{"id":"https://openalex.org/W2947630378","doi":"https://doi.org/10.1109/iciinfs.2018.8721378","title":"DEARESt: Deep Convolutional Aberrant Behavior Detection in Real-world Scenarios","display_name":"DEARESt: Deep Convolutional Aberrant Behavior Detection in Real-world Scenarios","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2947630378","doi":"https://doi.org/10.1109/iciinfs.2018.8721378","mag":"2947630378"},"language":"en","primary_location":{"id":"doi:10.1109/iciinfs.2018.8721378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciinfs.2018.8721378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS)","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/A5110547052","display_name":"Kuldeep Biradar","orcid":null},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kuldeep Biradar","raw_affiliation_strings":["Dept. of CSE, MNIT, Jaipur"],"affiliations":[{"raw_affiliation_string":"Dept. of CSE, MNIT, Jaipur","institution_ids":["https://openalex.org/I83205935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062035497","display_name":"Sachin Dube","orcid":null},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sachin Dube","raw_affiliation_strings":["Dept. of CSE, MNIT, Jaipur"],"affiliations":[{"raw_affiliation_string":"Dept. of CSE, MNIT, Jaipur","institution_ids":["https://openalex.org/I83205935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015414891","display_name":"Santosh Kumar Vipparthi","orcid":"https://orcid.org/0000-0002-5672-3537"},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santosh Kumar Vipparthi","raw_affiliation_strings":["Dept. of CSE, MNIT, Jaipur"],"affiliations":[{"raw_affiliation_string":"Dept. of CSE, MNIT, Jaipur","institution_ids":["https://openalex.org/I83205935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110547052"],"corresponding_institution_ids":["https://openalex.org/I83205935"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.62785401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7119989395141602},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5438436269760132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44739097356796265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7119989395141602},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5438436269760132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44739097356796265}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciinfs.2018.8721378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciinfs.2018.8721378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1686810756","https://openalex.org/W1744759976","https://openalex.org/W1867429401","https://openalex.org/W1923332106","https://openalex.org/W1967456674","https://openalex.org/W1984669326","https://openalex.org/W2019524107","https://openalex.org/W2108598243","https://openalex.org/W2122646361","https://openalex.org/W2160168929","https://openalex.org/W2286655808","https://openalex.org/W2326211297","https://openalex.org/W2331812431","https://openalex.org/W2340896621","https://openalex.org/W2484645444","https://openalex.org/W2515440025","https://openalex.org/W2540481276","https://openalex.org/W2579718262","https://openalex.org/W2588164949","https://openalex.org/W2612693684","https://openalex.org/W2623328435","https://openalex.org/W2892091048","https://openalex.org/W2963541464","https://openalex.org/W2963629021","https://openalex.org/W2963795951","https://openalex.org/W6600983433","https://openalex.org/W6637373629","https://openalex.org/W6748171559","https://openalex.org/W6754591530"],"related_works":["https://openalex.org/W2998526951","https://openalex.org/W3119610945","https://openalex.org/W2735477435","https://openalex.org/W3181746755","https://openalex.org/W2521062615","https://openalex.org/W2901465038","https://openalex.org/W3090822330","https://openalex.org/W2749468216","https://openalex.org/W4239686595","https://openalex.org/W2490962171"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,18,30,39,49,93],"new":[6],"technique:":[7],"DEARESt":[8,16,106],"for":[9,84],"\u201cAberrant":[10],"Behavior":[11],"Detection":[12],"in":[13,70],"surveillance":[14],"videos":[15],"employs":[17],"two-stream":[19],"network":[20],"to":[21,37,47,68,72],"extract":[22,73],"appearance":[23],"and":[24,66,113],"motion":[25,74],"flow":[26],"features":[27,34,52,79],"separately,":[28],"from":[29],"video":[31],"stream.":[32],"These":[33],"are":[35,53,64],"concatenated":[36],"form":[38],"single":[40],"feature":[41],"vector":[42],"that":[43,105],"is":[44,82,90,103],"further":[45],"used":[46,83],"classify":[48],"video.":[50],"Appearance":[51],"captured":[54],"by":[55],"using":[56],"VGG-19,":[57],"while":[58],"optical":[59],"flows":[60],"between":[61],"successive":[62],"frames":[63],"calculated":[65],"fed":[67],"FlowNet":[69],"order":[71],"features.":[75],"After":[76],"concatenation":[77],"of":[78,87,95],"Neural":[80],"Network":[81],"classification.":[85],"Performance":[86],"proposed":[88],"model":[89],"evaluated":[91],"against":[92],"subset":[94],"UCF-crime":[96],"dataset.":[97],"From":[98],"the":[99],"experimental":[100],"results":[101],"it":[102],"evident":[104],"outperforms":[107],"state-of-art":[108],"methods":[109],"namely:":[110],"VGG-16,":[111],"VGG-19":[112],"FlowNet.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
