{"id":"https://openalex.org/W2990591396","doi":"https://doi.org/10.1109/avss.2019.8909882","title":"Social MIL: Interaction-Aware for Crowd Anomaly Detection","display_name":"Social MIL: Interaction-Aware for Crowd Anomaly Detection","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2990591396","doi":"https://doi.org/10.1109/avss.2019.8909882","mag":"2990591396"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2019.8909882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/A5060039364","display_name":"Shuheng Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuheng Lin","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101850449","display_name":"Hua Yang","orcid":"https://orcid.org/0000-0002-0417-234X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Yang","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103247717","display_name":"Xianchao Tang","orcid":"https://orcid.org/0000-0002-9669-8831"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianchao Tang","raw_affiliation_strings":["National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data (PSRPC), China Academy of Electronics and Information Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data (PSRPC), China Academy of Electronics and Information Technology, Beijing, China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057025418","display_name":"Tianqi Shi","orcid":"https://orcid.org/0000-0003-4815-4175"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqi Shi","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100443704","display_name":"Lin Chen","orcid":"https://orcid.org/0000-0002-0907-3236"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Chen","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060039364"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.468,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.91862131,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.816271960735321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7844662666320801},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6619975566864014},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6542391777038574},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6047732830047607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5813536643981934},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5756245851516724},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5240157842636108},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49575576186180115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4379720985889435},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43352025747299194},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4134581983089447},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08105367422103882}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.816271960735321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7844662666320801},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6619975566864014},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6542391777038574},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6047732830047607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5813536643981934},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5756245851516724},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5240157842636108},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49575576186180115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4379720985889435},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43352025747299194},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4134581983089447},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08105367422103882},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2019.8909882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1522734439","https://openalex.org/W1967456674","https://openalex.org/W2012931101","https://openalex.org/W2014208121","https://openalex.org/W2040321327","https://openalex.org/W2128272608","https://openalex.org/W2130349088","https://openalex.org/W2163612318","https://openalex.org/W2164489414","https://openalex.org/W2337453828","https://openalex.org/W2341058432","https://openalex.org/W2619947201","https://openalex.org/W2737725206","https://openalex.org/W2766042539","https://openalex.org/W2777342313","https://openalex.org/W2921906393","https://openalex.org/W2955058313","https://openalex.org/W2963495494","https://openalex.org/W2963610939","https://openalex.org/W2963795951"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Crowd":[0],"anomaly":[1,129],"detection":[2,130],"under":[3],"surveillance":[4],"scene":[5],"is":[6,57,75],"a":[7,31,37,95],"quite":[8],"challenging":[9],"task,":[10],"which":[11,93],"often":[12],"companies":[13],"with":[14,36,132],"not":[15],"rare":[16,64],"objects,":[17],"unexpected":[18],"bursts":[19],"in":[20],"activity":[21],"and":[22,47,68,140],"complex":[23],"dynamic":[24,42],"patterns.":[25],"In":[26,86],"this":[27],"paper,":[28],"we":[29,88],"propose":[30],"social":[32,72,125],"multiple-instance":[33,126],"learning(MIL)":[34],"framework":[35,131],"dual-branch":[38,124,134],"network":[39,103,135],"by":[40],"considering":[41],"interaction":[43,80],"among":[44],"groups,":[45],"individuals":[46],"environment":[48],"to":[49,59,81],"obtain":[50],"attentive":[51],"spatial-temporal":[52,98],"feature":[53,99],"representation.":[54],"First,":[55],"MIL":[56],"employed":[58],"overcome":[60],"the":[61,83,90,109,114,122,133,142],"challenge":[62],"of":[63,113],"training":[65],"abnormal":[66],"samples":[67],"video-based":[69],"labels.":[70],"The":[71,111],"force":[73],"map":[74],"utilized":[76],"for":[77],"modeling":[78],"behavior":[79],"supply":[82],"prior":[84],"knowledge.":[85],"addition,":[87],"introduce":[89],"self-attention":[91],"module,":[92],"represents":[94],"more":[96],"discriminative":[97],"based":[100],"on":[101,117],"C3D":[102],"through":[104],"implementing":[105],"weight":[106],"redistribution":[107],"inside":[108],"feature.":[110],"results":[112],"experiments":[115],"conducted":[116],"UCF-Crime":[118],"dataset":[119],"show":[120],"that":[121],"proposed":[123],"learning":[127],"(MIL)":[128],"outperforms":[136],"than":[137],"existing":[138],"approaches":[139],"obtains":[141],"state-of-the-art":[143],"performance.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}