{"id":"https://openalex.org/W4391307074","doi":"https://doi.org/10.1109/vcip59821.2023.10402792","title":"Mask-KLT: Sub-pixel Accurate Directional Motion Estimation by Stripe Masking","display_name":"Mask-KLT: Sub-pixel Accurate Directional Motion Estimation by Stripe Masking","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4391307074","doi":"https://doi.org/10.1109/vcip59821.2023.10402792"},"language":"en","primary_location":{"id":"doi:10.1109/vcip59821.2023.10402792","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5102976850","display_name":"Hyunwoo Ha","orcid":"https://orcid.org/0009-0005-3723-3451"},"institutions":[{"id":"https://openalex.org/I2799891827","display_name":"Korea Post","ror":"https://ror.org/00p45d091","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799891827","https://openalex.org/I2801339556","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyunwoo Ha","raw_affiliation_strings":["Postech,Department of Electrical Engineering","Department of Electrical Engineering, Postech"],"affiliations":[{"raw_affiliation_string":"Postech,Department of Electrical Engineering","institution_ids":["https://openalex.org/I2799891827"]},{"raw_affiliation_string":"Department of Electrical Engineering, Postech","institution_ids":["https://openalex.org/I2799891827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078114111","display_name":"Tae-Hyun Oh","orcid":"https://orcid.org/0000-0003-0468-1571"},"institutions":[{"id":"https://openalex.org/I4210147194","display_name":"Convergence","ror":"https://ror.org/03kcznq08","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210147194"]},{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I4210120602","display_name":"Advanced Institute of Convergence Technology","ror":"https://ror.org/01w62yz22","country_code":"KR","type":"facility","lineage":["https://openalex.org/I139264467","https://openalex.org/I4210120602"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Tae-Hyun Oh","raw_affiliation_strings":["Yonsei University,POSTECH Institute for Convergence Research and Education in Advanced Technology,Department of Electrical Engineering and Graduate School of Artificial Intelligence","Department of Electrical Engineering and Graduate School of Artificial Intelligence, POSTECH Institute for Convergence Research and Education in Advanced Technology, Yonsei University"],"affiliations":[{"raw_affiliation_string":"Yonsei University,POSTECH Institute for Convergence Research and Education in Advanced Technology,Department of Electrical Engineering and Graduate School of Artificial Intelligence","institution_ids":["https://openalex.org/I4210120602"]},{"raw_affiliation_string":"Department of Electrical Engineering and Graduate School of Artificial Intelligence, POSTECH Institute for Convergence Research and Education in Advanced Technology, Yonsei University","institution_ids":["https://openalex.org/I193775966","https://openalex.org/I4210147194"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102976850"],"corresponding_institution_ids":["https://openalex.org/I2799891827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19493896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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":0.9952999949455261,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7737578749656677},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.7416825890541077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7316806316375732},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.7252683639526367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7164449691772461},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.67798912525177},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5843726396560669},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.4284912347793579},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4206219017505646}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7737578749656677},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.7416825890541077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7316806316375732},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.7252683639526367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7164449691772461},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.67798912525177},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5843726396560669},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.4284912347793579},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4206219017505646},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip59821.2023.10402792","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1637731468","https://openalex.org/W1964846093","https://openalex.org/W1973517168","https://openalex.org/W1999565641","https://openalex.org/W2009730749","https://openalex.org/W2031654445","https://openalex.org/W2035379092","https://openalex.org/W2037227137","https://openalex.org/W2038061714","https://openalex.org/W2056357968","https://openalex.org/W2094512035","https://openalex.org/W2096503284","https://openalex.org/W2130103520","https://openalex.org/W2138835141","https://openalex.org/W2154889144","https://openalex.org/W2171447090","https://openalex.org/W2217037751","https://openalex.org/W2336212902","https://openalex.org/W2952122856","https://openalex.org/W2964111344","https://openalex.org/W3135152709","https://openalex.org/W4391899303","https://openalex.org/W6791241969","https://openalex.org/W6855120038","https://openalex.org/W7055556964"],"related_works":["https://openalex.org/W2789518417","https://openalex.org/W4213217485","https://openalex.org/W2566545183","https://openalex.org/W2499449816","https://openalex.org/W2059085722","https://openalex.org/W4210856988","https://openalex.org/W238145802","https://openalex.org/W3081694532","https://openalex.org/W2085033728","https://openalex.org/W4285411112"],"abstract_inverted_index":{"To":[0],"diagnose":[1],"the":[2,6,45,87,116,132],"safety":[3],"or":[4,20],"monitor":[5],"health":[7],"of":[8,34,37,56,59,86,119,134],"aging":[9],"infrastructures":[10],"and":[11,65,121],"factory":[12],"facilities,":[13],"a":[14,29,96,109,138,142,146],"way":[15],"to":[16,69,75,126],"measure":[17],"precise":[18],"vibration":[19],"displacement":[21,123],"is":[22,66],"required.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,40,130],"present":[28],"sub-pixel":[30,106],"accurate":[31],"tracking":[32,120],"method":[33,51,104,136],"directional":[35,54],"motion":[36],"interest,":[38],"which":[39],"name":[41],"Mask-KLT":[42,113],"by":[43,83,90],"inheriting":[44],"long-standing":[46],"Kanade\u2013Lucas\u2013Tomasi":[47],"tracker.":[48],"Our":[49,77,112],"simple":[50,84],"can":[52,79],"estimate":[53],"displacements":[55],"an":[57,92],"object":[58],"interest":[60],"along":[61],"any":[62],"single":[63],"axis":[64],"also":[67],"robust":[68],"non-corner":[70],"regions":[71],"lacking":[72],"good":[73],"features":[74],"track.":[76],"algorithm":[78],"be":[80],"easily":[81],"implemented":[82],"modification":[85],"KLT":[88],"tracker:":[89],"pre-processing":[91],"input":[93],"image":[94],"with":[95,105],"stripe":[97],"pattern":[98],"masking.":[99],"We":[100],"evaluate":[101],"our":[102,135],"proposed":[103],"accuracy":[107],"on":[108],"synthetic":[110],"dataset.":[111],"dramatically":[114],"increases":[115],"success":[117],"rate":[118],"decreases":[122],"errors":[124],"compared":[125],"Vanilla":[127],"KLT.":[128],"Moreover,":[129],"demonstrate":[131],"effectiveness":[133],"in":[137,145],"real-world":[139],"experimental":[140],"setup:":[141],"rotating":[143],"machine":[144],"laboratory":[147],"environment.":[148]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
