{"id":"https://openalex.org/W4404954792","doi":"https://doi.org/10.1109/icses63445.2024.10763102","title":"Crime Detection and Geospatial Alert System using LRCN and Streamlit for Smart City Surveillance","display_name":"Crime Detection and Geospatial Alert System using LRCN and Streamlit for Smart City Surveillance","publication_year":2024,"publication_date":"2024-10-15","ids":{"openalex":"https://openalex.org/W4404954792","doi":"https://doi.org/10.1109/icses63445.2024.10763102"},"language":"en","primary_location":{"id":"doi:10.1109/icses63445.2024.10763102","doi":"https://doi.org/10.1109/icses63445.2024.10763102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icses63445.2024.10763102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 4th International Conference on Sustainable Expert Systems (ICSES)","raw_type":"proceedings-article"},"volume":null,"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/A5013892195","display_name":"N. Sunanda","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Sunanda","raw_affiliation_strings":["VNR Vignana Jyothi Institute of Engineering and Technology,Department of CSE-(CyS,DS) and AI&DS,Hyderabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VNR Vignana Jyothi Institute of Engineering and Technology,Department of CSE-(CyS,DS) and AI&DS,Hyderabad,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069764201","display_name":"Diddi Shravya","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diddi Shravya","raw_affiliation_strings":["VNR Vignana Jyothi Institute of Engineering and Technology,Department of CSE- Cybersecurity,Hyderabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VNR Vignana Jyothi Institute of Engineering and Technology,Department of CSE- Cybersecurity,Hyderabad,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114971944","display_name":"Akula Pravalika","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akula Pravalika","raw_affiliation_strings":["VNR Vignana Jyothi Institute of Engineering and Technology,Department of CSE- Cybersecurity,Hyderabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VNR Vignana Jyothi Institute of Engineering and Technology,Department of CSE- Cybersecurity,Hyderabad,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023302187","display_name":"D Amulya","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dharavath Amulya","raw_affiliation_strings":["VNR Vignana Jyothi Institute of Engineering and Technology,Department of CSE- Cybersecurity,Hyderabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VNR Vignana Jyothi Institute of Engineering and Technology,Department of CSE- Cybersecurity,Hyderabad,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114971945","display_name":"K. Praiwala Saffronia","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Praiwala Saffronia","raw_affiliation_strings":["VNR Vignana Jyothi Institute of Engineering and Technology,Department of CSE- Cybersecurity,Hyderabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VNR Vignana Jyothi Institute of Engineering and Technology,Department of CSE- Cybersecurity,Hyderabad,India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4583,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69376984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1424","last_page":"1432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.6913999915122986,"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":0.6913999915122986,"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":0.2858999967575073,"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":0.005100000184029341,"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/crime-detection","display_name":"crime detection","score":0.9819999933242798},{"id":"https://openalex.org/keywords/video-surveillance","display_name":"video surveillance","score":0.9279999732971191},{"id":"https://openalex.org/keywords/long-term-recurrent-convolutional-network","display_name":"long-term recurrent convolutional network","score":0.8009999990463257},{"id":"https://openalex.org/keywords/real-time-video-analysis","display_name":"real-time video analysis","score":0.7480000257492065},{"id":"https://openalex.org/keywords/location-based-alerts","display_name":"location-based alerts","score":0.7749999761581421},{"id":"https://openalex.org/keywords/human-action-recognition","display_name":"human action recognition","score":0.578000009059906},{"id":"https://openalex.org/keywords/evidence-storage","display_name":"evidence storage","score":0.6539999842643738},{"id":"https://openalex.org/keywords/smart-city-security","display_name":"smart city