{"id":"https://openalex.org/W2016488611","doi":"https://doi.org/10.1109/icme.2013.6607495","title":"Sparse optical flow regularization for real-time visual tracking","display_name":"Sparse optical flow regularization for real-time visual tracking","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2016488611","doi":"https://doi.org/10.1109/icme.2013.6607495","mag":"2016488611"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2013.6607495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/4158515/file/4158523.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007618200","display_name":"Vincent Spruyt","orcid":null},"institutions":[{"id":"https://openalex.org/I141714071","display_name":"Artesis Plantijn Hogeschool Antwerpen","ror":"https://ror.org/0075f1c08","country_code":"BE","type":"education","lineage":["https://openalex.org/I141714071"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Vincent Spruyt","raw_affiliation_strings":["Artesis Plantijn Hogeschool Antwerpen, Antwerpen, BE"],"affiliations":[{"raw_affiliation_string":"Artesis Plantijn Hogeschool Antwerpen, Antwerpen, BE","institution_ids":["https://openalex.org/I141714071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077753605","display_name":"Alessandro Ledda","orcid":"https://orcid.org/0000-0002-1064-2002"},"institutions":[{"id":"https://openalex.org/I141714071","display_name":"Artesis Plantijn Hogeschool Antwerpen","ror":"https://ror.org/0075f1c08","country_code":"BE","type":"education","lineage":["https://openalex.org/I141714071"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Alessandro Ledda","raw_affiliation_strings":["Department of Applied Engineering: Electronics-ICT, Artesis University College, Antwerp, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Applied Engineering: Electronics-ICT, Artesis University College, Antwerp, Belgium","institution_ids":["https://openalex.org/I141714071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071483672","display_name":"Wilfried Philips","orcid":"https://orcid.org/0000-0003-4456-4353"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Wilfried Philips","raw_affiliation_strings":["TELIN-IPI-IMINDS, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"TELIN-IPI-IMINDS, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007618200"],"corresponding_institution_ids":["https://openalex.org/I141714071"],"apc_list":null,"apc_paid":null,"fwci":0.8306,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76203329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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":0.9954000115394592,"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/optical-flow","display_name":"Optical flow","score":0.8493341207504272},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7536515593528748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7213630676269531},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5422059893608093},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.49802446365356445},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.48593035340309143},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4726252555847168},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.4542447030544281},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4349300265312195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4033997654914856},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.3393402099609375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1407696008682251},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11362329125404358}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.8493341207504272},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7536515593528748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213630676269531},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5422059893608093},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.49802446365356445},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.48593035340309143},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4726252555847168},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.4542447030544281},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4349300265312195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4033997654914856},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.3393402099609375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1407696008682251},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11362329125404358},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2013.6607495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:4158515","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-4158515","pdf_url":"https://biblio.ugent.be/publication/4158515/file/4158523.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1945-7871","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:4158515","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-4158515","pdf_url":"https://biblio.ugent.be/publication/4158515/file/4158523.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1945-7871","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2016488611.pdf","grobid_xml":"https://content.openalex.org/works/W2016488611.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1521521099","https://openalex.org/W1786737888","https://openalex.org/W1976496412","https://openalex.org/W1980432702","https://openalex.org/W2034432896","https://openalex.org/W2034869517","https://openalex.org/W2106753530","https://openalex.org/W2158919891","https://openalex.org/W2163352848","https://openalex.org/W2170282673","https://openalex.org/W2170748446","https://openalex.org/W2172196609","https://openalex.org/W2305650972","https://openalex.org/W2340730968","https://openalex.org/W4285719527","https://openalex.org/W6638271554","https://openalex.org/W6644299198","https://openalex.org/W6698158643"],"related_works":["https://openalex.org/W2387055199","https://openalex.org/W2313061941","https://openalex.org/W2588661485","https://openalex.org/W1953485902","https://openalex.org/W2052546562","https://openalex.org/W3175896399","https://openalex.org/W2605640648","https://openalex.org/W2012410061","https://openalex.org/W2970427506","https://openalex.org/W2053610073"],"abstract_inverted_index":{"Optical":[0],"flow":[1,14,35,63,127],"can":[2,20,76],"greatly":[3],"improve":[4],"the":[5,44,47,102,117],"robustness":[6,103],"of":[7,46,104,116],"visual":[8],"tracking":[9,110],"algorithms.":[10],"While":[11],"dense":[12],"optical":[13,34,62,126],"algorithms":[15,36],"have":[16],"various":[17],"applications,":[18],"they":[19],"not":[21],"be":[22,69],"used":[23],"for":[24,59,139],"real-time":[25,106],"solutions":[26],"without":[27],"resorting":[28],"to":[29,43,68,71,83,97],"GPU":[30],"calculations.":[31],"Furthermore,":[32,121],"most":[33],"fail":[37],"in":[38,88],"challenging":[39],"lighting":[40],"environments":[41],"due":[42],"violation":[45],"brightness":[48],"constraint.":[49],"We":[50],"propose":[51],"a":[52,105,114,122],"simple":[53],"but":[54],"effective":[55],"iterative":[56],"regularisation":[57],"scheme":[58],"real-time,":[60],"sparse":[61],"algorithms,":[64],"that":[65],"is":[66,133],"shown":[67],"robust":[70],"sudden":[72],"illumination":[73],"changes":[74],"and":[75,124,135],"handle":[77],"large":[78],"displacements.":[79],"The":[80],"algorithm":[81],"proves":[82],"outperform":[84],"well":[85],"known":[86],"techniques":[87],"real":[89],"life":[90],"video":[91],"sequences,":[92],"while":[93],"being":[94],"much":[95],"faster":[96],"calculate.":[98],"Our":[99],"solution":[100],"increases":[101],"particle":[107],"filter":[108],"based":[109],"application,":[111],"consuming":[112],"only":[113],"fraction":[115],"available":[118,138],"CPU":[119],"power.":[120],"new":[123],"realistic":[125],"dataset":[128],"with":[129],"annotated":[130],"ground":[131],"truth":[132],"created":[134],"made":[136],"freely":[137],"research":[140],"purposes.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}