{"id":"https://openalex.org/W4367146303","doi":"https://doi.org/10.1109/csicc58665.2023.10105393","title":"Real-time Steal Recognition on CCTV-Based Videos for Embedded Systems","display_name":"Real-time Steal Recognition on CCTV-Based Videos for Embedded Systems","publication_year":2023,"publication_date":"2023-01-25","ids":{"openalex":"https://openalex.org/W4367146303","doi":"https://doi.org/10.1109/csicc58665.2023.10105393"},"language":"en","primary_location":{"id":"doi:10.1109/csicc58665.2023.10105393","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/csicc58665.2023.10105393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 28th International Computer Conference, Computer Society of Iran (CSICC)","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/A5076008680","display_name":"Sepehr Kerachi","orcid":null},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Sepehr Kerachi","raw_affiliation_strings":["Shahid Beheshti University,Department of Electrical Engineering,Tehran,Iran","Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Shahid Beheshti University,Department of Electrical Engineering,Tehran,Iran","institution_ids":["https://openalex.org/I48379061"]},{"raw_affiliation_string":"Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran","institution_ids":["https://openalex.org/I48379061"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071107255","display_name":"Arian Komaei Koma","orcid":null},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Arian Komaei Koma","raw_affiliation_strings":["Shahid Beheshti University,Department of Electrical Engineering,Tehran,Iran","Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Shahid Beheshti University,Department of Electrical Engineering,Tehran,Iran","institution_ids":["https://openalex.org/I48379061"]},{"raw_affiliation_string":"Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran","institution_ids":["https://openalex.org/I48379061"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055542804","display_name":"Hadi Asharioun","orcid":"https://orcid.org/0000-0002-7500-2073"},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hadi Asharioun","raw_affiliation_strings":["Shahid Beheshti University,Department of Electrical Engineering,Tehran,Iran","Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Shahid Beheshti University,Department of Electrical Engineering,Tehran,Iran","institution_ids":["https://openalex.org/I48379061"]},{"raw_affiliation_string":"Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran","institution_ids":["https://openalex.org/I48379061"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076008680"],"corresponding_institution_ids":["https://openalex.org/I48379061"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03158676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"5"},"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":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.8493366241455078},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7521349191665649},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6237047910690308},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6127915382385254},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5940435528755188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5819702744483948},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5236734747886658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48622575402259827},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4253392517566681},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4234594404697418},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3251117467880249},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32469820976257324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.27218854427337646},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07488003373146057}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8493366241455078},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7521349191665649},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6237047910690308},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6127915382385254},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5940435528755188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5819702744483948},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5236734747886658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48622575402259827},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4253392517566681},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4234594404697418},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3251117467880249},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32469820976257324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27218854427337646},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07488003373146057},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csicc58665.2023.10105393","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/csicc58665.2023.10105393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 28th International Computer Conference, Computer Society of Iran (CSICC)","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":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1924770834","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2102605133","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2507009361","https://openalex.org/W2618530766","https://openalex.org/W2955425717","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2963795951","https://openalex.org/W2964081807","https://openalex.org/W2975044525","https://openalex.org/W2978288215","https://openalex.org/W2982083293","https://openalex.org/W3145444543","https://openalex.org/W3177141386","https://openalex.org/W4297775537","https://openalex.org/W4312658081","https://openalex.org/W4385245566","https://openalex.org/W6628877408","https://openalex.org/W6640212811","https://openalex.org/W6674330103","https://openalex.org/W6737664043","https://openalex.org/W6739901393","https://openalex.org/W6762718338","https://openalex.org/W6768205276","https://openalex.org/W6793164127"],"related_works":["https://openalex.org/W2114275278","https://openalex.org/W4292830139","https://openalex.org/W2769899322","https://openalex.org/W1489511283","https://openalex.org/W4387272257","https://openalex.org/W2026565050","https://openalex.org/W2974914859","https://openalex.org/W2110244802","https://openalex.org/W949345935","https://openalex.org/W2507540959"],"abstract_inverted_index":{"Action":[0],"Recognition":[1],"is":[2,25,75],"a":[3,9,69,130],"computer":[4,35],"vision":[5,36],"task":[6,24,65],"in":[7,68,92,113],"which":[8,93],"given":[10],"video":[11],"has":[12],"to":[13,48,58,115],"be":[14,21,45,53,135],"classified.":[15],"As":[16,129],"far":[17],"as":[18,38,56,81,87],"videos":[19],"should":[20,52],"processed,":[22],"this":[23,51,64],"computationally":[26],"more":[27],"expensive":[28],"than":[29],"the":[30,60,90,117,124,132],"other":[31],"common":[32],"tasks":[33],"of":[34,63,89,123],"such":[37,55],"classification":[39],"and":[40,101,126],"object":[41],"detection.":[42],"There":[43],"will":[44],"many":[46],"issues":[47],"address":[49],"when":[50,73],"implemented,":[54],"how":[57],"handle":[59],"computational":[61],"costs":[62],"while":[66],"working":[67],"real-time":[70],"manner,":[71],"especially":[72],"it":[74],"being":[76],"conducted":[77,112],"on":[78,137],"embedded":[79,138],"devices":[80,139],"well.":[82],"This":[83],"paper":[84],"explores":[85],"surveillance":[86],"one":[88],"situations":[91],"action":[94],"recognition":[95],"becomes":[96],"so":[97],"critical.":[98],"A":[99],"CNN":[100,125],"RNN-based":[102],"solution":[103],"have":[104,110],"been":[105,111],"introduced.":[106],"Then":[107],"some":[108],"experiments":[109],"order":[114],"determine":[116],"best":[118],"architecture":[119],"choice":[120],"for":[121],"each":[122],"RNN":[127],"parts.":[128],"result,":[131],"final":[133],"can":[134],"used":[136],"real":[140],"time":[141],"maintaining":[142],"high":[143],"accuracies.":[144]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}