{"id":"https://openalex.org/W2542425457","doi":"https://doi.org/10.1109/acpr.2011.6166583","title":"Spatio-temporal context kernel for activity recognition","display_name":"Spatio-temporal context kernel for activity recognition","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2542425457","doi":"https://doi.org/10.1109/acpr.2011.6166583","mag":"2542425457"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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/A5103037390","display_name":"Fei Yuan","orcid":"https://orcid.org/0000-0001-5362-2418"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Yuan","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, P.R.CNational Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, P.R.CNational Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029896607","display_name":"Hichem Sahbi","orcid":"https://orcid.org/0000-0001-6813-9146"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hichem Sahbi","raw_affiliation_strings":["LTCI, CNRS, TELECOM ParisTech, Paris, France"],"affiliations":[{"raw_affiliation_string":"LTCI, CNRS, TELECOM ParisTech, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I4210165912","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063574586","display_name":"V. Prinet","orcid":"https://orcid.org/0000-0002-7900-9782"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Veronique Prinet","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, P.R.CNational Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, P.R.CNational Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103037390"],"corresponding_institution_ids":["https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.33948472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"436","last_page":"440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9959999918937683,"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":0.7364255785942078},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6343367099761963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6301323175430298},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5693845748901367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5220289826393127},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45545119047164917},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4469444453716278},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4416433870792389},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.41248464584350586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.350420743227005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14839589595794678},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09607121348381042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364255785942078},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6343367099761963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6301323175430298},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5693845748901367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5220289826393127},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45545119047164917},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4469444453716278},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4416433870792389},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.41248464584350586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.350420743227005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14839589595794678},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09607121348381042},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2011.6166583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4699999988079071,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W10916678","https://openalex.org/W1534763723","https://openalex.org/W2003543060","https://openalex.org/W2018977674","https://openalex.org/W2020163092","https://openalex.org/W2034328688","https://openalex.org/W2046589395","https://openalex.org/W2111073379","https://openalex.org/W2119799051","https://openalex.org/W2125375224","https://openalex.org/W2126574503","https://openalex.org/W2129139862","https://openalex.org/W2136917337","https://openalex.org/W2142194269","https://openalex.org/W2166294429","https://openalex.org/W2533503513","https://openalex.org/W2533739470","https://openalex.org/W4249279051","https://openalex.org/W6632082525","https://openalex.org/W6678559671"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W3147584709","https://openalex.org/W2582753012","https://openalex.org/W2795079307","https://openalex.org/W4300101497","https://openalex.org/W2977677679","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W1992327129","https://openalex.org/W4292523377"],"abstract_inverted_index":{"Local":[0],"space-time":[1],"features":[2,34,68,93],"and":[3,35,99,109],"bag-of-feature":[4],"(BOF)":[5],"representation":[6],"are":[7],"often":[8],"used":[9],"for":[10,115],"action":[11],"recognition":[12,137],"in":[13],"previous":[14],"approaches.":[15],"For":[16],"complicated":[17],"human":[18],"activities,":[19],"however,":[20],"the":[21,30,36,43,47,61,70,89,131,136],"limitation":[22],"of":[23,29,33,38,66,92],"these":[24],"approaches":[25],"blows":[26],"up":[27],"because":[28],"local":[31,67,90],"properties":[32,91],"lack":[37],"context.":[39],"This":[40],"paper":[41],"addresses":[42],"problem":[44],"by":[45],"exploiting":[46],"spatio-temporal":[48,57,64,71,79,132],"context":[49,80,101,133],"information":[50],"between":[51,73],"features.":[52],"We":[53],"first":[54],"define":[55],"a":[56,78,105],"context,":[58],"which":[59,83],"combines":[60],"scale":[62],"invariant":[63],"neighberhood":[65],"with":[69],"relationships":[72],"them.":[74],"Then,":[75],"we":[76],"introduce":[77],"kernel":[81,134],"(STCK),":[82],"not":[84],"only":[85],"takes":[86],"into":[87,113],"account":[88],"but":[94],"also":[95],"considers":[96],"their":[97],"spatial":[98],"temporal":[100],"information.":[102],"STCK":[103],"has":[104],"promising":[106],"generalization":[107],"property":[108],"can":[110],"be":[111],"plugged":[112],"SVMs":[114],"activities":[116],"recognition.":[117],"The":[118],"experimental":[119],"results":[120],"on":[121],"challenging":[122],"activity":[123],"datasets":[124],"show":[125],"that,":[126],"compared":[127],"to":[128],"context-free":[129],"model,":[130],"improves":[135],"performance.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
