{"id":"https://openalex.org/W4402916601","doi":"https://doi.org/10.1109/icip51287.2024.10647770","title":"Graphic - Graph-Based Representation for Analyzing People\u2019s High-Level Interactions in Crowds","display_name":"Graphic - Graph-Based Representation for Analyzing People\u2019s High-Level Interactions in Crowds","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402916601","doi":"https://doi.org/10.1109/icip51287.2024.10647770"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647770","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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/A5099269064","display_name":"Francesco Longobardi","orcid":"https://orcid.org/0009-0000-0046-505X"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Longobardi","raw_affiliation_strings":["University of Naples Federico II via Claudio 21,Naples,Italy,80125"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Naples Federico II via Claudio 21,Naples,Italy,80125","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026226784","display_name":"Daniel Riccio","orcid":"https://orcid.org/0000-0002-5844-0602"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniel Riccio","raw_affiliation_strings":["University of Naples Federico II via Claudio 21,Naples,Italy,80125"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Naples Federico II via Claudio 21,Naples,Italy,80125","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"868","last_page":"874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.8986999988555908,"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/T10799","display_name":"Data Visualization and Analytics","score":0.8986999988555908,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.807200014591217,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.7653999924659729,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.8885952830314636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7712064981460571},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5844298601150513},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5613094568252563},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.411678284406662},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32059383392333984},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11261504888534546}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.8885952830314636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7712064981460571},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5844298601150513},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5613094568252563},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.411678284406662},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32059383392333984},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11261504888534546},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647770","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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":18,"referenced_works":["https://openalex.org/W2042015300","https://openalex.org/W2045812961","https://openalex.org/W2068627809","https://openalex.org/W2140196014","https://openalex.org/W2739621194","https://openalex.org/W2942468468","https://openalex.org/W2980745957","https://openalex.org/W2997779122","https://openalex.org/W3135235283","https://openalex.org/W3215243207","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6685304112","https://openalex.org/W6732424948","https://openalex.org/W6765624886","https://openalex.org/W6775947557","https://openalex.org/W6782909102","https://openalex.org/W6795320789"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4240200267","https://openalex.org/W1511510665","https://openalex.org/W1524661185","https://openalex.org/W2078823605","https://openalex.org/W2500095415","https://openalex.org/W2097922264","https://openalex.org/W2282342021","https://openalex.org/W4233026749","https://openalex.org/W4248106174"],"abstract_inverted_index":{"The":[0],"need":[1],"for":[2,80],"automated":[3],"systems":[4],"to":[5,37],"aid":[6],"law":[7],"enforcement":[8],"during":[9],"densely":[10],"packed":[11],"events":[12],"arises":[13],"from":[14,32],"the":[15],"inherent":[16],"danger":[17],"of":[18,25,96,103],"large":[19],"crowds,":[20],"evidenced":[21],"by":[22,83],"historical":[23],"instances":[24],"stampedes":[26],"and":[27,98],"crushes.":[28],"Existing":[29],"methods":[30],"vary":[31],"basic":[33],"crowd":[34,55,71,105,123],"statistics":[35],"extraction":[36],"detailed":[38],"anomaly":[39],"detection":[40],"in":[41,57,107,120],"behavior":[42],"classification,":[43],"but":[44],"often":[45],"focus":[46],"on":[47,111],"single,":[48],"pre-segmented":[49],"scenes.":[50,109],"Our":[51],"work":[52],"addresses":[53],"classifying":[54],"behaviors":[56,61,106],"environments":[58],"where":[59],"multiple":[60],"coexist":[62],"within":[63],"a":[64,69,77,112],"single":[65],"scene,":[66],"defined":[67],"as":[68],"multi-class":[70],"motion":[72],"characterization":[73],"challenge.":[74],"We":[75],"use":[76],"microscopic":[78],"approach":[79,92],"scenes":[81],"captured":[82],"drones":[84],"at":[85],"varying":[86],"altitudes,":[87],"without":[88],"prior":[89],"manipulation.":[90],"This":[91],"combines":[93],"graph-based":[94],"representations":[95],"individuals":[97],"flow":[99],"images,":[100],"facilitating":[101],"classification":[102],"diverse":[104],"unsegmented":[108],"Tested":[110],"public":[113],"dataset,":[114],"our":[115],"method":[116],"shows":[117],"promising":[118],"results":[119],"analyzing":[121],"complex":[122],"dynamics.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}