{"id":"https://openalex.org/W2061057206","doi":"https://doi.org/10.1109/elinfocom.2014.6914357","title":"Modified Otsu's method for indoor mobile robot tracking system","display_name":"Modified Otsu's method for indoor mobile robot tracking system","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2061057206","doi":"https://doi.org/10.1109/elinfocom.2014.6914357","mag":"2061057206"},"language":"en","primary_location":{"id":"doi:10.1109/elinfocom.2014.6914357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/elinfocom.2014.6914357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Electronics, Information and Communications (ICEIC)","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/A5100606206","display_name":"Sewon Lee","orcid":"https://orcid.org/0009-0001-5177-2188"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sewon Lee","raw_affiliation_strings":["Department of Electrical Engineering, Pusan National University, Busan, Korea","Dept. of Electrical Eng., Pusan National University, Busan, 609-735, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pusan National University, Busan, Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Dept. of Electrical Eng., Pusan National University, Busan, 609-735, Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087020444","display_name":"Jin Won Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-won Jang","raw_affiliation_strings":["Inspection and Control System Department, LG Production engineering Research Institute, Pyeongtaek-si, Gyeonggi-do, Korea","Dept. of Electrical Eng., Pusan National University, Busan, 609-735, Korea"],"affiliations":[{"raw_affiliation_string":"Inspection and Control System Department, LG Production engineering Research Institute, Pyeongtaek-si, Gyeonggi-do, Korea","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electrical Eng., Pusan National University, Busan, 609-735, Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035906745","display_name":"Kwang\u2010Ryul Baek","orcid":"https://orcid.org/0000-0002-2928-2043"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang-Ryul Baek","raw_affiliation_strings":["Department of Electrical Engineering, Pusan National University, Busan, Korea","Dept. of Electrical Eng., Pusan National University, Busan, 609-735, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pusan National University, Busan, Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Dept. of Electrical Eng., Pusan National University, Busan, 609-735, Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024512975","display_name":"Heungbo Shim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heungbo Shim","raw_affiliation_strings":["Inspection and Control System Department, LG Production engineering Research Institute, Pyeongtaek-si, Gyeonggi-do, Korea","Inspection and Control System Department, LG Production engineering Research Institute, Pyeongtaek-si, Gyeonggi-do, 451-713, Korea"],"affiliations":[{"raw_affiliation_string":"Inspection and Control System Department, LG Production engineering Research Institute, Pyeongtaek-si, Gyeonggi-do, Korea","institution_ids":[]},{"raw_affiliation_string":"Inspection and Control System Department, LG Production engineering Research Institute, Pyeongtaek-si, Gyeonggi-do, 451-713, Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100606206"],"corresponding_institution_ids":["https://openalex.org/I4921948"],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59444464,"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":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9970999956130981,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9970999956130981,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996399998664856,"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":0.9940999746322632,"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/thresholding","display_name":"Thresholding","score":0.955808162689209},{"id":"https://openalex.org/keywords/balanced-histogram-thresholding","display_name":"Balanced histogram thresholding","score":0.8975790739059448},{"id":"https://openalex.org/keywords/otsus-method","display_name":"Otsu's method","score":0.8707523345947266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8008362650871277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6958886981010437},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.691392183303833},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5513187050819397},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4573700726032257},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39702484011650085},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3266749382019043},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3072468042373657}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.955808162689209},{"id":"https://openalex.org/C202577368","wikidata":"https://www.wikidata.org/wiki/Q2576067","display_name":"Balanced histogram thresholding","level":5,"score":0.8975790739059448},{"id":"https://openalex.org/C21729346","wikidata":"https://www.wikidata.org/wiki/Q2444417","display_name":"Otsu's method","level":4,"score":0.8707523345947266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8008362650871277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6958886981010437},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.691392183303833},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5513187050819397},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4573700726032257},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39702484011650085},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3266749382019043},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3072468042373657},{"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/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/elinfocom.2014.6914357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/elinfocom.2014.6914357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Electronics, Information and Communications (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1997786351","https://openalex.org/W2133059825","https://openalex.org/W4237938455"],"related_works":["https://openalex.org/W4309330417","https://openalex.org/W2147223569","https://openalex.org/W2061057206","https://openalex.org/W2219579304","https://openalex.org/W2054831422","https://openalex.org/W2122667464","https://openalex.org/W2026153598","https://openalex.org/W2380810282","https://openalex.org/W4205367280","https://openalex.org/W2327601824"],"abstract_inverted_index":{"In":[0,39],"vision-based":[1],"tracking":[2,103],"system,":[3],"thresholding":[4,35,47,57,61,77,115],"is":[5,49,63,72],"one":[6],"of":[7,55,114],"the":[8,41,73,90,95,112],"most":[9,74],"important":[10],"steps":[11],"in":[12,26,85],"image":[13],"pre-processing.":[14],"Thresholding":[15,29],"algorithm":[16,48,62,110],"has":[17],"a":[18,66],"strong":[19],"influence":[20],"on":[21],"both":[22],"accuracy":[23],"and":[24],"performance":[25,113],"object":[27,82],"tracking.":[28],"algorithms":[30],"are":[31],"classified":[32],"as":[33,83],"global":[34,56,60,76],"or":[36],"local":[37,46],"thresholding.":[38],"general,":[40],"computing":[42],"power":[43],"required":[44],"for":[45,65,99],"more":[50],"than":[51],"ten":[52],"times":[53],"that":[54,108],"algorithm,":[58,78],"so":[59],"suitable":[64],"real-time":[67],"application.":[68],"The":[69],"Otsu's":[70,97],"method":[71,98],"famous":[75],"however,":[79],"it":[80],"misclassifies":[81],"background":[84],"some":[86],"cases.":[87],"To":[88],"reduce":[89],"misclassification":[91],"problems,":[92],"we":[93],"apply":[94],"modified":[96],"indoor":[100],"mobile":[101],"robot":[102],"system.":[104],"Experimental":[105],"results":[106],"show":[107],"applied":[109],"improves":[111],"results.":[116]},"counts_by_year":[{"year":2019,"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"}
