{"id":"https://openalex.org/W4390489163","doi":"https://doi.org/10.1109/ssci52147.2023.10371810","title":"Variational Voxel Pseudo Image Tracking","display_name":"Variational Voxel Pseudo Image Tracking","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390489163","doi":"https://doi.org/10.1109/ssci52147.2023.10371810"},"language":"en","primary_location":{"id":"doi:10.1109/ssci52147.2023.10371810","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci52147.2023.10371810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031493264","display_name":"Illia Oleksiienko","orcid":"https://orcid.org/0000-0001-7592-365X"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Illia Oleksiienko","raw_affiliation_strings":["DIGIT, Aarhus University,Department of Electrical and Computer Engineering,Denmark","Department of Electrical and Computer Engineering, DIGIT, Aarhus University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIGIT, Aarhus University,Department of Electrical and Computer Engineering,Denmark","institution_ids":["https://openalex.org/I204337017"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, DIGIT, Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074409158","display_name":"Paraskevi Nousi","orcid":"https://orcid.org/0000-0002-3087-3174"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Paraskevi Nousi","raw_affiliation_strings":["Aristotle University of Thessaloniki,Department of Informatics,Greece","Department of Informatics, Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Department of Informatics,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061050264","display_name":"Nikolaos Passalis","orcid":"https://orcid.org/0000-0003-1177-9139"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Passalis","raw_affiliation_strings":["Aristotle University of Thessaloniki,Department of Informatics,Greece","Department of Informatics, Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Department of Informatics,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041054091","display_name":"Anastasios Tefas","orcid":"https://orcid.org/0000-0003-1288-3667"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Tefas","raw_affiliation_strings":["Aristotle University of Thessaloniki,Department of Informatics,Greece","Department of Informatics, Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Department of Informatics,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064535836","display_name":"Alexandros Iosifidis","orcid":"https://orcid.org/0000-0003-4807-1345"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Alexandros Iosifidis","raw_affiliation_strings":["DIGIT, Aarhus University,Department of Electrical and Computer Engineering,Denmark","Department of Electrical and Computer Engineering, DIGIT, Aarhus University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIGIT, Aarhus University,Department of Electrical and Computer Engineering,Denmark","institution_ids":["https://openalex.org/I204337017"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, DIGIT, Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":null,"first_page":"323","last_page":"328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9944999814033508,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9930999875068665,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7023870944976807},{"id":"https://openalex.org/keywords/supervisor","display_name":"Supervisor","score":0.6673943400382996},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6264320015907288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6089953780174255},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5177566409111023},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49117228388786316},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4903378486633301},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.48499032855033875},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.47231149673461914},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4578993618488312},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4518333673477173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4516618847846985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40968984365463257},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.36641791462898254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.355225145816803}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7023870944976807},{"id":"https://openalex.org/C2779110517","wikidata":"https://www.wikidata.org/wiki/Q1240788","display_name":"Supervisor","level":2,"score":0.6673943400382996},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6264320015907288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6089953780174255},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5177566409111023},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49117228388786316},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4903378486633301},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.48499032855033875},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