051138997077942},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49198028445243835},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4765113890171051},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.47414371371269226},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.45511797070503235},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43095892667770386},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.42333975434303284},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41070273518562317}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.868889570236206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7762022018432617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7747135758399963},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6253509521484375},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6229710578918457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5485381484031677},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5165159106254578},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5051138997077942},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49198028445243835},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4765113890171051},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.47414371371269226},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.45511797070503235},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43095892667770386},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42333975434303284},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41070273518562317},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2016.7832119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2016.7832119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320322214","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1773419704","https://openalex.org/W2016075127","https://openalex.org/W2016309246","https://openalex.org/W2062084493","https://openalex.org/W2070019681","https://openalex.org/W2081690495","https://openalex.org/W2098613108","https://openalex.org/W2098941887","https://openalex.org/W2114235464","https://openalex.org/W2118246710","https://openalex.org/W2121193292","https://openalex.org/W2125907508","https://openalex.org/W2126736494","https://openalex.org/W2132103241","https://openalex.org/W2139047213","https://openalex.org/W2161369719","https://openalex.org/W2168300411","https://openalex.org/W2171909552","https://openalex.org/W4238804468","https://openalex.org/W6683533785"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W2130674020","https://openalex.org/W4239268388","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2965594636"],"abstract_inverted_index":{"Humans":[0],"have":[1],"the":[2,42,46,63,69,78,95],"capability":[3],"to":[4,40,57],"quickly":[5],"prioritize":[6],"external":[7],"visual":[8,31],"stimuli":[9],"and":[10,37,90,112],"localize":[11],"their":[12],"most":[13],"interest":[14],"in":[15],"a":[16,24,82],"scene.":[17],"Inspired":[18],"by":[19,76],"this":[20],"mechanism,":[21],"we":[22],"propose":[23],"robust":[25],"object":[26],"tracking":[27,102],"algorithm":[28],"based":[29,61],"on":[30,62],"attention.":[32],"We":[33],"fuse":[34],"motion":[35],"feature":[36,39,60,73],"color":[38],"estimate":[41],"target":[43],"state":[44],"under":[45],"guidance":[47],"of":[48,88],"saliency":[49,59],"map.":[50],"Principal":[51],"Component":[52],"Analysis":[53],"method":[54,79,97],"is":[55,74,81],"used":[56],"compute":[58],"dense":[64],"appearance":[65],"model":[66],"generated":[67],"from":[68],"background":[70,89,113],"templates.":[71],"Motion":[72],"extracted":[75],"using":[77],"which":[80],"Bayesian":[83],"decision":[84],"rule":[85],"for":[86],"classification":[87],"foreground.":[91],"Numerous":[92],"experiments":[93],"demonstrate":[94],"proposed":[96],"performs":[98],"well":[99],"against":[100],"state-of-the-art":[101],"methods":[103],"when":[104],"dealing":[105],"with":[106],"illumination":[107],"change,":[108],"pose":[109],"variation,":[110],"occlusion,":[111],"clutter":[114],"situations.":[115]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}