{"id":"https://openalex.org/W4220957624","doi":"https://doi.org/10.1117/12.2623796","title":"Deep neural networks for moving object classification in video surveillance applications","display_name":"Deep neural networks for moving object classification in video surveillance applications","publication_year":2022,"publication_date":"2022-03-05","ids":{"openalex":"https://openalex.org/W4220957624","doi":"https://doi.org/10.1117/12.2623796"},"language":"en","primary_location":{"id":"doi:10.1117/12.2623796","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2623796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth International Conference on Machine Vision (ICMV 2021)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5034708279","display_name":"Rania Rebai","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Rania Rebai","raw_affiliation_strings":["Sfax Univ. (Tunisia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sfax Univ. (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049773616","display_name":"Emna Fendri","orcid":"https://orcid.org/0000-0002-2328-2616"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Emna Fendri","raw_affiliation_strings":["Sfax Univ. (Tunisia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sfax Univ. (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083219723","display_name":"Mohamed Hammami","orcid":"https://orcid.org/0000-0003-3580-0473"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Hammami","raw_affiliation_strings":["Sfax Univ. (Tunisia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sfax Univ. (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142899784"],"apc_list":null,"apc_paid":null,"fwci":0.0925,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.30959723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"56","last_page":"56"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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":0.7483785152435303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6866680383682251},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5882568359375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5725619792938232},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.537566065788269},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4801987409591675},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.412355899810791},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3326604962348938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7483785152435303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6866680383682251},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5882568359375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5725619792938232},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.537566065788269},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4801987409591675},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.412355899810791},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3326604962348938}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2623796","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2623796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth International Conference on Machine Vision (ICMV 2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1591839971","https://openalex.org/W1593727536","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1920702274","https://openalex.org/W1994861322","https://openalex.org/W2015148749","https://openalex.org/W2062118960","https://openalex.org/W2084804054","https://openalex.org/W2097117768","https://openalex.org/W2099971354","https://openalex.org/W2116023101","https://openalex.org/W2118213141","https://openalex.org/W2163605009","https://openalex.org/W2189025296","https://openalex.org/W2191835017","https://openalex.org/W2194775991","https://openalex.org/W2231250283","https://openalex.org/W2332352554","https://openalex.org/W2596273838","https://openalex.org/W2674602386","https://openalex.org/W2785821534","https://openalex.org/W2788907956","https://openalex.org/W2901796758","https://openalex.org/W2923550938","https://openalex.org/W2950935200","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963366965","https://openalex.org/W2963446712","https://openalex.org/W2989692088","https://openalex.org/W2997900157","https://openalex.org/W3037222239","https://openalex.org/W3088102655","https://openalex.org/W3109874103","https://openalex.org/W4206659779","https://openalex.org/W4241278946","https://openalex.org/W4293584584","https://openalex.org/W4300179783","https://openalex.org/W6635399168","https://openalex.org/W6635566511","https://openalex.org/W6637373629","https://openalex.org/W6639204139","https://openalex.org/W6640460044","https://openalex.org/W6649185666","https://openalex.org/W6666023844","https://openalex.org/W6671786769","https://openalex.org/W6674845390","https://openalex.org/W6674914833","https://openalex.org/W6675675320","https://openalex.org/W6677319579","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6725739302","https://openalex.org/W6734722111","https://openalex.org/W6737358541","https://openalex.org/W6740474667","https://openalex.org/W6748371535","https://openalex.org/W6748394406","https://openalex.org/W6749781174","https://openalex.org/W6754940482","https://openalex.org/W6760847372"],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W4239098401","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W2898210368","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W2965594636"],"abstract_inverted_index":{"The":[0],"moving":[1,53,80,113],"object":[2,81],"classification":[3,55,82,115],"is":[4,65],"a":[5,79],"crucial":[6],"step":[7],"for":[8],"several":[9,49],"video":[10],"surveillance":[11],"applications":[12],"whatever":[13],"in":[14,38,60],"the":[15,29,39,61,68,100,108],"visible":[16,90],"or":[17],"thermal":[18],"spectra.":[19,93],"It":[20],"still":[21],"remains":[22],"an":[23,42],"active":[24],"field":[25],"of":[26,31,41,96],"research":[27],"considering":[28],"diversity":[30],"challenges":[32],"related":[33],"to":[34,47,67,119],"this":[35,74],"topic":[36],"mainly":[37],"context":[40],"outdoor":[43],"scene.":[44],"In":[45,73],"order":[46],"overcome":[48],"intricate":[50],"situations,":[51],"many":[52],"objects":[54,114],"methods":[56,88,120],"have":[57,77,105],"been":[58],"proposed":[59,78,109],"literature.":[62],"Particular":[63],"interest":[64],"given":[66],"classes":[69],"\u201cPedestrian\u201d":[70],"and":[71,91,125],"\u201cVehicle\u201d.":[72],"paper,":[75],"we":[76],"approach":[83],"based":[84,121],"on":[85,99,122],"deep":[86,123],"learning":[87,124],"from":[89],"infrared":[92],"Three":[94],"series":[95],"experiments":[97],"carried":[98],"challenging":[101],"dataset":[102],"\u201cCD.net":[103],"2014\u201d":[104],"proved":[106],"that":[107],"method":[110],"reach":[111],"accurate":[112],"results":[116],"when":[117],"compared":[118],"handcrafted":[126],"features.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
