{"id":"https://openalex.org/W2942607356","doi":"https://doi.org/10.1109/ised.2018.8704021","title":"Crowd Panic Detection Using Autoencoder with Non-uniform Feature Extraction","display_name":"Crowd Panic Detection Using Autoencoder with Non-uniform Feature Extraction","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2942607356","doi":"https://doi.org/10.1109/ised.2018.8704021","mag":"2942607356"},"language":"en","primary_location":{"id":"doi:10.1109/ised.2018.8704021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ised.2018.8704021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 8th International Symposium on Embedded Computing and System Design (ISED)","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/A5101810813","display_name":"Michael George","orcid":"https://orcid.org/0000-0001-7917-8634"},"institutions":[{"id":"https://openalex.org/I20497027","display_name":"Cochin University of Science and Technology","ror":"https://ror.org/00a4kqq17","country_code":"IN","type":"education","lineage":["https://openalex.org/I20497027"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Michael George","raw_affiliation_strings":["School of Engineering, CUSAT, Kochi, Kerala, India"],"affiliations":[{"raw_affiliation_string":"School of Engineering, CUSAT, Kochi, Kerala, India","institution_ids":["https://openalex.org/I20497027"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085585317","display_name":"C. V. Bijitha","orcid":null},"institutions":[{"id":"https://openalex.org/I20497027","display_name":"Cochin University of Science and Technology","ror":"https://ror.org/00a4kqq17","country_code":"IN","type":"education","lineage":["https://openalex.org/I20497027"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bijitha C.V.","raw_affiliation_strings":["Cochin University of Science and Technology, Kochi, Kerala, IN"],"affiliations":[{"raw_affiliation_string":"Cochin University of Science and Technology, Kochi, Kerala, IN","institution_ids":["https://openalex.org/I20497027"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103399400","display_name":"Babita R. Jose","orcid":null},"institutions":[{"id":"https://openalex.org/I20497027","display_name":"Cochin University of Science and Technology","ror":"https://ror.org/00a4kqq17","country_code":"IN","type":"education","lineage":["https://openalex.org/I20497027"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Babita Roslind Jose","raw_affiliation_strings":["School of Engineering, CUSAT, Kochi, Kerala, India"],"affiliations":[{"raw_affiliation_string":"School of Engineering, CUSAT, Kochi, Kerala, India","institution_ids":["https://openalex.org/I20497027"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101810813"],"corresponding_institution_ids":["https://openalex.org/I20497027"],"apc_list":null,"apc_paid":null,"fwci":0.3257,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.69988069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9983999729156494,"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":0.9948999881744385,"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/autoencoder","display_name":"Autoencoder","score":0.949750542640686},{"id":"https://openalex.org/keywords/panic","display_name":"Panic","score":0.8559690117835999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.754310667514801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.669518232345581},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6606153249740601},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6431233286857605},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6169497966766357},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5772829055786133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5561085939407349},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5539268851280212},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23738303780555725},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.17095452547073364},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08549979329109192}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.949750542640686},{"id":"https://openalex.org/C2780712732","wikidata":"https://www.wikidata.org/wiki/Q208450","display_name":"Panic","level":3,"score":0.8559690117835999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.754310667514801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.669518232345581},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6606153249740601},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6431233286857605},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6169497966766357},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5772829055786133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5561085939407349},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5539268851280212},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23738303780555725},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.17095452547073364},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08549979329109192},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C558461103","wikidata":"https://www.wikidata.org/wiki/Q154430","display_name":"Anxiety","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ised.2018.8704021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ised.2018.8704021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 8th International Symposium on Embedded Computing and System Design (ISED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1565206031","https://openalex.org/W1939198552","https://openalex.org/W2036534826","https://openalex.org/W2296663812","https://openalex.org/W2487604438","https://openalex.org/W2541266195","https://openalex.org/W2560335610","https://openalex.org/W2579718262","https://openalex.org/W2606538621","https://openalex.org/W2618804439","https://openalex.org/W2752383117","https://openalex.org/W2785413052","https://openalex.org/W2929860100","https://openalex.org/W6633567737"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2803255133","https://openalex.org/W1979041948"],"abstract_inverted_index":{"This":[0,39],"paper":[1],"presents":[2],"a":[3,44,76,97],"crowd":[4,71,77,98,103,111],"panic":[5,78,99,104,112],"detection":[6,74,105],"method":[7],"based":[8,28,81],"on":[9,82,109],"an":[10],"autoencoder":[11,22,60,88],"that":[12,48,68,85,114],"uses":[13],"motion":[14,27],"features":[15,65,94],"extracted":[16,42,95],"from":[17,43,66,96],"non-uniform":[18,45],"spatio-temporal":[19,46],"region.":[20],"The":[21,59,73,101],"is":[23,41,61,80,107],"fed":[24],"with":[25,54,63],"recent":[26],"feature":[29,40],"called":[30],"Histogram":[31],"of":[32,75,117],"Optical":[33],"Flow":[34],"Orientation":[35],"and":[36],"Magnitude":[37],"(HOFM).":[38],"region":[47],"considers":[49],"the":[50,57,83,86,93,118],"surveillance":[51],"camera":[52],"position":[53],"respect":[55],"to":[56,91],"scene.":[58,100],"trained":[62,87],"such":[64],"scenes":[67],"involve":[69],"normal":[70],"behaviour.":[72],"situation":[79],"fact":[84],"will":[89],"struggle":[90],"reconstruct":[92],"proposed":[102],"methodology":[106],"tested":[108],"three":[110],"sequences":[113],"are":[115],"part":[116],"LV":[119],"dataset.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
