{"id":"https://openalex.org/W2988427711","doi":"https://doi.org/10.1145/3358331.3358388","title":"Intrusion Detection and Tracking at Railway Crossing","display_name":"Intrusion Detection and Tracking at Railway Crossing","publication_year":2019,"publication_date":"2019-10-17","ids":{"openalex":"https://openalex.org/W2988427711","doi":"https://doi.org/10.1145/3358331.3358388","mag":"2988427711"},"language":"en","primary_location":{"id":"doi:10.1145/3358331.3358388","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3358331.3358388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing","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/A5053423406","display_name":"Naxin Cai","orcid":"https://orcid.org/0000-0002-6027-4500"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Naxin Cai","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073025681","display_name":"Houjin Chen","orcid":"https://orcid.org/0000-0002-9247-8495"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houjin Chen","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653133","display_name":"Yanfeng Li","orcid":"https://orcid.org/0000-0002-8441-7721"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Li","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089537405","display_name":"Yahui Peng","orcid":"https://orcid.org/0000-0002-2520-1170"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahui Peng","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053423406"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.6133,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73300856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9786999821662903,"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":0.7920811176300049},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7301763892173767},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7062321901321411},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6519755125045776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6247946619987488},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5950585603713989},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5840082168579102},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4922434389591217},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.41530799865722656},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3358454704284668},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32438209652900696}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7920811176300049},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7301763892173767},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7062321901321411},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6519755125045776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6247946619987488},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5950585603713989},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5840082168579102},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4922434389591217},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.41530799865722656},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3358454704284668},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32438209652900696},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3358331.3358388","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3358331.3358388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing","raw_type":"proceedings-article"},{"id":"mag:3175640620","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202102249274224119","pdf_url":null,"source":{"id":"https://openalex.org/S4306500161","display_name":"ACM Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"ACM Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.75,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1509520833","https://openalex.org/W1964127768","https://openalex.org/W2030822690","https://openalex.org/W2081947144","https://openalex.org/W2102625004","https://openalex.org/W2105750863","https://openalex.org/W2123129869","https://openalex.org/W2125491588","https://openalex.org/W2127070222","https://openalex.org/W2160223514","https://openalex.org/W2161079788","https://openalex.org/W2885592354"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W2965594636","https://openalex.org/W4327670844"],"abstract_inverted_index":{"Railway":[0],"crossing":[1],"safety":[2],"is":[3,88,101],"an":[4,47,84],"issue":[5],"of":[6,13,59,78],"great":[7],"public":[8,124],"concern.":[9],"With":[10],"the":[11,40,60,76,95,106,123,130],"development":[12],"computer":[14],"vision,":[15],"intelligent":[16],"video":[17],"surveillance":[18],"was":[19,51,116],"widely":[20],"used":[21],"for":[22,53,75,90,136],"object":[23,28,85],"detection.":[24,96],"However,":[25],"most":[26],"existing":[27],"detection":[29,77,135],"methods":[30],"could":[31,152],"not":[32],"perform":[33],"well":[34],"in":[35,94],"outdoor":[36],"environment,":[37],"especially":[38],"under":[39],"bad":[41],"weather":[42],"conditions.":[43],"In":[44],"this":[45],"paper,":[46],"intrusion":[48],"detecting":[49],"algorithm":[50],"proposed":[52,131],"railway":[54,120],"crossing.":[55],"Our":[56,114],"method":[57,115,132],"consists":[58],"following":[61],"three":[62,65],"steps.":[63],"First,":[64],"nonparametric":[66],"background":[67,107],"models":[68,108],"with":[69],"different":[70],"learning":[71],"rates":[72],"are":[73,112],"designed":[74],"moving":[79,138],"and":[80,122,139,142,149],"static":[81,110,140],"objects.":[82],"Second,":[83],"tracking":[86],"strategy":[87],"introduced":[89,102],"reducing":[91],"false":[92,144],"positives":[93,145],"Finally,":[97],"a":[98],"feedback":[99],"mechanism":[100],"to":[103],"selectively":[104],"update":[105],"when":[109],"objects":[111,141],"removed.":[113],"tested":[117],"on":[118],"real":[119],"sequences":[121],"i-LIDS":[125],"datasets.":[126],"Experimental":[127],"results":[128],"showed":[129],"achieves":[133],"accurate":[134],"both":[137],"some":[143],"caused":[146],"by":[147],"rains":[148],"partial":[150],"occlusion":[151],"be":[153],"reduced.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}