{"id":"https://openalex.org/W4398234541","doi":"https://doi.org/10.1145/3658271.3658338","title":"Suspicious Behavior Detection near Vehicles in University Environment: An Approach using Object Detection and Body Angles","display_name":"Suspicious Behavior Detection near Vehicles in University Environment: An Approach using Object Detection and Body Angles","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4398234541","doi":"https://doi.org/10.1145/3658271.3658338"},"language":"en","primary_location":{"id":"doi:10.1145/3658271.3658338","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3658271.3658338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th Brazilian Symposium on Information Systems","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/A5060910615","display_name":"Carlos Augusto Marcondes dos Santos","orcid":"https://orcid.org/0009-0008-9120-9294"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Caio Nery Matos Santos","raw_affiliation_strings":["FORMAS Research Center - Instituto de Computa\u00e7\u00e3o, Universidade Federal da Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"FORMAS Research Center - Instituto de Computa\u00e7\u00e3o, Universidade Federal da Bahia, Brazil","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002539501","display_name":"Daniela Barreiro Claro","orcid":"https://orcid.org/0000-0001-8586-1042"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Daniela Barreiro Claro","raw_affiliation_strings":["FORMAS Research Center - Instituto de Computa\u00e7\u00e3o, Universidade Federal da Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"FORMAS Research Center - Instituto de Computa\u00e7\u00e3o, Universidade Federal da Bahia, Brazil","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002110586","display_name":"Jo\u00e3o Medrado Gondim","orcid":"https://orcid.org/0000-0001-7225-1165"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Medrado Gondim","raw_affiliation_strings":["FORMAS Research Center - Instituto de Computa\u00e7\u00e3o, Universidade Federal da Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"FORMAS Research Center - Instituto de Computa\u00e7\u00e3o, Universidade Federal da Bahia, Brazil","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034573634","display_name":"Babacar Man\u00e9","orcid":"https://orcid.org/0000-0002-9519-2847"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Babacar Mane","raw_affiliation_strings":["FORMAS Research Center - Instituto de Computa\u00e7\u00e3o, Universidade Federal da Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"FORMAS Research Center - Instituto de Computa\u00e7\u00e3o, Universidade Federal da Bahia, Brazil","institution_ids":["https://openalex.org/I126158947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060910615"],"corresponding_institution_ids":["https://openalex.org/I126158947"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05568855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9890999794006348,"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":0.7760210037231445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6172271966934204},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5641500949859619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5238404273986816},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4364798963069916},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.24746814370155334}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7760210037231445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6172271966934204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5641500949859619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5238404273986816},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4364798963069916},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.24746814370155334}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3658271.3658338","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3658271.3658338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th Brazilian Symposium on Information Systems","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":13,"referenced_works":["https://openalex.org/W99127077","https://openalex.org/W2025904271","https://openalex.org/W2086332357","https://openalex.org/W2804451008","https://openalex.org/W2962766617","https://openalex.org/W3008255974","https://openalex.org/W3099622891","https://openalex.org/W3104282073","https://openalex.org/W3129655511","https://openalex.org/W3210846399","https://openalex.org/W4322630961","https://openalex.org/W4382052195","https://openalex.org/W4386389119"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Context:":[0],"With":[1],"the":[2,7,48,67,99,112,125,133,167,182,203,213,223,232,238],"advancement":[3],"of":[4,50,53,75,128,137,157,169,184,193,197,205,253],"smart":[5],"cities,":[6],"University":[8,233],"environment":[9,69],"demands":[10],"surveillance":[11],"camera":[12,95,255],"systems":[13,96,104],"to":[14,19,47,97,116,124,142,225],"increase":[15],"their":[16,81],"monitoring":[17],"capabilities":[18],"prevent":[20],"malicious":[21],"behaviors":[22,187],"without":[23],"prohibiting":[24],"people\u2019s":[25],"circulation.":[26],"Problem:":[27],"Universities":[28],"have":[29],"large":[30],"parking":[31,259],"lots":[32],"with":[33,94,118,190],"many":[34],"vehicles":[35,77,189],"and":[36,44,57,78,83,86,135,145,161,195,200,246],"face":[37],"daily":[38],"security":[39,59,65,101,217,254],"problems,":[40],"such":[41],"as":[42,89],"robberies":[43],"kidnappings,":[45],"due":[46],"lack":[49],"cameras":[51],"capable":[52,74],"detecting":[54,84],"suspicious":[55,90,186,227],"behavior":[56,91],"alerting":[58],"personnel.":[60],"Solution:":[61],"Our":[62,149,172,208,235],"approach":[63,236],"enhances":[64],"in":[66,202,231,257],"university":[68,258],"by":[70,177],"developing":[71],"a":[72,191,251],"system":[73,218],"recognizing":[76],"individuals,":[79],"assessing":[80],"proximity,":[82],"gestures":[85],"actions":[87],"labeled":[88],"while":[92],"interoperating":[93],"alert":[98],"appropriate":[100],"authorities.":[102],"Information":[103],"theory:":[105],"This":[106],"work":[107],"was":[108],"conceived":[109],"based":[110],"on":[111],"General":[113],"System":[114],"Theory":[115],"interact":[117],"pre-existing":[119],"heterogeneous":[120],"systems.":[121],"It":[122],"relates":[123],"Technological":[126],"Frames":[127],"Reference":[129],"theory,":[130],"which":[131],"involves":[132],"perception":[134],"interpretation":[136],"real-time":[138],"object":[139],"detection":[140,183],"technology":[141],"monitor,":[143],"alert,":[144],"ensure":[146],"security.":[147],"Method:":[148],"research":[150],"method":[151],"is":[152,164],"an":[153],"experimental,":[154],"descriptive":[155],"investigation":[156],"collecting":[158],"quantitative":[159],"data,":[160],"our":[162,216],"evaluation":[163],"conducted":[165],"through":[166],"proof":[168],"concept.":[170],"Results:":[171],"artifact":[173,224],"demonstrated":[174],"its":[175],"feasibility":[176],"exhibiting":[178],"good":[179],"performance,":[180],"enabling":[181],"pre-defined":[185],"near":[188],"precision":[192],"94,25%":[194],"accuracy":[196],"86,99%.":[198],"Contributions":[199],"Impact":[201],"area":[204],"information":[206],"systems:":[207],"contributions":[209],"are":[210],"two-fold:":[211],"From":[212],"organization\u2019s":[214],"perspective,":[215],"interoperability,":[219],"generating":[220],"interoperable":[221],"alerts;":[222],"detect":[226],"behaviors,":[228],"protecting":[229],"people":[230],"environment.":[234],"impacts":[237],"three":[239],"pilars":[240],"from":[241],"IS":[242],"area:":[243],"People,":[244],"Process":[245],"Technology.":[247],"Additionally,":[248],"we":[249],"provide":[250],"dataset":[252],"videos":[256],"lots.":[260]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
