{"id":"https://openalex.org/W2318122567","doi":"https://doi.org/10.1109/biocas.2014.6981681","title":"Live demonstration: Neuromorphic event-based multi-kernel algorithm for high speed visual features tracking","display_name":"Live demonstration: Neuromorphic event-based multi-kernel algorithm for high speed visual features tracking","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2318122567","doi":"https://doi.org/10.1109/biocas.2014.6981681","mag":"2318122567"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2014.6981681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2014.6981681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","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/A5067982381","display_name":"Xavier Lagorce","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Xavier Lagorce","raw_affiliation_strings":["National Technical University of Athens, School of Electrical and Computer Engineering Microprocessors and Digital Systems Laboratory, Zografou, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, School of Electrical and Computer Engineering Microprocessors and Digital Systems Laboratory, Zografou, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091769584","display_name":"C\u00e9dric Meyer","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Cedric Meyer","raw_affiliation_strings":["National Technical University of Athens, School of Electrical and Computer Engineering Microprocessors and Digital Systems Laboratory, Zografou, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, School of Electrical and Computer Engineering Microprocessors and Digital Systems Laboratory, Zografou, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025789427","display_name":"Sio-Ho\u00ef Ieng","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Sio-Hoi Ieng","raw_affiliation_strings":["Physics Department Electronics Laboratory, National and Kapodistrian University of Athens, Zografou, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Physics Department Electronics Laboratory, National and Kapodistrian University of Athens, Zografou, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027931470","display_name":"David Filliat","orcid":"https://orcid.org/0000-0002-5739-1618"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Filliat","raw_affiliation_strings":["Pierre and Marie Currie University, France"],"affiliations":[{"raw_affiliation_string":"Pierre and Marie Currie University, France","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042087592","display_name":"Ryad Benosman","orcid":"https://orcid.org/0000-0003-0243-944X"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ryad Benosman","raw_affiliation_strings":["Pierre and Marie Currie University, France"],"affiliations":[{"raw_affiliation_string":"Pierre and Marie Currie University, France","institution_ids":["https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067982381"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18927457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":null,"first_page":"178","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9909999966621399,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.8873650431632996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7747836112976074},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7272953987121582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6992056369781494},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6818422079086304},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6616336107254028},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.6207239627838135},{"id":"https://openalex.org/keywords/feature-tracking","display_name":"Feature tracking","score":0.5102195739746094},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.49830150604248047},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48409831523895264},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.45216476917266846},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42972707748413086},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.428364634513855},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3672826886177063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3239414691925049},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22255226969718933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11944913864135742}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8873650431632996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7747836112976074},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7272953987121582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6992056369781494},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6818422079086304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6616336107254028},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.6207239627838135},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.5102195739746094},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.49830150604248047},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48409831523895264},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.45216476917266846},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42972707748413086},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.428364634513855},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3672826886177063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3239414691925049},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22255226969718933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11944913864135742},{"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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biocas.2014.6981681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2014.6981681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","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":1,"referenced_works":["https://openalex.org/W2149211411"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4214914769","https://openalex.org/W4387251107","https://openalex.org/W2166309310","https://openalex.org/W4317717548","https://openalex.org/W4297621941"],"abstract_inverted_index":{"This":[0],"demo":[1],"presents":[2],"a":[3,43],"method":[4,32,97],"of":[5,11,28,45,60,82,121],"visual":[6,37],"tracking":[7,96,109],"using":[8],"the":[9,25,119,122],"output":[10],"an":[12,63],"event-based":[13,16,21],"asynchronous":[14,64],"neuromorphic":[15],"camera.":[17],"The":[18,31,93,108],"approach":[19],"is":[20,111],"thus":[22],"adapted":[23],"to":[24,34,51,71,117],"scene-driven":[26],"properties":[27],"these":[29],"sensors.":[30],"allows":[33],"track":[35,72],"multiple":[36],"features":[38,73,95],"in":[39,62,103],"real":[40],"time":[41],"at":[42],"frequency":[44],"several":[46],"hundreds":[47],"kilohertz.":[48],"It":[49],"adapts":[50],"scene":[52],"contents,":[53],"combining":[54],"both":[55],"spatial":[56],"and":[57,85,106],"temporal":[58],"correlations":[59],"events":[61,76],"iterative":[65],"framework.":[66],"Various":[67],"kernels":[68],"are":[69],"used":[70],"from":[74],"incoming":[75],"such":[77],"as":[78],"Gaussian,":[79],"Gabor,":[80],"combinations":[81],"Gabor":[83],"functions":[84],"any":[86],"hand-made":[87],"kernel":[88,116],"with":[89,100],"very":[90],"weak":[91],"constraints.":[92],"proposed":[94,123],"can":[98],"deal":[99],"feature":[101],"variations":[102],"position,":[104],"scale":[105],"orientation.":[107],"performance":[110],"evaluated":[112],"experimentally":[113],"for":[114],"each":[115],"prove":[118],"robustness":[120],"solution.":[124]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
