{"id":"https://openalex.org/W2295478313","doi":"https://doi.org/10.1109/icce.2016.7430719","title":"Real time object detection based on saliency map","display_name":"Real time object detection based on saliency map","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2295478313","doi":"https://doi.org/10.1109/icce.2016.7430719","mag":"2295478313"},"language":"en","primary_location":{"id":"doi:10.1109/icce.2016.7430719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2016.7430719","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 Consumer Electronics (ICCE)","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/A5081249477","display_name":"SangGi Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"SangGi Kim","raw_affiliation_strings":["Kyungpook National University, Daegu, Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University, Daegu, Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070590442","display_name":"Eun-Jeong Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunjeong Jang","raw_affiliation_strings":["Kyungpook National University, Daegu, Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University, Daegu, Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059112340","display_name":"SeungHwa Hyun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"SeungHwa Hyun","raw_affiliation_strings":["Ekdac inc, Daegu, Korea"],"affiliations":[{"raw_affiliation_string":"Ekdac inc, Daegu, Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086165395","display_name":"Dong Seog Han","orcid":"https://orcid.org/0000-0002-7769-0236"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong Seog Han","raw_affiliation_strings":["Kyungpook National University, Daegu, Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University, Daegu, Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081249477"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.501,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70632856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"534","last_page":"535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991000294685364,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991000294685364,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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-science","display_name":"Computer science","score":0.742881178855896},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.664779007434845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6501855850219727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6089451909065247},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5632728338241577},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5472008585929871},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44589096307754517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42408493161201477},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4146729111671448},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14836600422859192},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09923619031906128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.742881178855896},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.664779007434845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6501855850219727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6089451909065247},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5632728338241577},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5472008585929871},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44589096307754517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42408493161201477},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4146729111671448},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14836600422859192},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09923619031906128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce.2016.7430719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2016.7430719","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 Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2021383150","https://openalex.org/W2105529173","https://openalex.org/W2128272608"],"related_works":["https://openalex.org/W2114275278","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W1489511283","https://openalex.org/W4387272257","https://openalex.org/W2974914859","https://openalex.org/W2026565050","https://openalex.org/W2110244802","https://openalex.org/W949345935","https://openalex.org/W3121027642"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,37],"traffic":[4,22,39],"light":[5,23,40],"recognition":[6,24,41,53],"system":[7,33,42,50,61],"for":[8,36],"real-time":[9,38],"processing":[10],"has":[11],"been":[12],"proposed.":[13],"The":[14,31,48],"conventional":[15,66],"saliency":[16,46],"map":[17],"is":[18,34],"hardly":[19],"applicable":[20],"to":[21,27,64],"systems":[25],"due":[26],"its":[28],"high":[29],"complexity.":[30],"proposed":[32,49],"made":[35],"by":[43],"optimizing":[44],"the":[45,52,57,60,65],"map.":[47],"maintains":[51],"rate":[54],"and":[55],"reduces":[56],"complexity":[58],"of":[59],"when":[62],"compared":[63],"system.":[67]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}