{"id":"https://openalex.org/W2009730513","doi":"https://doi.org/10.1109/dicta.2014.7008124","title":"Probabilistic Detection of Crowd Events on Riemannian Manifolds","display_name":"Probabilistic Detection of Crowd Events on Riemannian Manifolds","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2009730513","doi":"https://doi.org/10.1109/dicta.2014.7008124","mag":"2009730513"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2014.7008124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2014.7008124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5060446620","display_name":"Aravinda S. Rao","orcid":"https://orcid.org/0000-0003-2319-6539"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Aravinda S. Rao","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Melbourne, VIC, Australia","Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077902462","display_name":"Jayavardhana Gubbi","orcid":"https://orcid.org/0000-0001-5833-1898"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jayavardhana Gubbi","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Melbourne, VIC, Australia","Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024070602","display_name":"Slaven Marusic","orcid":null},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Slaven Marusic","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Melbourne, VIC, Australia","Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080554686","display_name":"Marimuthu Palaniswami","orcid":"https://orcid.org/0000-0002-3635-4252"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Marimuthu Palaniswami","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Melbourne, VIC, Australia","Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060446620"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":0.818,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80109736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"pp","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.825695276260376},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7617287635803223},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7406084537506104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7176588773727417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6377859115600586},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.46422597765922546},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.43017399311065674},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4127961993217468},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4011816084384918},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37838664650917053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3426935374736786}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.825695276260376},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7617287635803223},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7406084537506104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7176588773727417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6377859115600586},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.46422597765922546},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.43017399311065674},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4127961993217468},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4011816084384918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37838664650917053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3426935374736786},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"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/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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2014.7008124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2014.7008124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320974","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1949248870","https://openalex.org/W1963603065","https://openalex.org/W1967320926","https://openalex.org/W1983705368","https://openalex.org/W1991838009","https://openalex.org/W1995903777","https://openalex.org/W2004149082","https://openalex.org/W2021659075","https://openalex.org/W2029477555","https://openalex.org/W2045577785","https://openalex.org/W2047617665","https://openalex.org/W2095640719","https://openalex.org/W2099460093","https://openalex.org/W2102625004","https://openalex.org/W2106996050","https://openalex.org/W2111732112","https://openalex.org/W2113800095","https://openalex.org/W2113856781","https://openalex.org/W2117734404","https://openalex.org/W2119350939","https://openalex.org/W2123557418","https://openalex.org/W2137981002","https://openalex.org/W2148301747","https://openalex.org/W2154346517","https://openalex.org/W2155268664","https://openalex.org/W2155351433","https://openalex.org/W2164261375","https://openalex.org/W2534952216","https://openalex.org/W2782143378","https://openalex.org/W3105670021","https://openalex.org/W4246954948","https://openalex.org/W6662059548","https://openalex.org/W6674837706","https://openalex.org/W6678224304","https://openalex.org/W6786020840"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2012531322","https://openalex.org/W2402761219","https://openalex.org/W2494523064","https://openalex.org/W2943623134","https://openalex.org/W2785900585","https://openalex.org/W2588219639","https://openalex.org/W2353730437","https://openalex.org/W2215759665","https://openalex.org/W2030292806"],"abstract_inverted_index":{"Event":[0],"detection":[1,29,69,94,128,153],"in":[2,16,117,123,133],"crowded":[3],"scenarios":[4],"becomes":[5],"complex":[6],"due":[7],"to":[8],"articulated":[9],"human":[10],"movements,":[11],"occlusions":[12],"and":[13,30,49,63,70,120,141],"complexities":[14],"involved":[15],"tracking":[17],"individual":[18],"humans.":[19],"In":[20],"this":[21],"work,":[22],"we":[23,159],"focus":[24,33],"on":[25,34,74],"crowd":[26,36,151],"event":[27,42,59,65,68,84,93,102,152],"(activity)":[28],"classification.":[31],"We":[32],"active":[35],"(continuously":[37],"moving":[38],"crowd)":[39],"events.":[40],"First,":[41],"primitives":[43],"such":[44],"as":[45],"motion,":[46],"action,":[47],"activity":[48],"behaviour":[50],"are":[51,72],"defined.":[52],"Furthermore,":[53],"a":[54,87,104],"distinction":[55],"is":[56,96],"made":[57],"among":[58],"detection,":[60],"action":[61],"recognition":[62],"abnormal":[64],"detection.":[66],"Further,":[67],"classification":[71],"defined":[73],"Riemannian":[75],"Manifolds":[76],"that":[77,98,110],"yields":[78],"six":[79],"different":[80],"probabilities":[81],"of":[82,139],"the":[83,101,111,127],"occurring.":[85],"Using":[86],"new":[88],"probabilistic":[89],"approach,":[90,157],"an":[91],"automated":[92],"algorithm":[95],"proposed":[97,112],"temporally":[99],"segments":[100],"using":[103],"novel":[105],"framework.":[106],"The":[107,136],"results":[108,122],"indicate":[109],"approach":[113],"delivers":[114],"superior":[115],"performance":[116],"selected":[118],"cases":[119],"similar":[121],"other":[124],"cases,":[125],"whilst":[126],"model":[129],"delay":[130],"allows":[131],"operation":[132],"near":[134],"real-time.":[135],"Performance":[137],"Evaluation":[138],"Tracking":[140],"Surveillance":[142],"(PETS)":[143],"2009":[144],"dataset":[145],"was":[146],"used":[147,155],"for":[148],"evaluation.":[149],"Existing":[150],"approaches":[154],"supervised":[156],"whereas":[158],"eschew":[160],"semi-supervised":[161],"approach.":[162]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}