.47231149673461914},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4578993618488312},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4518333673477173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4516618847846985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40968984365463257},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.36641791462898254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.355225145816803},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssci52147.2023.10371810","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci52147.2023.10371810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/5ddecd6b-da6f-47d4-b71d-1ab181797389","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/5ddecd6b-da6f-47d4-b71d-1ab181797389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Oleksiienko, I, Nousi, P, Passalis, N, Tefas, A & Iosifidis, A 2023, Variational Voxel Pseudo Image Tracking. in 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, Proceedings (IEEE Symposium Series on Computational Intelligence), pp. 323-328. https://doi.org/10.1109/SSCI52147.2023.10371810","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7400000095367432,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5837592645","display_name":"Open Deep Learning Toolkit for Robotics","funder_award_id":"871449","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W1964846093","https://openalex.org/W2083870689","https://openalex.org/W2105934661","https://openalex.org/W2150066425","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2470394683","https://openalex.org/W2799058067","https://openalex.org/W2806471870","https://openalex.org/W2807588596","https://openalex.org/W2887976372","https://openalex.org/W2945261895","https://openalex.org/W2951266961","https://openalex.org/W2956805085","https://openalex.org/W2963120444","https://openalex.org/W2963167203","https://openalex.org/W2963534981","https://openalex.org/W2964253307","https://openalex.org/W2968296999","https://openalex.org/W2969913432","https://openalex.org/W3023852305","https://openalex.org/W3035641096","https://openalex.org/W3093537218","https://openalex.org/W3095503460","https://openalex.org/W3098691969","https://openalex.org/W3102961490","https://openalex.org/W3129901004","https://openalex.org/W3132311274","https://openalex.org/W3183048323","https://openalex.org/W3190897131","https://openalex.org/W3194700450","https://openalex.org/W3208501016","https://openalex.org/W4210786150","https://openalex.org/W4287072106","https://openalex.org/W4288091562","https://openalex.org/W4306739653","https://openalex.org/W4320460169","https://openalex.org/W4324325927","https://openalex.org/W4386337006","https://openalex.org/W6617145748","https://openalex.org/W6752244597","https://openalex.org/W6752745768","https://openalex.org/W6764214684"],"related_works":["https://openalex.org/W4387731985","https://openalex.org/W2755149878","https://openalex.org/W2941808082","https://openalex.org/W2468425257","https://openalex.org/W4377009725","https://openalex.org/W4379086698","https://openalex.org/W2528721242","https://openalex.org/W4320164562","https://openalex.org/W2356364326","https://openalex.org/W2121856452"],"abstract_inverted_index":{"Uncertainty":[0],"estimation":[1],"is":[2],"an":[3,88],"important":[4],"task":[5],"for":[6,57,74],"critical":[7],"problems,":[8],"such":[9],"as":[10],"robotics":[11],"and":[12,23,76,79,104],"autonomous":[13],"driving,":[14],"because":[15],"it":[16,106],"allows":[17],"creating":[18],"statistically":[19],"better":[20],"perception":[21],"models":[22],"signaling":[24],"the":[25,32,68,80,101,108,115,123,142],"model's":[26],"certainty":[27],"in":[28,92],"its":[29],"predictions":[30],"to":[31,107,119],"decision":[33],"method":[34,56],"or":[35,112],"a":[36,44,50],"human":[37],"supervisor.":[38],"In":[39,126],"this":[40],"paper,":[41],"we":[42,128],"propose":[43],"Variational":[45,63,70],"Neural":[46],"Network-based":[47],"version":[48],"of":[49,67,94,122,138],"Voxel":[51],"Pseudo":[52],"Image":[53],"Tracking":[54],"(VPIT)":[55],"3D":[58],"Single":[59],"Object":[60],"Tracking.":[61],"The":[62],"Feature":[64],"Generation":[65],"Network":[66],"proposed":[69],"VPIT":[71],"computes":[72],"features":[73,140],"target":[75],"search":[77],"regions":[78],"corresponding":[81,102],"uncertainties,":[82],"which":[83],"are":[84],"later":[85],"combined":[86],"using":[87],"uncertainty-aware":[89],"cross-correlation":[90,110],"module":[91],"one":[93],"two":[95],"ways:":[96],"by":[97,113],"computing":[98],"similarity":[99],"between":[100],"uncertainties":[103],"adding":[105],"regular":[109],"values,":[111],"penalizing":[114],"uncertain":[116,139],"feature":[117],"channels":[118],"increase":[120],"influence":[121],"certain":[124],"features.":[125],"experiments,":[127],"show":[129],"that":[130],"both":[131],"methods":[132],"improve":[133],"tracking":[134],"performance,":[135],"while":[136],"penalization":[137],"provides":[141],"best":[143],"uncertainty":[144],"quality.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}