{"id":"https://openalex.org/W98312409","doi":"https://doi.org/10.1007/978-3-540-70517-8_6","title":"Applying Space State Models in Human Action Recognition: A Comparative Study","display_name":"Applying Space State Models in Human Action Recognition: A Comparative Study","publication_year":2008,"publication_date":"2008-08-12","ids":{"openalex":"https://openalex.org/W98312409","doi":"https://doi.org/10.1007/978-3-540-70517-8_6","mag":"98312409"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-70517-8_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-70517-8_6","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5047084609","display_name":"M. \u00c1ngeles Mendoza","orcid":"https://orcid.org/0000-0003-3800-8668"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"M. \u00c1ngeles Mendoza","raw_affiliation_strings":["ETSI Inform\u00e1tica y e Telecomunicaci\u00f3n, University of Granada, 18071, Granada, Spain","ETSI Inform\u00e1tica y e Telecomunicaci\u00f3n, University of Granada, Granada, Spain 18071#TAB#"],"affiliations":[{"raw_affiliation_string":"ETSI Inform\u00e1tica y e Telecomunicaci\u00f3n, University of Granada, 18071, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"ETSI Inform\u00e1tica y e Telecomunicaci\u00f3n, University of Granada, Granada, Spain 18071#TAB#","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112635014","display_name":"Nicol\u00e1s P\u00e9rez de la Blanca","orcid":null},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nicol\u00e1s P\u00e9rez de la Blanca","raw_affiliation_strings":["ETSI Inform\u00e1tica y e Telecomunicaci\u00f3n, University of Granada, 18071, Granada, Spain","ETSI Inform\u00e1tica y e Telecomunicaci\u00f3n, University of Granada, Granada, Spain 18071#TAB#"],"affiliations":[{"raw_affiliation_string":"ETSI Inform\u00e1tica y e Telecomunicaci\u00f3n, University of Granada, 18071, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"ETSI Inform\u00e1tica y e Telecomunicaci\u00f3n, University of Granada, Granada, Spain 18071#TAB#","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047084609"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.3569,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89353696,"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":"53","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9976999759674072,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/discriminative-model","display_name":"Discriminative model","score":0.840717077255249},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.8251700401306152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8094000220298767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6939452886581421},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.6932600736618042},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6659678816795349},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5837669968605042},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5760354995727539},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5661756992340088},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5609825253486633},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.5507930517196655},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.46534430980682373},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4137609601020813},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15890464186668396}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.840717077255249},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8251700401306152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8094000220298767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6939452886581421},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.6932600736618042},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6659678816795349},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5837669968605042},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5760354995727539},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5661756992340088},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5609825253486633},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.5507930517196655},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.46534430980682373},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4137609601020813},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15890464186668396},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-70517-8_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-70517-8_6","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1483460624","https://openalex.org/W1516406185","https://openalex.org/W1528056001","https://openalex.org/W1585529040","https://openalex.org/W1588452126","https://openalex.org/W1623180998","https://openalex.org/W1766290689","https://openalex.org/W1910567995","https://openalex.org/W2034328688","https://openalex.org/W2035421173","https://openalex.org/W2036502167","https://openalex.org/W2097501508","https://openalex.org/W2101534792","https://openalex.org/W2108308566","https://openalex.org/W2117497855","https://openalex.org/W2118384078","https://openalex.org/W2118836531","https://openalex.org/W2118877769","https://openalex.org/W2125838338","https://openalex.org/W2130965616","https://openalex.org/W2138105460","https://openalex.org/W2145835757","https://openalex.org/W2146634731","https://openalex.org/W2147880316","https://openalex.org/W2152239535","https://openalex.org/W2161108669","https://openalex.org/W2979006918","https://openalex.org/W3141200356","https://openalex.org/W4249279051","https://openalex.org/W6735469392"],"related_works":["https://openalex.org/W2055466819","https://openalex.org/W50079190","https://openalex.org/W2356597680","https://openalex.org/W182104056","https://openalex.org/W2111726165","https://openalex.org/W2011251309","https://openalex.org/W2796133761","https://openalex.org/W3088215229","https://openalex.org/W2511246383","https://openalex.org/W2184553228"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
