{"id":"https://openalex.org/W2910591905","doi":"https://doi.org/10.1109/dicta.2018.8615860","title":"A New Approach using Characteristic Video Signals to Improve the Stability of Manufacturing Processes","display_name":"A New Approach using Characteristic Video Signals to Improve the Stability of Manufacturing Processes","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2910591905","doi":"https://doi.org/10.1109/dicta.2018.8615860","mag":"2910591905"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2018.8615860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","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/A5071995239","display_name":"Frederic Ringsleben","orcid":null},"institutions":[{"id":"https://openalex.org/I116397343","display_name":"Hochschule Mittweida","ror":"https://ror.org/024ga3r86","country_code":"DE","type":"education","lineage":["https://openalex.org/I116397343"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Frederic Ringsleben","raw_affiliation_strings":["Faculty of Applied Computer Sciences & Biosciences, University Of Applied Sciences Mittweida, Mittweida, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Applied Computer Sciences & Biosciences, University Of Applied Sciences Mittweida, Mittweida, Germany","institution_ids":["https://openalex.org/I116397343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023826236","display_name":"Maik Benndorf","orcid":"https://orcid.org/0000-0002-3541-8787"},"institutions":[{"id":"https://openalex.org/I116397343","display_name":"Hochschule Mittweida","ror":"https://ror.org/024ga3r86","country_code":"DE","type":"education","lineage":["https://openalex.org/I116397343"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maik Benndorf","raw_affiliation_strings":["Faculty of Applied Computer Sciences & Biosciences, University Of Applied Sciences Mittweida, Mittweida, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Applied Computer Sciences & Biosciences, University Of Applied Sciences Mittweida, Mittweida, Germany","institution_ids":["https://openalex.org/I116397343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004205760","display_name":"Thomas Haenselmann","orcid":null},"institutions":[{"id":"https://openalex.org/I116397343","display_name":"Hochschule Mittweida","ror":"https://ror.org/024ga3r86","country_code":"DE","type":"education","lineage":["https://openalex.org/I116397343"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Haenselmann","raw_affiliation_strings":["Faculty of Applied Computer Sciences & Biosciences, University Of Applied Sciences Mittweida, Mittweida, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Applied Computer Sciences & Biosciences, University Of Applied Sciences Mittweida, Mittweida, Germany","institution_ids":["https://openalex.org/I116397343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018141171","display_name":"Romana Boiger","orcid":"https://orcid.org/0000-0002-5263-5716"},"institutions":[{"id":"https://openalex.org/I4210135925","display_name":"Materials Center Leoben (Austria)","ror":"https://ror.org/04s620254","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210135925"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Romana Boiger","raw_affiliation_strings":["Leoben Forschung GmbH, Materials Center, Leoben, Austria"],"affiliations":[{"raw_affiliation_string":"Leoben Forschung GmbH, Materials Center, Leoben, Austria","institution_ids":["https://openalex.org/I4210135925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061140261","display_name":"Manfred M\u00fccke","orcid":"https://orcid.org/0000-0002-3960-4296"},"institutions":[{"id":"https://openalex.org/I4210135925","display_name":"Materials Center Leoben (Austria)","ror":"https://ror.org/04s620254","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210135925"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Manfred Mucke","raw_affiliation_strings":["Leoben Forschung GmbH, Materials Center, Leoben, Austria"],"affiliations":[{"raw_affiliation_string":"Leoben Forschung GmbH, Materials Center, Leoben, Austria","institution_ids":["https://openalex.org/I4210135925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042829705","display_name":"Matthias Fehr","orcid":null},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Fehr","raw_affiliation_strings":["Infineon Technologies Dresden GmbH, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Infineon Technologies Dresden GmbH, Dresden, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080477325","display_name":"Dirk Motthes","orcid":null},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Motthes","raw_affiliation_strings":["Infineon Technologies Dresden GmbH, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Infineon Technologies Dresden GmbH, Dresden, Germany","institution_ids":["https://openalex.org/I137594350"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5071995239"],"corresponding_institution_ids":["https://openalex.org/I116397343"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48548051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9998000264167786,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9998000264167786,"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":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8117941617965698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7855536937713623},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7248316407203674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6511362791061401},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5585764646530151},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5442384481430054},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4398535490036011},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43450114130973816},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.41853004693984985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32026463747024536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2528457045555115},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10738581418991089}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8117941617965698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7855536937713623},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7248316407203674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6511362791061401},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5585764646530151},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5442384481430054},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4398535490036011},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43450114130973816},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.41853004693984985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32026463747024536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2528457045555115},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10738581418991089},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2018.8615860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","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":22,"referenced_works":["https://openalex.org/W26572941","https://openalex.org/W1551548101","https://openalex.org/W2031201332","https://openalex.org/W2053802831","https://openalex.org/W2081432165","https://openalex.org/W2089259105","https://openalex.org/W2111633771","https://openalex.org/W2118246710","https://openalex.org/W2133741843","https://openalex.org/W2134190498","https://openalex.org/W2135249503","https://openalex.org/W2149022377","https://openalex.org/W2311314120","https://openalex.org/W2321750506","https://openalex.org/W2463945431","https://openalex.org/W2591954901","https://openalex.org/W2647706667","https://openalex.org/W2753769518","https://openalex.org/W2903791967","https://openalex.org/W2964036159","https://openalex.org/W6670927870","https://openalex.org/W6739222254"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4298130764","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W1629127207"],"abstract_inverted_index":{"Observing":[0],"production":[1,28,40,103,133],"processes":[2,29],"is":[3,35,61],"a":[4,22,80,83],"typical":[5],"task":[6],"for":[7,101,131],"sensors":[8],"in":[9,39,86],"industrial":[10],"environments.":[11],"This":[12],"paper":[13],"deals":[14],"with":[15,30,105],"the":[16,44,49,54,67,132,137],"use":[17,109],"of":[18,46,51,56,79,124],"camera":[19],"systems":[20],"as":[21,43,82],"sensor":[23],"array":[24],"to":[25,36,90,98,120],"compare":[26,136],"similar":[27],"one":[31],"another.":[32],"The":[33],"aim":[34],"detect":[37],"anomalies":[38],"processes,":[41],"such":[42],"motion":[45,106],"robots":[47],"or":[48],"flow":[50],"liquids.":[52],"Since":[53],"comparison":[55],"high-resolution":[57],"and":[58,71,97,128,134],"long":[59],"videos":[60],"very":[62],"resource-intensive,":[63],"we":[64,74,108],"propose":[65],"clustering":[66,112,123],"video":[68,81],"into":[69],"areas":[70,127],"shots.":[72],"Therefore,":[73],"suggest":[75],"interpreting":[76],"each":[77],"pixel":[78],"signal":[84],"varying":[85],"time.":[87],"In":[88],"order":[89],"do":[91],"that":[92],"without":[93],"any":[94,102],"background":[95],"knowledge":[96],"be":[99],"useful":[100],"environment":[104],"involved,":[107],"an":[110],"unsupervised":[111],"procedure.":[113],"We":[114],"show":[115],"three":[116],"different":[117],"preprocessing":[118],"approaches":[119],"avoid":[121],"faulty":[122],"static":[125],"image":[126],"those":[129],"relevant":[130],"finally":[135],"results.":[138]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
