{"id":"https://openalex.org/W4200129393","doi":"https://doi.org/10.1109/i-smac52330.2021.9640894","title":"Improved Object Detection in Video Surveillance Using Deep Convolutional Neural Network Learning","display_name":"Improved Object Detection in Video Surveillance Using Deep Convolutional Neural Network Learning","publication_year":2021,"publication_date":"2021-11-11","ids":{"openalex":"https://openalex.org/W4200129393","doi":"https://doi.org/10.1109/i-smac52330.2021.9640894"},"language":"en","primary_location":{"id":"doi:10.1109/i-smac52330.2021.9640894","doi":"https://doi.org/10.1109/i-smac52330.2021.9640894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i-smac52330.2021.9640894","pdf_url":null,"source":{"id":"https://openalex.org/S4363607843","display_name":"International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5038662820","display_name":"B. Dhiyanesh","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dhiyanesh B","raw_affiliation_strings":["Hindusthan College of Engineering and Technology, Coimbatore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hindusthan College of Engineering and Technology, Coimbatore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101784664","display_name":"R. Rajesh Kanna","orcid":"https://orcid.org/0000-0002-0049-1394","observed_orcids":["https://orcid.org/0000-0002-0049-1394"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajesh Kanna K","raw_affiliation_strings":["Hindusthan College of Engineering and Technology, Coimbatore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hindusthan College of Engineering and Technology, Coimbatore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110760235","display_name":"S. Robert Rajkumar","orcid":"https://orcid.org/0000-0002-3602-0439","observed_orcids":["https://orcid.org/0000-0002-3602-0439"]},"institutions":[{"id":"https://openalex.org/I4405257457","display_name":"Sona College of Technology","ror":"https://ror.org/059sbnj83","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405257457"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajkumar S","raw_affiliation_strings":["Sona College of Technology, Salem, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sona College of Technology, Salem, India","institution_ids":["https://openalex.org/I4405257457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088530087","display_name":"R. Radha","orcid":"https://orcid.org/0000-0001-9822-0949","observed_orcids":["https://orcid.org/0000-0001-9822-0949"]},"institutions":[{"id":"https://openalex.org/I65220239","display_name":"Karpagam Academy of Higher Education","ror":"https://ror.org/00ssvzv66","country_code":"IN","type":"education","lineage":["https://openalex.org/I65220239"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Radha R","raw_affiliation_strings":["Karpagam Institute of Technology, Coimbatore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karpagam Institute of Technology, Coimbatore, India","institution_ids":["https://openalex.org/I65220239"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7716,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.89963321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7422000169754028,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.7422000169754028,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.25589999556541443,"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":0.0003000000142492354,"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/object-detection","display_name":"object detection","score":0.9919999837875366},{"id":"https://openalex.org/keywords/video-surveillance","display_name":"video surveillance","score":1.0},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7950000166893005},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"probabilistic neural network","score":0.9810000061988831},{"id":"https://openalex.org/keywords/video-streaming","display_name":"video streaming","score":0.48399999737739563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8415393829345703},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7912874817848206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7700834274291992},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7153373956680298},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6412255764007568},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.549271821975708},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48523879051208496},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4841940701007843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45245301723480225},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4361775517463684},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.425758421421051},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.4240732789039612},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40815675258636475},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.27759554982185364}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i-smac52330.2021.9640894","doi":"https://doi.org/10.1109/i-smac52330.2021.9640894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i-smac52330.2021.9640894","pdf_url":null,"source":{"id":"https://openalex.org/S4363607843","display_name":"International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W1997536910","https://openalex.org/W2102605133","https://openalex.org/W2466236778","https://openalex.org/W2540257480","https://openalex.org/W2617080654","https://openalex.org/W2727887115","https://openalex.org/W2742290461","https://openalex.org/W2769179720","https://openalex.org/W2769400802","https://openalex.org/W2783231089","https://openalex.org/W2794991457","https://openalex.org/W2806252395","https://openalex.org/W2884367402","https://openalex.org/W2908939556","https://openalex.org/W2910328875","https://openalex.org/W2938260698","https://openalex.org/W2988916019","https://openalex.org/W3001083904","https://openalex.org/W6631782140"],"related_works":["https://openalex.org/W4312058460","https://openalex.org/W4392408035","https://openalex.org/W3124639502","https://openalex.org/W4224935490","https://openalex.org/W2782964444","https://openalex.org/W2902896091","https://openalex.org/W2971568497","https://openalex.org/W3148661610","https://openalex.org/W4407764983","https://openalex.org/W7222254414"],"abstract_inverted_index":{"In":[0],"this":[1,27,78],"paper,":[2],"a":[3],"convolutional":[4],"neural":[5,18,45],"network":[6,19],"is":[7,69],"used":[8],"to":[9,31],"improve":[10],"the":[11,21,33,39,73,83,94,102,118],"functionality":[12],"of":[13,23,38,42,58,66,72,87,105,124],"object":[14],"detection":[15,86,104],"using":[16],"probabilistic":[17],"in":[20,55,82,99,107],"analysis":[22],"surveillance":[24,67,112],"images.":[25,88],"Next,":[26],"research":[28],"work":[29],"attempts":[30],"examine":[32],"fundamental":[34],"principles":[35],"and":[36,44,85,127],"some":[37],"underlying":[40],"theories":[41],"perceptual":[43],"networks":[46],"are":[47],"often":[48],"missed.":[49],"This":[50],"helps":[51],"you":[52],"understand":[53],"why,":[54],"many":[56],"areas":[57,74],"usage,":[59],"deep":[60],"learning":[61],"has":[62],"increased.":[63],"The":[64,89,114],"processing":[65],"photos":[68],"obviously":[70],"one":[71],"most":[75],"influenced":[76],"by":[77],"exponential":[79],"progress,":[80],"particularly":[81],"identification":[84],"simulation":[90,100],"result":[91],"shows":[92],"that":[93,117],"CNN-PNN":[95],"obtained":[96],"improved":[97],"achievements":[98],"for":[101],"optimal":[103],"objects":[106],"video":[108,111],"streaming":[109],"or":[110],"systems.":[113],"results":[115],"show":[116],"proposed":[119],"method":[120],"achieves":[121],"higher":[122],"rate":[123],"accuracy,":[125],"f-measure":[126],"reduced":[128],"percentage":[129],"error":[130],"than":[131],"other":[132],"methods.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":3}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2021-12-31T00:00:00"}