{"id":"https://openalex.org/W2172154002","doi":"https://doi.org/10.1109/icassp.2007.366032","title":"Coarse-to-Fine Event Model for Human Activities","display_name":"Coarse-to-Fine Event Model for Human Activities","publication_year":2007,"publication_date":"2007-04-01","ids":{"openalex":"https://openalex.org/W2172154002","doi":"https://doi.org/10.1109/icassp.2007.366032","mag":"2172154002"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2007.366032","doi":"https://doi.org/10.1109/icassp.2007.366032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2007.366032","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07","raw_type":"proceedings-article"},"volume":null,"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/A5005521128","display_name":"Naresh P. Cuntoor","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naresh P. Cuntoor","raw_affiliation_strings":["Center for Automation Research, University of Maryland College Park, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Automation Research, University of Maryland College Park, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650","observed_orcids":["https://orcid.org/0000-0002-7638-1650"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rama Chellappa","raw_affiliation_strings":["Center for Automation Research, University of Maryland College Park, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Automation Research, University of Maryland College Park, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.25476909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":null,"first_page":"I","last_page":"813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9824000000953674,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9824000000953674,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.014499999582767487,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/human-activity-recognition","display_name":"human activity recognition","score":0.8050000071525574},{"id":"https://openalex.org/keywords/hierarchical-representation","display_name":"hierarchical representation","score":0.5370000004768372},{"id":"https://openalex.org/keywords/hidden-markov-models","display_name":"hidden Markov models","score":0.9200000166893005},{"id":"https://openalex.org/keywords/video-browsing","display_name":"video browsing","score":0.7350000143051147},{"id":"https://openalex.org/keywords/event-detection","display_name":"event detection","score":0.6980000138282776},{"id":"https://openalex.org/keywords/frame-rate-reduction","display_name":"frame rate reduction","score":0.8140000104904175},{"id":"https://openalex.org/keywords/spatial-resolution-reduction","display_name":"spatial resolution reduction","score":0.8500000238418579}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285893559455872},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.7192603945732117},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6532615423202515},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5839936137199402},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5783156156539917},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5741382837295532},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5401654839515686},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5178452134132385},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5078626275062561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49395567178726196},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4833773970603943},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4302915930747986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4105411767959595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35299575328826904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15890628099441528},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2007.366032","doi":"https://doi.org/10.1109/icassp.2007.366032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2007.366032","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W346848795","https://openalex.org/W1482766608","https://openalex.org/W1586414640","https://openalex.org/W1601741105","https://openalex.org/W1932758808","https://openalex.org/W1974259482","https://openalex.org/W2028310195","https://openalex.org/W2036455044","https://openalex.org/W2081519360","https://openalex.org/W2098940422","https://openalex.org/W2100906313","https://openalex.org/W2118877769","https://openalex.org/W2125838338","https://openalex.org/W2125854396","https://openalex.org/W2136031647","https://openalex.org/W2139843960","https://openalex.org/W2165253089","https://openalex.org/W2313953460","https://openalex.org/W2798058877"],"related_works":["https://openalex.org/W2123303369","https://openalex.org/W2156358444","https://openalex.org/W2696706365","https://openalex.org/W2201438969","https://openalex.org/W2589335264","https://openalex.org/W2153480846","https://openalex.org/W2019725986","https://openalex.org/W6927106169","https://openalex.org/W2037779587","https://openalex.org/W2134266767"],"abstract_inverted_index":{"We":[0,53],"analyze":[1],"coarse-to-fine":[2,39],"hierarchical":[3,51],"representation":[4],"of":[5,28,89,99,111,117,124,134],"human":[6,146],"activities":[7,33,94],"in":[8,32,37,41],"video":[9,17],"sequences.":[10],"It":[11,73],"can":[12,34],"be":[13,35,48],"used":[14],"for":[15,60],"efficient":[16],"browsing":[18],"and":[19,57,71,131,149],"activity":[20,78,139],"recognition.":[21,140],"Activities":[22],"are":[23,66,95,113],"modeled":[24],"using":[25,103,142],"a":[26,38,49,128],"sequence":[27,98],"instantaneous":[29],"events.":[30],"Events":[31],"represented":[36,96],"hierarchy":[40],"several":[42],"ways,":[43],"i.e.,":[44],"there":[45],"may":[46],"not":[47],"unique":[50],"structure.":[52],"present":[54],"five":[55],"criteria":[56,65,85],"quantitative":[58],"measures":[59],"evaluating":[61],"their":[62],"effectiveness.":[63],"The":[64],"minimalism,":[67],"stability,":[68],"consistency,":[69],"accessibility":[70],"applicability.":[72],"is":[74],"desirable":[75],"to":[76],"develop":[77],"models":[79],"that":[80],"rank":[81],"highly":[82],"on":[83,121,138],"these":[84],"at":[86,127],"all":[87],"levels":[88],"hierarchy.":[90],"In":[91],"this":[92],"paper,":[93],"as":[97],"event":[100],"probabilities":[101],"computed":[102],"the":[104,115,122,132,143,150],"hidden":[105],"Markov":[106],"model":[107],"framework.":[108],"Two":[109],"aspects":[110],"hierarchies":[112],"analyzed:":[114],"effect":[116,133],"reduced":[118,135],"frame":[119],"rate":[120],"accuracy":[123],"events":[125],"detected":[126],"finer":[129],"scale;":[130],"spatial":[136],"resolution":[137],"Experiments":[141],"UCF":[144],"indoor":[145],"action":[147],"dataset":[148,155],"TSA":[151],"airport":[152],"tarmac":[153],"surveillance":[154],"show":[156],"encouraging":[157],"results.":[158]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}