{"id":"https://openalex.org/W2075285529","doi":"https://doi.org/10.1109/iccvw.2011.6130422","title":"Inferring social roles in long timespan video sequence","display_name":"Inferring social roles in long timespan video sequence","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2075285529","doi":"https://doi.org/10.1109/iccvw.2011.6130422","mag":"2075285529"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2011.6130422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130422","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/A5058393252","display_name":"Jiangen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiangen Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","School of Computer Science and Technology, Beijing Institute of Technology, China, 100081"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China, 100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101505071","display_name":"Wenze Hu","orcid":"https://orcid.org/0000-0001-5516-7092"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenze Hu","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA","Department of Statistics University of California, Los Angeles, 90095, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Department of Statistics University of California, Los Angeles, 90095, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112692433","display_name":"Benjamin Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Yao","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA","Department of Statistics University of California, Los Angeles, 90095, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Department of Statistics University of California, Los Angeles, 90095, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026250850","display_name":"Yongtian Wang","orcid":"https://orcid.org/0000-0001-9422-0888"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtian Wang","raw_affiliation_strings":["School of Optics and Electronics, Beijing Institute of Technology, Beijing, China","School of Computer Science and Technology, Beijing Institute of Technology, China, 100081"],"affiliations":[{"raw_affiliation_string":"School of Optics and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China, 100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034228010","display_name":"Song\u2010Chun Zhu","orcid":"https://orcid.org/0009-0008-0876-8117"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Song-Chun Zhu","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA","Department of Statistics University of California, Los Angeles, 90095, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Department of Statistics University of California, Los Angeles, 90095, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058393252"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.2576,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.58284354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1456","last_page":"1463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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"}},"topics":[{"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":0.9986000061035156,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9860000014305115,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6917068362236023},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.533497154712677},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.10434979200363159},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09206211566925049}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917068362236023},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.533497154712677},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.10434979200363159},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09206211566925049}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccvw.2011.6130422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130422","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:CiteSeerX.psu:10.1.1.230.8721","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.8721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.ucla.edu/%7Esczhu/papers/Conf_2011/Social_role_workshop2011.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1484918855","https://openalex.org/W1646038686","https://openalex.org/W1955233831","https://openalex.org/W2020343399","https://openalex.org/W2045792079","https://openalex.org/W2081626486","https://openalex.org/W2099972257","https://openalex.org/W2100573769","https://openalex.org/W2119713076","https://openalex.org/W2128107557","https://openalex.org/W2131519311","https://openalex.org/W2134495021","https://openalex.org/W2134906087","https://openalex.org/W2147377836","https://openalex.org/W2152239535","https://openalex.org/W2154055561","https://openalex.org/W2949296763","https://openalex.org/W3021035068","https://openalex.org/W4205969993","https://openalex.org/W4285719527","https://openalex.org/W6629075462","https://openalex.org/W6640956183","https://openalex.org/W6679928655","https://openalex.org/W6681931261"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,71],"present":[4],"a":[5,39,69,73,151,157,164],"method":[6,43,188],"for":[7],"inferring":[8],"social":[9,102,172],"roles":[10,135,173],"of":[11,48,75,89,132,136,163,193],"agents":[12,49,137],"(persons)":[13],"from":[14,156],"their":[15],"daily":[16],"activities":[17,25],"in":[18,55,68,79,160],"long":[19],"surveillance":[20,40,158],"video":[21,155,168],"sequences.":[22],"We":[23],"define":[24,72],"as":[26],"interactions":[27],"between":[28,62],"an":[29,63,93,112],"agent's":[30,64],"position":[31],"and":[32,66,83,87,126,181],"semantic":[33,53],"hotspots":[34,54,67],"within":[35],"the":[36,46,56,105,121,134,142,161,191],"scene.":[37,57],"Given":[38],"video,":[41],"our":[42,186],"first":[44],"tracks":[45],"locations":[47,61],"then":[50],"automatically":[51],"discovers":[52],"By":[58],"enumerating":[59],"spatial/temporal":[60],"feet":[65],"scene,":[70],"set":[74],"atomic":[76,127],"actions,":[77],"which":[78],"turn":[80],"compose":[81],"sub-events":[82,125],"events.":[84],"The":[85,167],"numbers":[86],"types":[88],"events":[90],"performed":[91],"by":[92,100,109],"agent":[94,195],"are":[95,147],"assumed":[96],"to":[97,119],"be":[98,139],"driven":[99],"his/her":[101],"role.":[103],"With":[104,129],"grammar":[106],"model":[107],"induced":[108],"composition":[110],"rules,":[111],"adapted":[113],"Earley":[114],"parser":[115],"algorithm":[116],"is":[117],"used":[118],"parse":[120],"trajectories":[122],"into":[123],"events,":[124,133],"actions.":[128],"probabilistic":[130],"output":[131],"can":[138,189],"predicted":[140],"under":[141],"Bayesian":[143],"inference":[144],"framework.":[145],"Experiments":[146],"carried":[148],"out":[149],"on":[150],"challenging":[152],"8.5":[153],"hours":[154],"camera":[159],"lobby":[162],"research":[165],"lab.":[166],"contains":[169],"7":[170],"different":[171],"including":[174],"\u201cmanager\u201d,":[175],"\u201cresearcher\u201d,":[176],"\u201cdeveloper\u201d,":[177],"\u201cengineer\u201d,":[178],"\u201cstaff\u201d,":[179],"\u201cvisitor\u201d":[180],"\u201cmailman\u201d.":[182],"Results":[183],"show":[184],"that":[185],"proposed":[187],"predict":[190],"role":[192],"each":[194],"with":[196],"high":[197],"precision.":[198]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
