{"id":"https://openalex.org/W2127756482","doi":"https://doi.org/10.1109/ijcnn.2004.1380133","title":"Neural network based threat assessment for automated visual surveillance","display_name":"Neural network based threat assessment for automated visual surveillance","publication_year":2005,"publication_date":"2005-04-05","ids":{"openalex":"https://openalex.org/W2127756482","doi":"https://doi.org/10.1109/ijcnn.2004.1380133","mag":"2127756482"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1380133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","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/A5048239546","display_name":"Tony Jan","orcid":"https://orcid.org/0000-0002-3114-8978"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"T. Jan","raw_affiliation_strings":["Department of Computer Systems, University of Technology-Sydney, NSW, Australia","[Department of Computer Systems, University of Technology-Sydney, NSW, Australia]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Systems, University of Technology-Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"[Department of Computer Systems, University of Technology-Sydney, NSW, Australia]","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048239546"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":3.283,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.92927063,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"1309","last_page":"1312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8347203731536865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6939159035682678},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6852579116821289},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5918421149253845},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5807470679283142},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5783079266548157},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5521843433380127},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.479015052318573},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46619337797164917},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.24975323677062988},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2109246850013733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8347203731536865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6939159035682678},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6852579116821289},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5918421149253845},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5807470679283142},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5783079266548157},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5521843433380127},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.479015052318573},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46619337797164917},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.24975323677062988},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2109246850013733},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2004.1380133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/10930","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/10930","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W94523489","https://openalex.org/W1514209323","https://openalex.org/W1639784222","https://openalex.org/W1964168965","https://openalex.org/W1971713783","https://openalex.org/W1993740947","https://openalex.org/W2102124806","https://openalex.org/W2111354442","https://openalex.org/W2111710640","https://openalex.org/W2138256834","https://openalex.org/W2161217126","https://openalex.org/W2168146886","https://openalex.org/W4213332169","https://openalex.org/W6603834347","https://openalex.org/W6636759891"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2494523064","https://openalex.org/W1991381172","https://openalex.org/W2988849960","https://openalex.org/W2005234362","https://openalex.org/W2145799841","https://openalex.org/W2162970382","https://openalex.org/W1997235926","https://openalex.org/W1594962745","https://openalex.org/W2218432727"],"abstract_inverted_index":{"In":[0,78,118],"automated":[1],"visual":[2,99],"surveillance":[3,76,100],"systems":[4],"(AVSS),":[5],"reliable":[6,91],"detection":[7],"of":[8,13,26,29,47],"suspicious":[9],"human":[10,30,131],"behavior":[11],"is":[12,59,86],"great":[14],"practical":[15],"importance.":[16],"Many":[17],"conventional":[18],"classifiers":[19],"have":[20],"shown":[21],"to":[22,61,114],"perform":[23,42,69],"inadequately":[24],"because":[25],"unpredictable":[27],"nature":[28],"behavior.":[31],"Flexible":[32],"models":[33,40,49],"such":[34],"as":[35],"artificial":[36],"neural":[37,83],"network":[38,84],"(ANN)":[39],"can":[41,50,68,89],"better;":[43],"however,":[44],"computational":[45],"requirement":[46],"ANN":[48,65,116],"be":[51],"prohibitively":[52],"large":[53],"for":[54,71,135],"realtime":[55],"video":[56],"processing.":[57],"It":[58],"interesting":[60],"construct":[62],"a":[63],"small-sized":[64],"classifier":[66],"that":[67,88,103],"well":[70],"threat":[72,136],"assessment":[73],"in":[74],"video-based":[75],"system.":[77],"this":[79,119],"paper,":[80],"modified":[81],"probabilistic":[82],"(MPNN)":[85],"introduced":[87],"achieve":[90],"classification,":[92],"with":[93,109],"significantly":[94],"reduced":[95,111],"computation.":[96],"Experiment":[97],"on":[98],"application":[101],"shows":[102],"MPNN":[104],"achieves":[105],"good":[106],"classification":[107],"but":[108],"much":[110],"computation":[112],"compared":[113],"other":[115],"models.":[117],"application,":[120],"trajectory":[121],"profile":[122],"and":[123],"motion":[124],"history":[125],"image":[126],"information":[127],"from":[128],"the":[129],"observed":[130],"subject":[132],"are":[133],"used":[134],"assessment.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
