{"id":"https://openalex.org/W4402351406","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650378","title":"Segmentation of Human Body Parts using Growing Neural Gas with Event Camera","display_name":"Segmentation of Human Body Parts using Growing Neural Gas with Event Camera","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351406","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650378"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650378","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5057747727","display_name":"Masatoshi Eguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masatoshi Eguchi","raw_affiliation_strings":["Tokyo Metropolitan University,Department of Mechanical System Engineering,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University,Department of Mechanical System Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070827994","display_name":"Takenori Obo","orcid":"https://orcid.org/0009-0009-0318-470X"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takenori Obo","raw_affiliation_strings":["Tokyo Metropolitan University,Department of Mechanical System Engineering,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University,Department of Mechanical System Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074076109","display_name":"Naoyuki Kubota","orcid":"https://orcid.org/0000-0001-8829-037X"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoyuki Kubota","raw_affiliation_strings":["Tokyo Metropolitan University,Department of Mechanical System Engineering,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University,Department of Mechanical System Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057747727"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14208546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9879000186920166,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9879000186920166,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9763000011444092,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6782114505767822},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6491174101829529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6440176367759705},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5184716582298279},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4833769202232361},{"id":"https://openalex.org/keywords/neural-gas","display_name":"Neural gas","score":0.4814397692680359},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.48019325733184814},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43124639987945557},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.12009289860725403},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07837328314781189}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6782114505767822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6491174101829529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6440176367759705},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5184716582298279},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4833769202232361},{"id":"https://openalex.org/C90322556","wikidata":"https://www.wikidata.org/wiki/Q1981169","display_name":"Neural gas","level":4,"score":0.4814397692680359},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.48019325733184814},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43124639987945557},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.12009289860725403},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07837328314781189},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650378","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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":20,"referenced_works":["https://openalex.org/W2087015032","https://openalex.org/W2101491865","https://openalex.org/W2134370969","https://openalex.org/W2767800299","https://openalex.org/W2788172931","https://openalex.org/W2789435382","https://openalex.org/W2955504279","https://openalex.org/W3013427177","https://openalex.org/W3101118898","https://openalex.org/W3106188738","https://openalex.org/W3183654790","https://openalex.org/W4210904135","https://openalex.org/W4214493076","https://openalex.org/W4237222446","https://openalex.org/W4285182881","https://openalex.org/W4295792997","https://openalex.org/W4327990117","https://openalex.org/W4384377114","https://openalex.org/W4385805013","https://openalex.org/W6851029726"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2391251536","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W2362198218","https://openalex.org/W1522196789","https://openalex.org/W2536339313"],"abstract_inverted_index":{"Event":[0],"cameras":[1],"offer":[2],"superior":[3],"performance":[4],"in":[5,31],"terms":[6],"of":[7,92],"temporal":[8],"resolution,":[9],"dynamic":[10],"range,":[11],"latency,":[12],"and":[13],"power":[14],"efficiency":[15],"compared":[16],"to":[17,22],"conventional":[18],"cameras.":[19,62],"However,":[20],"due":[21],"their":[23],"unique":[24],"operational":[25],"principles,":[26],"which":[27],"involve":[28],"measuring":[29],"changes":[30],"luminance":[32],"values,":[33],"tasks":[34],"such":[35],"as":[36],"human":[37,57,93],"pose":[38,58],"estimation":[39,59],"become":[40],"more":[41],"challenging.":[42],"In":[43],"this":[44],"study,":[45],"we":[46,70],"propose":[47],"a":[48,97],"real-time":[49],"feature":[50],"extraction":[51],"method":[52],"from":[53],"event":[54,61],"data":[55],"for":[56,75],"using":[60],"Specifically,":[63],"after":[64],"adjusting":[65],"resolutions":[66],"with":[67,96],"Multi-resolution":[68],"Maps,":[69],"employ":[71],"Growing":[72],"Neural":[73],"Gas":[74],"topological":[76],"clustering.":[77],"Subsequently,":[78],"spectral":[79],"clustering":[80],"is":[81],"performed":[82],"based":[83],"on":[84,99],"the":[85,90,100],"resulting":[86],"graph":[87,101],"structure,":[88],"enabling":[89],"segmentation":[91],"body":[94],"parts":[95],"focus":[98],"structure.":[102]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}