{"id":"https://openalex.org/W2011640953","doi":"https://doi.org/10.1109/ispacs.2013.6704641","title":"Bidirectional symmetry and median filter with dynamic smoothness weight on Horn-Schunck optical flow algorithm","display_name":"Bidirectional symmetry and median filter with dynamic smoothness weight on Horn-Schunck optical flow algorithm","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2011640953","doi":"https://doi.org/10.1109/ispacs.2013.6704641","mag":"2011640953"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2013.6704641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2013.6704641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Symposium on Intelligent Signal Processing and Communication Systems","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/A5044910493","display_name":"Darun Kesrarat","orcid":"https://orcid.org/0000-0002-9931-1073"},"institutions":[{"id":"https://openalex.org/I115748381","display_name":"Assumption University","ror":"https://ror.org/03zmqc707","country_code":"TH","type":"education","lineage":["https://openalex.org/I115748381"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Darun Kesrarat","raw_affiliation_strings":["Department of Information Technology, Faculty of Science and Technology Assumption University, Bangkok, Thailand","Department of Information Technology, Assumption University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Faculty of Science and Technology Assumption University, Bangkok, Thailand","institution_ids":["https://openalex.org/I115748381"]},{"raw_affiliation_string":"Department of Information Technology, Assumption University, Bangkok, Thailand","institution_ids":["https://openalex.org/I115748381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034032315","display_name":"Vorapoj Patanavijit","orcid":"https://orcid.org/0000-0002-9122-1276"},"institutions":[{"id":"https://openalex.org/I115748381","display_name":"Assumption University","ror":"https://ror.org/03zmqc707","country_code":"TH","type":"education","lineage":["https://openalex.org/I115748381"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Vorapoj Patanavijit","raw_affiliation_strings":["Department of Computer and Network Engineering, Faculty of Engineering Assumption University, Bangkok, Thailand","Dept. of Comput. & Network Eng., Assumption Univ., Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Network Engineering, Faculty of Engineering Assumption University, Bangkok, Thailand","institution_ids":["https://openalex.org/I115748381"]},{"raw_affiliation_string":"Dept. of Comput. & Network Eng., Assumption Univ., Bangkok, Thailand","institution_ids":["https://openalex.org/I115748381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044910493"],"corresponding_institution_ids":["https://openalex.org/I115748381"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08620416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"708","last_page":"713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9958000183105469,"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/smoothness","display_name":"Smoothness","score":0.743905246257782},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6855583190917969},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6646886467933655},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6260520219802856},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.5502982139587402},{"id":"https://openalex.org/keywords/french-horn","display_name":"French horn","score":0.4685206115245819},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.465877503156662},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44628873467445374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44424569606781006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44369199872016907},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4280991554260254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.400603711605072},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.27382373809814453},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.22984328866004944},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21209797263145447},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12527087330818176},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.10432571172714233},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06870496273040771}],"concepts":[{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.743905246257782},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6855583190917969},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6646886467933655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6260520219802856},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.5502982139587402},{"id":"https://openalex.org/C152076505","wikidata":"https://www.wikidata.org/wiki/Q1126540","display_name":"French horn","level":2,"score":0.4685206115245819},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.465877503156662},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44628873467445374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44424569606781006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44369199872016907},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4280991554260254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.400603711605072},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27382373809814453},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.22984328866004944},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21209797263145447},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12527087330818176},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.10432571172714233},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06870496273040771},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispacs.2013.6704641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2013.6704641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Symposium on Intelligent Signal Processing and Communication Systems","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":10,"referenced_works":["https://openalex.org/W1578285471","https://openalex.org/W2038228196","https://openalex.org/W2092603345","https://openalex.org/W2106750162","https://openalex.org/W2140706524","https://openalex.org/W2152453347","https://openalex.org/W2751023760","https://openalex.org/W3003662786","https://openalex.org/W4243964482","https://openalex.org/W6676061962"],"related_works":["https://openalex.org/W2393022482","https://openalex.org/W2377346130","https://openalex.org/W2361092061","https://openalex.org/W2319775965","https://openalex.org/W2357314690","https://openalex.org/W2101505280","https://openalex.org/W2191886813","https://openalex.org/W1986317414","https://openalex.org/W339348637","https://openalex.org/W2364237501"],"abstract_inverted_index":{"For":[0],"motion":[1,12],"estimation,":[2],"optical":[3,36,58],"flow":[4,59],"is":[5,143],"an":[6],"algorithm":[7,72],"that":[8,96],"uses":[9],"to":[10,139],"determine":[11],"vector":[13],"(MV)":[14],"in":[15,31,69,106,113],"a":[16,144],"level":[17],"of":[18,33,42,76,88,92,108,124],"pixel":[19],"based":[20],"over":[21],"video":[22],"sequences.":[23],"Under":[24],"noisy":[25,134],"situations,":[26],"they":[27],"corrupt":[28],"the":[29,40,62,66,89,101],"achievement":[30],"reliability":[32,41],"MV":[34],"on":[35,56,85],"flow.":[37],"To":[38],"lift":[39],"MV,":[43],"this":[44],"paper":[45],"presents":[46],"bidirectional":[47],"symmetry":[48],"and":[49],"median":[50],"filter":[51],"with":[52,121],"dynamic":[53],"smoothness":[54,77,93],"weight":[55,78,94],"Horn-Schunck":[57],"algorithm.":[60],"From":[61],"experiment,":[63],"it":[64],"shows":[65],"effective":[67],"result":[68],"our":[70,114],"proposed":[71],"when":[73],"various":[74],"values":[75],"are":[79,111],"comprehensively":[80],"considered.":[81],"We":[82,116],"also":[83,117],"analyze":[84],"how":[86],"importance":[87],"appropriated":[90],"value":[91],"(\u03b1)":[95],"should":[97],"be":[98],"selected":[99],"for":[100,130],"best":[102],"achievement.":[103],"Several":[104],"differences":[105],"characteristic":[107],"conventional":[109],"sequences":[110,120],"used":[112],"experiment.":[115],"simulate":[118],"theses":[119],"several":[122],"levels":[123],"Additive":[125],"White":[126],"Gaussian":[127],"Noise":[128,140],"(AWGN)":[129],"performance":[131,145],"investigation":[132],"under":[133],"environment":[135],"where":[136],"Peak":[137],"Signal":[138],"Ratio":[141],"(PSNR)":[142],"indicator.":[146]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
