{"id":"https://openalex.org/W4386598574","doi":"https://doi.org/10.1109/icip49359.2023.10222777","title":"Introducing A Framework for Single-Human Tracking Using Event-Based Cameras","display_name":"Introducing A Framework for Single-Human Tracking Using Event-Based Cameras","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598574","doi":"https://doi.org/10.1109/icip49359.2023.10222777"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://telecom-paris.hal.science/hal-04255949/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049166054","display_name":"Dominik Eisl","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dominik Eisl","raw_affiliation_strings":["Technical University of Munich,Institute of Human-Machine Communication,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Institute of Human-Machine Communication,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053560842","display_name":"Fabian Herzog","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Herzog","raw_affiliation_strings":["Technical University of Munich,Institute of Human-Machine Communication,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Institute of Human-Machine Communication,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055361726","display_name":"Jean\u2010Luc Dugelay","orcid":"https://orcid.org/0000-0003-3151-4330"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Luc Dugelay","raw_affiliation_strings":["EURECOM,Digital Security Department,Sophia Antipolis,France","Eurecom [Sophia Antipolis] (Campus SophiaTech, 450 Route des Chappes, CS 50193 - 06904 Biot Sophia Antipolis cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EURECOM,Digital Security Department,Sophia Antipolis,France","institution_ids":["https://openalex.org/I1902872"]},{"raw_affiliation_string":"Eurecom [Sophia Antipolis] (Campus SophiaTech, 450 Route des Chappes, CS 50193 - 06904 Biot Sophia Antipolis cedex - France)","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058794408","display_name":"Ludovic Apvrille","orcid":"https://orcid.org/0000-0002-1167-4639"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ludovic Apvrille","raw_affiliation_strings":["Institut Polytechnique de Paris,LTCI, Telecom Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris,LTCI, Telecom Paris,France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I12356871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039092855","display_name":"Gerhard Rigoll","orcid":"https://orcid.org/0000-0003-1096-1596"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Rigoll","raw_affiliation_strings":["Technical University of Munich,Institute of Human-Machine Communication,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Institute of Human-Machine Communication,Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3681,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59360246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3269","last_page":"3273"},"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/T13553","display_name":"Age of Information Optimization","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9940000176429749,"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/computer-science","display_name":"Computer science","score":0.7870388627052307},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6996006369590759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.68937748670578},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6675884127616882},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5927338004112244},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5925940871238708},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.56703120470047},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5508444905281067},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.496163934469223},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.49309346079826355},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4891641438007355},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.426461786031723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3454832136631012},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.28140485286712646},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2137872278690338},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10104480385780334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7870388627052307},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6996006369590759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.68937748670578},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6675884127616882},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5927338004112244},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5925940871238708},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.56703120470047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5508444905281067},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.496163934469223},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.49309346079826355},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4891641438007355},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.426461786031723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3454832136631012},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.28140485286712646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2137872278690338},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10104480385780334},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icip49359.2023.10222777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04255949v1","is_oa":true,"landing_page_url":"https://telecom-paris.hal.science/hal-04255949","pdf_url":"https://telecom-paris.hal.science/hal-04255949/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"2023 