{"id":"https://openalex.org/W2543752262","doi":"https://doi.org/10.1109/ipas.2014.7043278","title":"Pupil tracking using active contour model for videonystagmography applications","display_name":"Pupil tracking using active contour model for videonystagmography applications","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2543752262","doi":"https://doi.org/10.1109/ipas.2014.7043278","mag":"2543752262"},"language":"en","primary_location":{"id":"doi:10.1109/ipas.2014.7043278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2014.7043278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Image Processing, Applications and Systems Conference","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/A5011988746","display_name":"Amine Ben Slama","orcid":"https://orcid.org/0000-0002-3828-3654"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Amine Ben Slama","raw_affiliation_strings":["ENSIT, Laboratory of Signal Image and Energy Mastery (SIME), Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"ENSIT, Laboratory of Signal Image and Energy Mastery (SIME), Tunis, Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048841458","display_name":"Ahmed Nejmedine Machraoui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmed Nejmedine Machraoui","raw_affiliation_strings":["ENSIT, Laboratory of Signal Image and Energy Mastery (SIME), Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"ENSIT, Laboratory of Signal Image and Energy Mastery (SIME), Tunis, Tunisia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007949063","display_name":"Mounir Sayadi","orcid":"https://orcid.org/0000-0003-4270-421X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mounir Sayadi","raw_affiliation_strings":["ENSIT, Laboratory of Signal Image and Energy Mastery (SIME), Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"ENSIT, Laboratory of Signal Image and Energy Mastery (SIME), Tunis, Tunisia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011988746"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9564,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78954288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"smc 9","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10542","display_name":"Vestibular and auditory disorders","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.9129996299743652},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.809406042098999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.772139310836792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7247690558433533},{"id":"https://openalex.org/keywords/pupil","display_name":"Pupil","score":0.7211922407150269},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6813856363296509},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6109488606452942},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5720493793487549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5337181091308594},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5246946215629578},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4694836735725403},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3661883473396301},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3377169966697693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30725979804992676},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1537071168422699},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14720511436462402},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10628455877304077},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09600850939750671},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09306812286376953}],"concepts":[{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.9129996299743652},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.809406042098999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.772139310836792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7247690558433533},{"id":"https://openalex.org/C2777394604","wikidata":"https://www.wikidata.org/wiki/Q173318","display_name":"Pupil","level":2,"score":0.7211922407150269},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6813856363296509},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6109488606452942},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5720493793487549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5337181091308594},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5246946215629578},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4694836735725403},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3661883473396301},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3377169966697693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30725979804992676},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1537071168422699},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14720511436462402},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10628455877304077},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09600850939750671},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09306812286376953},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipas.2014.7043278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2014.7043278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Image Processing, Applications and Systems Conference","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":18,"referenced_works":["https://openalex.org/W1655210630","https://openalex.org/W1974711186","https://openalex.org/W2004823485","https://openalex.org/W2023590198","https://openalex.org/W2025588980","https://openalex.org/W2031875731","https://openalex.org/W2052549571","https://openalex.org/W2074652597","https://openalex.org/W2104095591","https://openalex.org/W2125848778","https://openalex.org/W2131154829","https://openalex.org/W2133059825","https://openalex.org/W2138720855","https://openalex.org/W2359003912","https://openalex.org/W3152281459","https://openalex.org/W3172574789","https://openalex.org/W6675770446","https://openalex.org/W6679921638"],"related_works":["https://openalex.org/W2371136327","https://openalex.org/W4293234107","https://openalex.org/W2370549269","https://openalex.org/W2386824811","https://openalex.org/W2354618530","https://openalex.org/W2081226903","https://openalex.org/W2363452175","https://openalex.org/W2375225935","https://openalex.org/W2542179972","https://openalex.org/W2110614960"],"abstract_inverted_index":{"This":[0,88],"paper":[1],"present":[2],"a":[3,104],"new":[4],"method":[5,56],"to":[6,57,68],"resolve":[7],"the":[8,11,17,51,59,74,78,81,85,97],"problem":[9],"of":[10,13,19,96],"estimation":[12],"eye":[14,24],"position":[15],"in":[16],"analysis":[18],"videonystagmography(VNG)":[20],"sequences,":[21],"that":[22],"studies":[23],"vibration":[25],"using":[26],"active":[27,54],"contour":[28,55],"model.":[29],"An":[30],"algorithm":[31,52],"for":[32],"horizontal":[33],"and":[34,46],"vertical":[35],"nystagmus":[36],"tracking":[37],"based":[38],"on":[39,93],"some":[40],"parameters":[41],"such":[42],"as":[43,84],"position,":[44],"amplitude":[45],"duration,":[47],"is":[48,63,91],"presented.":[49],"Indeed,":[50],"uses":[53,80],"segment":[58],"pupil.":[60],"Thus,":[61],"segmentation":[62],"obtained":[64],"from":[65,100],"Otsu's":[66],"thresholding,":[67],"detect":[69],"an":[70],"ellipse":[71,83],"region":[72],"approximates":[73],"pupil":[75],"form.":[76],"Then,":[77],"snake-model":[79],"estimated":[82],"initial":[86],"contour.":[87],"proposed":[89],"approach":[90],"approved":[92],"clinical":[94],"samples":[95],"videonystagmography":[98],"(VNG)":[99],"patient":[101],"who":[102],"presented":[103],"congenital":[105],"nystagmus.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
