{"id":"https://openalex.org/W2049670908","doi":"https://doi.org/10.1109/robio.2013.6739608","title":"Infrared and visible imagery fusion based on region saliency detection for 24-hour-surveillance systems","display_name":"Infrared and visible imagery fusion based on region saliency detection for 24-hour-surveillance systems","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2049670908","doi":"https://doi.org/10.1109/robio.2013.6739608","mag":"2049670908"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2013.6739608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5063481976","display_name":"Baolong Zhao","orcid":"https://orcid.org/0000-0003-4301-7366"},"institutions":[{"id":"https://openalex.org/I4210154323","display_name":"China Central Television","ror":"https://ror.org/059h8x781","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210154323"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baolong Zhao","raw_affiliation_strings":["Shenzhen National Engineering Laboratory of Digital Television Co.,Ltd, Shenzhen, CHINA","Shenzhen Nat. Eng. Lab. of Digital Telev. Co., Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen National Engineering Laboratory of Digital Television Co.,Ltd, Shenzhen, CHINA","institution_ids":["https://openalex.org/I4210154323"]},{"raw_affiliation_string":"Shenzhen Nat. Eng. Lab. of Digital Telev. Co., Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046364934","display_name":"Zehui Li","orcid":"https://orcid.org/0000-0002-9651-9063"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"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":"Zehui Li","raw_affiliation_strings":["Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Shenzhen Graduate School, Shenzhen, CHINA","Eng. Lab. on Intell. Perception for Internet of Things (ELIP), Peking Univ., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Shenzhen Graduate School, Shenzhen, CHINA","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Eng. Lab. on Intell. Perception for Internet of Things (ELIP), Peking Univ., Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705472","display_name":"Mengyuan Liu","orcid":"https://orcid.org/0000-0002-6332-8316"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"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":"Mengyuan Liu","raw_affiliation_strings":["Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Shenzhen Graduate School, Shenzhen, CHINA","Eng. Lab. on Intell. Perception for Internet of Things (ELIP), Peking Univ., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Shenzhen Graduate School, Shenzhen, CHINA","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Eng. Lab. on Intell. Perception for Internet of Things (ELIP), Peking Univ., Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042906969","display_name":"Wen Cao","orcid":"https://orcid.org/0000-0002-6273-323X"},"institutions":[{"id":"https://openalex.org/I4210154323","display_name":"China Central Television","ror":"https://ror.org/059h8x781","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210154323"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Cao","raw_affiliation_strings":["Shenzhen National Engineering Laboratory of Digital Television Co.,Ltd, Shenzhen, CHINA","Shenzhen Nat. Eng. Lab. of Digital Telev. Co., Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen National Engineering Laboratory of Digital Television Co.,Ltd, Shenzhen, CHINA","institution_ids":["https://openalex.org/I4210154323"]},{"raw_affiliation_string":"Shenzhen Nat. Eng. Lab. of Digital Telev. Co., Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100410326","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-7498-6541"},"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":["Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Peking University, Beijing, CHINA","Eng. Lab. on Intell. Perception for Internet of Things (ELIP), Peking Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Peking University, Beijing, CHINA","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Eng. Lab. on Intell. Perception for Internet of Things (ELIP), Peking Univ., Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063481976"],"corresponding_institution_ids":["https://openalex.org/I4210154323"],"apc_list":null,"apc_paid":null,"fwci":0.4818,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70826931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1083","last_page":"1088"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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/T11605","display_name":"Visual Attention and Saliency Detection","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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9986000061035156,"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/background-subtraction","display_name":"Background subtraction","score":0.8009177446365356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7804149985313416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7321934700012207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7153968214988708},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5910878777503967},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5753018856048584},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4693732261657715},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4422873854637146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35575807094573975},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28574514389038086},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.20895138382911682},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07491332292556763}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.8009177446365356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804149985313416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7321934700012207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7153968214988708},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5910878777503967},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5753018856048584},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4693732261657715},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4422873854637146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35575807094573975},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28574514389038086},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.20895138382911682},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07491332292556763}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2013.6739608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":19,"referenced_works":["https://openalex.org/W1536086113","https://openalex.org/W1928965571","https://openalex.org/W2015148749","https://openalex.org/W2016134119","https://openalex.org/W2028555274","https://openalex.org/W2047506309","https://openalex.org/W2085664974","https://openalex.org/W2088133862","https://openalex.org/W2106002835","https://openalex.org/W2112002649","https://openalex.org/W2117853853","https://openalex.org/W2128272608","https://openalex.org/W2131168375","https://openalex.org/W2132746638","https://openalex.org/W2144502914","https://openalex.org/W2146103513","https://openalex.org/W2161950332","https://openalex.org/W2537316247","https://openalex.org/W2664090638"],"related_works":["https://openalex.org/W2188430267","https://openalex.org/W2610698896","https://openalex.org/W2369265144","https://openalex.org/W2329500892","https://openalex.org/W1575672096","https://openalex.org/W2161219919","https://openalex.org/W1987287817","https://openalex.org/W2123129869","https://openalex.org/W3031536623","https://openalex.org/W3094443322"],"abstract_inverted_index":{"With":[0],"the":[1,24,32,49,64,114],"growing":[2],"demand":[3],"for":[4,18,108,131,162],"security,":[5],"video":[6],"surveillance":[7,20,36],"is":[8,14,71,138,160],"becoming":[9,72],"increasingly":[10],"important.":[11],"And":[12,134],"persistence":[13],"a":[15,73,83],"key":[16],"indicator":[17],"intelligent":[19],"systems":[21,37],"which":[22],"means":[23],"ability":[25],"to":[26,81],"fit":[27],"24":[28],"hoursall-weather":[29],"work.":[30],"While":[31],"performances":[33],"of":[34,66,124,143,150],"traditional":[35],"are":[38,95,121],"limited":[39],"since":[40],"they":[41],"can":[42],"only":[43],"gain":[44],"either":[45],"visible":[46,93],"images":[47,53,67,94,120,127],"during":[48],"day":[50,85],"or":[51],"intensity":[52],"in":[54,147],"poor":[55],"illumination":[56],"conditions":[57],"at":[58],"night.":[59],"To":[60],"solve":[61],"this":[62,79,158],"problem,":[63],"integration":[65],"from":[68,128],"multiple":[69],"sensors":[70,130],"new":[74],"way.":[75],"This":[76],"paper":[77],"utilize":[78],"measure":[80],"realize":[82],"whole":[84],"moving":[86],"object":[87],"detection":[88,100,117],"system.":[89],"First,":[90],"infrared":[91],"and":[92,110,155],"integrated":[96],"using":[97,126,141],"Region":[98],"saliency":[99],"(RSD)":[101],"method":[102,137],"with":[103],"different":[104],"fusion":[105],"strategies":[106],"applied":[107],"salient":[109],"non-salient":[111],"regions.":[112],"In":[113],"next":[115],"target":[116],"stage,":[118],"fused":[119],"adopted":[122],"instead":[123],"directly":[125],"various":[129],"time":[132],"efficiency.":[133],"background":[135],"subtraction":[136],"employed":[139],"afterwards":[140],"Mixture":[142],"Gaussian":[144],"(MOG).":[145],"Experiments":[146],"several":[148],"kinds":[149],"environments":[151],"give":[152],"promising":[153],"results":[154],"show":[156],"that":[157],"model":[159],"robust":[161],"whole-day":[163],"surveillance.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}