IEEE International Conference on Image Processing (ICIP), Oct 2023, Kuala Lumpur, Malaysia. pp.3269-3273, &#x27E8;10.1109/ICIP49359.2023.10222777&#x27E9;","raw_type":"Conference papers"},{"id":"pmh:oai:fr.eurecom:7427","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ICIP49359.2023.10222777","pdf_url":null,"source":{"id":"https://openalex.org/S4377196942","display_name":"Graduate School and Research Center in Digital Science (EURECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1902872","host_organization_name":"EURECOM","host_organization_lineage":["https://openalex.org/I1902872"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICIP 2023, 30th IEEE International Conference on Image Processing, 8-11 October 2023, Kuala Lumpur, Malaysia","raw_type":"Conference"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1722651","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1722651","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"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":"","raw_type":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04255949v1","is_oa":true,"landing_page_url":"https://telecom-paris.hal.science/hal-04255949","pdf_url":"https://telecom-paris.hal.science/hal-04255949/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"2023 IEEE International Conference on Image Processing (ICIP), Oct 2023, Kuala Lumpur, Malaysia. pp.3269-3273, &#x27E8;10.1109/ICIP49359.2023.10222777&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.75,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386598574.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2089961441","https://openalex.org/W2097098310","https://openalex.org/W2121962202","https://openalex.org/W2295107390","https://openalex.org/W2768308213","https://openalex.org/W2775178320","https://openalex.org/W2786036844","https://openalex.org/W2789435382","https://openalex.org/W2803347562","https://openalex.org/W2915935370","https://openalex.org/W2921116036","https://openalex.org/W2963127485","https://openalex.org/W2979481854","https://openalex.org/W2981539886","https://openalex.org/W3013427177","https://openalex.org/W3082821608","https://openalex.org/W3090117981","https://openalex.org/W3101118898","https://openalex.org/W3172156412","https://openalex.org/W3183654790","https://openalex.org/W3202353648","https://openalex.org/W4226051885","https://openalex.org/W4288419263","https://openalex.org/W4309875759","https://openalex.org/W4312281374","https://openalex.org/W6637131181","https://openalex.org/W6681158678","https://openalex.org/W6697443983","https://openalex.org/W6745584861","https://openalex.org/W6747827861","https://openalex.org/W6783174830","https://openalex.org/W6783508657","https://openalex.org/W6796925018","https://openalex.org/W6810879400"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Event":[0],"cameras":[1],"generate":[2],"data":[3],"based":[4],"on":[5,150],"the":[6,12,57,73,85,95,114,132,137,154,158],"amount":[7],"of":[8,41,59,62,76,99,118,173],"motion":[9],"present":[10,28],"in":[11,69,89,164],"captured":[13],"scene,":[14],"making":[15],"them":[16],"attractive":[17],"sensors":[18],"for":[19,31,104,128,160],"solving":[20],"object":[21],"tracking":[22,32,148],"tasks.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,45],"a":[29,35,47,54,90,123],"framework":[30],"humans":[33,119],"using":[34],"single":[36],"event":[37],"camera":[38],"which":[39,130],"consists":[40],"three":[42],"components.":[43],"First,":[44],"train":[46],"Graph":[48],"Neural":[49],"Network":[50],"(GNN)":[51],"to":[52,71],"recognize":[53],"person":[55,86],"within":[56],"stream":[58],"events.":[60],"Batches":[61],"events":[63,77],"are":[64,176],"represented":[65],"as":[66,139],"spatio-temporal":[67],"graphs":[68],"order":[70],"preserve":[72],"sparse":[74],"nature":[75],"and":[78,171],"retain":[79],"their":[80],"high":[81],"temporal":[82],"resolution.":[83],"Subsequently,":[84],"is":[87,126],"localized":[88],"weakly-supervised":[91],"manner":[92],"by":[93],"adopting":[94],"well":[96],"established":[97],"method":[98],"Class":[100],"Activation":[101],"Maps":[102],"(CAM)":[103],"our":[105,144,174],"graph-based":[106],"classification":[107],"model.":[108],"Our":[109],"approach":[110,145],"does":[111],"not":[112],"require":[113],"ground":[115],"truth":[116],"position":[117],"during":[120],"training.":[121],"Finally,":[122],"Kalman":[124],"filter":[125],"deployed":[127],"tracking,":[129],"uses":[131],"predicted":[133],"bounding":[134],"box":[135],"surrounding":[136],"human":[138,166],"measurement.":[140],"We":[141],"demonstrate":[142],"that":[143],"achieves":[146],"robust":[147],"results":[149],"test":[151],"sequences":[152],"from":[153],"Gait3":[155],"database,":[156],"paving":[157],"way":[159],"further":[161],"privacy-preserving":[162],"methods":[163],"event-based":[165],"tracking.":[167],"Code,":[168],"pre-trained":[169],"models":[170],"datasets":[172],"research":[175],"publicly":[177],"available":[178],"<sup":[179],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[180],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[181],".":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