security","score":0.7580000162124634},{"id":"https://openalex.org/keywords/public-safety","display_name":"public safety","score":0.7269999980926514}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8445053100585938},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5606623888015747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5265054106712341},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.5091554522514343},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.207037091255188},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15525734424591064},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.12499627470970154}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icses63445.2024.10763102","doi":"https://doi.org/10.1109/icses63445.2024.10763102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icses63445.2024.10763102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 4th International Conference on Sustainable Expert Systems (ICSES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5473999977111816,"display_name":"Peace, justice, and strong institutions"}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/11","score":0.6000000238418579,"display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W3158715023","https://openalex.org/W4207058220","https://openalex.org/W4385065823","https://openalex.org/W4399486498","https://openalex.org/W4406711400"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4367313141","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W4283374591","https://openalex.org/W2910751785","https://openalex.org/W4390100400"],"abstract_inverted_index":{"Advances":[0],"in":[1,23,27,74,126,268],"surveillance":[2,188],"cameras":[3],"that":[4,67,174,239],"have":[5,19,109],"risen":[6],"with":[7,39,147,202],"the":[8,40,44,65,138,163,176,216,270],"need":[9],"for":[10,97,153],"increased":[11],"security":[12,271],"and":[13,54,107,117,130,199,230,248,260],"prevention":[14,234],"of":[15,57,64,94,141,208,244,250,258,272],"real-":[16],"time":[17],"crimes":[18,113],"become":[20],"very":[21,204],"common":[22],"public.":[24],"Advanced":[25],"analyses":[26],"machine":[28],"learning":[29],"can":[30],"detect":[31],"crime":[32,171,233],"from":[33,186,241],"video":[34,71,76,118,187,223],"footage,":[35],"but":[36],"problems":[37,45],"persist":[38],"current":[41,164],"systems.":[42,165,189],"Among":[43],"include":[46],"being":[47],"unable":[48],"to":[49,82,182,194],"pinpoint":[50],"specific":[51],"criminal":[52,142,198,212],"activities":[53,143],"a":[55,87,90,133,148,169,203,236,265],"lack":[56],"location-based":[58],"alerts":[59,81,155,220,251],"or":[60,78],"real-time":[61,75,149,170,219,246],"analysis.":[62],"Most":[63],"systems":[66],"exist":[68],"cannot":[69,79],"perform":[70],"feed":[72],"analysis":[73],"feeds":[77,185],"send":[80],"relevant":[83],"authorities":[84],"promptly.":[85],"As":[86],"result,":[88],"such":[89,104],"solution":[91,267],"would":[92],"be":[93],"limited":[95,125],"effectiveness":[96],"public":[98,228,273],"safety.":[99],"All":[100],"these":[101,121],"new":[102],"techniques,":[103],"as":[105,211,225],"CNN":[106],"RNN,":[108],"been":[110,159],"implemented":[111],"on":[112],"regarding":[114],"action":[115],"recognition":[116],"surveillance.":[119],"However,":[120],"approaches":[122],"are":[123],"often":[124],"precision,":[127],"detection":[128,140,172],"speed,":[129],"scalability.":[131],"Specifically,":[132],"possible":[134],"identified":[135],"limitation":[136],"is":[137,192,214,235],"precise":[139],"within":[144,162],"varied":[145],"environments":[146],"response.":[150],"Moreover,":[151],"geocoding":[152],"localized":[154],"has":[156],"not":[157],"yet":[158],"well":[160],"applied":[161],"This":[166],"paper":[167],"presents":[168],"system":[173,191,217],"uses":[175],"Long-term":[177],"Recurrent":[178],"Convolutional":[179],"Network":[180],"model":[181],"analyze":[183],"live":[184],"The":[190],"meant":[193],"classify":[195],"actions":[196,201],"into":[197,264],"noncriminal":[200],"good":[205],"success":[206],"rate":[207],"98%.":[209],"Even":[210],"activity":[213],"detected,":[215],"provides":[218],"while":[221],"storing":[222],"clips":[224],"evidence.":[226],"Improving":[227],"safety":[229],"offering":[231],"proactive":[232],"significant":[237],"improvement":[238],"results":[240],"tackling":[242],"issues":[243],"accuracy,":[245],"processing,":[247],"specificity":[249],"by":[252],"this":[253],"system.":[254],"Real-time":[255],"analysis,":[256],"generation":[257],"alerts,":[259],"evidence":[261],"storage":[262],"integrate":[263],"solid":[266],"enhancing":[269],"space.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}