{"id":"https://openalex.org/W1994708797","doi":"https://doi.org/10.1109/iccvw.2011.6130432","title":"Detection of activities and events without explicit categorization","display_name":"Detection of activities and events without explicit categorization","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W1994708797","doi":"https://doi.org/10.1109/iccvw.2011.6130432","mag":"1994708797"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2011.6130432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","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/A5007265648","display_name":"Masakazu Matsugu","orcid":null},"institutions":[{"id":"https://openalex.org/I1320697193","display_name":"Canon (Japan)","ror":"https://ror.org/05gg0gh87","country_code":"JP","type":"company","lineage":["https://openalex.org/I1320697193"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masakazu Matsugu","raw_affiliation_strings":["Visual Information Technology Development Center, Corporate Research and Development Headquarters, CANON Inc., Japan","CANON Inc. Visual Information Technology Development Center, Corporate R&D Headquarters, Japan"],"affiliations":[{"raw_affiliation_string":"Visual Information Technology Development Center, Corporate Research and Development Headquarters, CANON Inc., Japan","institution_ids":["https://openalex.org/I1320697193"]},{"raw_affiliation_string":"CANON Inc. Visual Information Technology Development Center, Corporate R&D Headquarters, Japan","institution_ids":["https://openalex.org/I1320697193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046626947","display_name":"Masao Yamanaka","orcid":"https://orcid.org/0000-0002-7285-2611"},"institutions":[{"id":"https://openalex.org/I1320697193","display_name":"Canon (Japan)","ror":"https://ror.org/05gg0gh87","country_code":"JP","type":"company","lineage":["https://openalex.org/I1320697193"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masao Yamanaka","raw_affiliation_strings":["Visual Information Technology Development Center, Corporate Research and Development Headquarters, CANON Inc., Japan","CANON Inc. Visual Information Technology Development Center, Corporate R&D Headquarters, Japan"],"affiliations":[{"raw_affiliation_string":"Visual Information Technology Development Center, Corporate Research and Development Headquarters, CANON Inc., Japan","institution_ids":["https://openalex.org/I1320697193"]},{"raw_affiliation_string":"CANON Inc. Visual Information Technology Development Center, Corporate R&D Headquarters, Japan","institution_ids":["https://openalex.org/I1320697193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072744508","display_name":"Masashi Sugiyama","orcid":"https://orcid.org/0000-0001-6658-6743"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Sugiyama","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Japan","Graduate School of Information Science and Engineering, Tokyo Institute of Technology, JAPAN"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Tokyo Institute of Technology, JAPAN","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007265648"],"corresponding_institution_ids":["https://openalex.org/I1320697193"],"apc_list":null,"apc_paid":null,"fwci":1.761,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86526859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1532","last_page":"1539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9983999729156494,"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/categorization","display_name":"Categorization","score":0.7361685633659363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6523798108100891},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6354089379310608},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6022253632545471},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6013352274894714},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.590765118598938},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5309526324272156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5152090191841125},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5063854455947876},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4600526988506317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4282378554344177},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3992556929588318},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24062711000442505},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.234791100025177},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20010635256767273},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14345118403434753}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7361685633659363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6523798108100891},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6354089379310608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6022253632545471},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6013352274894714},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.590765118598938},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5309526324272156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5152090191841125},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5063854455947876},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4600526988506317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4282378554344177},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3992556929588318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24062711000442505},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.234791100025177},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20010635256767273},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14345118403434753},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccvw.2011.6130432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:50163351","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100633479","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1483100644","https://openalex.org/W1990448787","https://openalex.org/W2002585172","https://openalex.org/W2020163092","https://openalex.org/W2025954386","https://openalex.org/W2030298904","https://openalex.org/W2038854792","https://openalex.org/W2050964073","https://openalex.org/W2053765558","https://openalex.org/W2057135226","https://openalex.org/W2089899524","https://openalex.org/W2091319256","https://openalex.org/W2102689555","https://openalex.org/W2104311745","https://openalex.org/W2129193626","https://openalex.org/W2129524746","https://openalex.org/W2132440659","https://openalex.org/W2137043686","https://openalex.org/W2137981002","https://openalex.org/W2140856208","https://openalex.org/W2146776177","https://openalex.org/W2147213281","https://openalex.org/W2158169396","https://openalex.org/W2168951883","https://openalex.org/W2170935389","https://openalex.org/W2293298093","https://openalex.org/W2533739470","https://openalex.org/W3022547535","https://openalex.org/W4238856144","https://openalex.org/W6628962379","https://openalex.org/W6675547039","https://openalex.org/W6679460224","https://openalex.org/W6680437251"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W151699219","https://openalex.org/W2085633464","https://openalex.org/W1966122760"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,46,102,130,137],"problem":[3],"of":[4,7,14,67,87,113,133,141],"unsupervised":[5],"detection":[6,48],"events":[8],"(e.g.,":[9,28],"changes":[10],"or":[11,24],"meaningful":[12],"states":[13],"human":[15],"activities)":[16],"without":[17],"any":[18,95],"similarity":[19],"test":[20],"against":[21],"specific":[22,29,114],"models":[23,83],"probability":[25,35],"density":[26,53,81,104],"estimation":[27,55],"category":[30],"learning).":[31],"Rather":[32],"than":[33],"estimating":[34],"densities,":[36],"very":[37],"difficult":[38],"to":[39],"calculate":[40],"in":[41,57,84,139],"general":[42],"settings,":[43],"we":[44,128],"formulate":[45],"event":[47],"as":[49,75],"binary":[50],"classification":[51],"with":[52,77,125],"ratio":[54,82,105],"[9]":[56],"a":[58,85],"hierarchical":[59],"probabilistic":[60],"framework.":[61],"The":[62],"proposed":[63],"method":[64],"takes":[65],"pairs":[66],"video":[68],"stream":[69],"data":[70],"(i.e.,":[71,122],"past":[72],"and":[73,90,143],"current)":[74],"input":[76],"differing":[78],"time-scales,":[79],"generates":[80],"way":[86],"online":[88],"learning,":[89],"judges":[91],"if":[92],"there":[93],"is":[94],"`meaningful":[96],"difference'":[97],"between":[98],"them":[99],"based":[100],"on":[101,110],"multiple":[103],"estimations.":[106],"Through":[107],"experimental":[108],"studies":[109],"real-world":[111],"scenes":[112],"domains":[115],"using":[116],"challenging":[117],"datasets":[118],"from":[119],"sports":[120],"scene":[121],"tennis":[123],"match)":[124],"complex":[126],"background,":[127],"demonstrate":[129],"potential":[131],"advantage":[132],"our":[134],"approach":[135],"over":[136],"state-of-the-art":[138],"terms":[140],"precision":[142],"efficiency.":[144]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}