{"id":"https://openalex.org/W2555917785","doi":"https://doi.org/10.1109/avss.2016.7738072","title":"Detecting threat behaviours","display_name":"Detecting threat behaviours","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2555917785","doi":"https://doi.org/10.1109/avss.2016.7738072","mag":"2555917785"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2016.7738072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2016.7738072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th 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/A5055427497","display_name":"Luis Patino","orcid":"https://orcid.org/0000-0002-6716-0629"},"institutions":[{"id":"https://openalex.org/I71052956","display_name":"University of Reading","ror":"https://ror.org/05v62cm79","country_code":"GB","type":"education","lineage":["https://openalex.org/I71052956"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Luis Patino","raw_affiliation_strings":["University of Reading, Computational Vision Group, Whiteknights, RG6 6AY, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Reading, Computational Vision Group, Whiteknights, RG6 6AY, United Kingdom","institution_ids":["https://openalex.org/I71052956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039804037","display_name":"James Ferryman","orcid":"https://orcid.org/0000-0003-2194-4871"},"institutions":[{"id":"https://openalex.org/I71052956","display_name":"University of Reading","ror":"https://ror.org/05v62cm79","country_code":"GB","type":"education","lineage":["https://openalex.org/I71052956"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James Ferryman","raw_affiliation_strings":["University of Reading, Computational Vision Group, Whiteknights, RG6 6AY, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Reading, Computational Vision Group, Whiteknights, RG6 6AY, United Kingdom","institution_ids":["https://openalex.org/I71052956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055427497"],"corresponding_institution_ids":["https://openalex.org/I71052956"],"apc_list":null,"apc_paid":null,"fwci":0.4434,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80406453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"88","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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":0.7845973968505859},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6018856167793274},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5901392698287964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5152369141578674},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5087500214576721},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.47767433524131775},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4451000988483429},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.44496795535087585},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33206310868263245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32614463567733765},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3240780830383301}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7845973968505859},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6018856167793274},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5901392698287964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5152369141578674},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5087500214576721},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.47767433524131775},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4451000988483429},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.44496795535087585},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33206310868263245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32614463567733765},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3240780830383301},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/avss.2016.7738072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2016.7738072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:centaur.reading.ac.uk:68983","is_oa":false,"landing_page_url":"http://centaur.reading.ac.uk/68983/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402273","display_name":"CentAUR (University of Reading)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71052956","host_organization_name":"University of Reading","host_organization_lineage":["https://openalex.org/I71052956"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6600000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1504911608","https://openalex.org/W1544277926","https://openalex.org/W1893009044","https://openalex.org/W1901921339","https://openalex.org/W1993852311","https://openalex.org/W1999167988","https://openalex.org/W2006520806","https://openalex.org/W2016127016","https://openalex.org/W2055767715","https://openalex.org/W2072679335","https://openalex.org/W2104739437","https://openalex.org/W2115226893","https://openalex.org/W2117811484","https://openalex.org/W2118498559","https://openalex.org/W2132984323","https://openalex.org/W2137914364","https://openalex.org/W2151921620","https://openalex.org/W2152813046","https://openalex.org/W2167613050","https://openalex.org/W2476588267","https://openalex.org/W2507048748","https://openalex.org/W2536397232","https://openalex.org/W2800394774","https://openalex.org/W2913066018"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W2084086966","https://openalex.org/W2017526120","https://openalex.org/W2610664080","https://openalex.org/W2188304107","https://openalex.org/W2761510556","https://openalex.org/W2892259437","https://openalex.org/W2944566775","https://openalex.org/W2131801795"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,30,45,60,68,79,116],"complex":[4],"problem":[5],"of":[6,29,44,59,72,99,115],"recognising":[7],"threat":[8],"situations":[9],"from":[10],"videos":[11],"streamed":[12],"by":[13,42],"surveillance":[14],"cameras.":[15],"A":[16],"behaviour":[17,65],"recognition":[18,28],"approach":[19,83],"is":[20,23,35],"proposed,":[21],"which":[22],"based":[24],"on":[25,87],"a":[26],"semantic":[27,39,80],"event.":[31],"Low-level":[32],"tracking":[33],"information":[34],"transformed":[36],"into":[37],"high-level":[38],"descriptions":[40],"mainly":[41],"analysis":[43],"tracked":[46],"object":[47],"speed":[48],"and":[49,76,93],"direction.":[50],"Semantic":[51],"terms":[52],"combined":[53],"with":[54],"automatically":[55],"learned":[56],"activity":[57],"zones":[58],"observed":[61],"scene":[62],"allow":[63],"delivering":[64],"events":[66],"indicating":[67],"mobile":[69],"activity.":[70],"Behaviours":[71],"interest":[73],"are":[74],"modelled":[75],"recognised":[77],"in":[78],"domain.":[81],"The":[82],"has":[84],"been":[85,108],"applied":[86],"different":[88],"public":[89],"datasets,":[90],"namely":[91],"CAVIAR":[92],"ARENA.":[94],"Both":[95],"datasets":[96],"contain":[97],"instances":[98],"people":[100],"attacked":[101],"(with":[102],"physical":[103],"aggression).":[104],"Successful":[105],"results":[106],"have":[107],"obtained":[109],"when":[110],"compared":[111],"to":[112],"other":[113],"state":[114],"art":[117],"algorithms.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
