{"id":"https://openalex.org/W4408861166","doi":"https://doi.org/10.1109/icce63647.2025.10929963","title":"Abnormal Behavior Detection Network System Using 3D LiDAR for Station Platforms","display_name":"Abnormal Behavior Detection Network System Using 3D LiDAR for Station Platforms","publication_year":2025,"publication_date":"2025-01-11","ids":{"openalex":"https://openalex.org/W4408861166","doi":"https://doi.org/10.1109/icce63647.2025.10929963"},"language":"en","primary_location":{"id":"doi:10.1109/icce63647.2025.10929963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10929963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","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/A5003964099","display_name":"Y. Koyama","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Koyama","raw_affiliation_strings":["Ritsumeikan University, Graduate School of Information Science and Engineering,Osaka,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Graduate School of Information Science and Engineering,Osaka,Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022989854","display_name":"Hideaki Miyaji","orcid":"https://orcid.org/0000-0002-4182-8141"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideaki Miyaji","raw_affiliation_strings":["Ritsumeikan University, College of Information Science and Engineering,Osaka,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, College of Information Science and Engineering,Osaka,Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101808540","display_name":"Hiroshi Yamamoto","orcid":"https://orcid.org/0000-0003-0892-2213"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Yamamoto","raw_affiliation_strings":["Ritsumeikan University, College of Information Science and Engineering,Osaka,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, College of Information Science and Engineering,Osaka,Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03752772,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9273999929428101,"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":0.9273999929428101,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9042999744415283,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8736132383346558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6276087164878845},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38592666387557983},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3762266933917999},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12168022990226746}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8736132383346558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6276087164878845},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38592666387557983},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3762266933917999},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12168022990226746}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce63647.2025.10929963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10929963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5911970190","display_name":null,"funder_award_id":"JPNP22006","funder_id":"https://openalex.org/F4320321034","funder_display_name":"New Energy and Industrial Technology Development Organization"}],"funders":[{"id":"https://openalex.org/F4320321034","display_name":"New Energy and Industrial Technology Development Organization","ror":"https://ror.org/0055k7a87"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1976383685","https://openalex.org/W2018480592","https://openalex.org/W2124781496","https://openalex.org/W4366250349","https://openalex.org/W4384027398","https://openalex.org/W4387829217"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421"],"abstract_inverted_index":{"Despite":[0],"various":[1],"countermeasures":[2],"implemented":[3],"by":[4,102,183,190,218,241],"railway":[5,16],"companies,":[6],"human":[7,101,179,248],"accidents":[8,27,83],"related":[9],"with":[10,246],"railways":[11],"continue":[12],"to":[13,25,43,209,230],"occur.":[14],"The":[15],"companies":[17],"are":[18,69,125],"installing":[19],"platform":[20,39,182],"doors":[21,40],"on":[22,133,180,200],"station":[23,56,181,256],"platforms":[24,57],"prevent":[26],"that":[28,67,94,109,173],"a":[29,92,100,158,171,219,247],"passenger":[30],"falls":[31],"off":[32],"the":[33,36,52,61,82,89,96,113,119,162,175,196,201,226,235,250],"platform.":[34,202],"However,":[35,129],"installation":[37],"of":[38,54,99,118,178,198],"costs":[41],"up":[42],"several":[44],"billion":[45],"yen":[46],"per":[47],"station,":[48],"as":[49,51,144],"well":[50],"cost":[53],"upgrading":[55],"for":[58,72,161,223],"installation.":[59],"On":[60],"other":[62],"hand,":[63],"it":[64],"is":[65,157],"clarified":[66],"there":[68],"predictive":[70],"behaviors":[71,177],"drunken":[73,145],"passengers":[74],"falling":[75],"from":[76,105,249],"platforms.":[77,257],"By":[78,203],"detecting":[79],"this":[80,167],"behavior,":[81],"could":[84],"potentially":[85],"be":[86],"prevented.":[87],"In":[88],"existing":[90],"studies,":[91],"system":[93,172,194,228,237],"tracks":[95],"movement":[97,135,213],"trajectory":[98],"analyzing":[103,184,216],"data":[104,188,207,253],"3D":[106,185,191],"LiDAR":[107],"sensors":[108],"can":[110],"accurately":[111],"measure":[112],"distance,":[114],"position,":[115],"and":[116,127,137,215],"shape":[117],"object,":[120],"installed":[121],"at":[122,255],"multiple":[123],"locations":[124],"proposed":[126,227,236],"developed.":[128],"these":[130],"studies":[131],"focus":[132],"estimating":[134],"trajectories":[136],"do":[138,150],"not":[139,151],"address":[140],"abnormal":[141,176,232],"behavior":[142,146,197],"such":[143],"detection.":[147],"Additionally,":[148],"they":[149],"consider":[152],"real-time":[153],"processing":[154,239],"capabilities,":[155],"which":[156],"significant":[159],"limitation":[160],"critical":[163],"situations.":[164],"Therefore,":[165],"in":[166],"study,":[168],"we":[169],"propose":[170],"detects":[174],"point":[186,205,251],"cloud":[187,206,252],"taken":[189],"LiDAR.":[192],"This":[193],"observes":[195],"individuals":[199],"extracting":[204,242],"corresponding":[208,245],"individuals,":[210],"observing":[211],"their":[212],"trajectories,":[214],"them":[217],"machine":[220],"learning":[221],"model":[222],"anomaly":[224],"detection,":[225],"aims":[229],"identify":[231],"behaviors.":[233],"Furthermore,":[234],"reduces":[238],"time":[240],"only":[243],"points":[244],"observed":[254]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}