{"id":"https://openalex.org/W1980233407","doi":"https://doi.org/10.1117/12.2030544","title":"Human action recognition using integrated model","display_name":"Human action recognition using integrated model","publication_year":2013,"publication_date":"2013-07-19","ids":{"openalex":"https://openalex.org/W1980233407","doi":"https://doi.org/10.1117/12.2030544","mag":"1980233407"},"language":"en","primary_location":{"id":"doi:10.1117/12.2030544","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030544","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5010570582","display_name":"Yang Yi","orcid":"https://orcid.org/0000-0002-9989-6657"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Yi","raw_affiliation_strings":["Sun Yat-sen Univ. (China)","Sun Yat Sen University, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen Univ. (China)","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sun Yat Sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030240136","display_name":"Yikun Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikun Lin","raw_affiliation_strings":["Sun Yat-sen Univ. (China)","Sun Yat Sen University, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen Univ. (China)","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sun Yat Sen University, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010570582"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05850323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8878","issue":null,"first_page":"88782H","last_page":"88782H"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9936000108718872,"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":0.9936000108718872,"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":0.9054999947547913,"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/codebook","display_name":"Codebook","score":0.8749624490737915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8565938472747803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6253185868263245},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5935890078544617},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.516584038734436},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.500279426574707},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4335113763809204},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.428619921207428},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4151782989501953},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.36312955617904663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3257637023925781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08800721168518066}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.8749624490737915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8565938472747803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6253185868263245},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5935890078544617},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.516584038734436},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.500279426574707},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4335113763809204},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.428619921207428},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4151782989501953},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.36312955617904663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3257637023925781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08800721168518066},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2030544","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030544","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2293149949","https://openalex.org/W2026099691","https://openalex.org/W4284672201","https://openalex.org/W2377486419","https://openalex.org/W2943202426","https://openalex.org/W2950156284","https://openalex.org/W2736714427","https://openalex.org/W2163679795","https://openalex.org/W2137816434","https://openalex.org/W2017956276"],"abstract_inverted_index":{"A":[0,40],"novel":[1],"action":[2,103],"recognition":[3],"framework":[4],"based":[5],"on":[6],"integrated":[7,68,107],"model":[8,42,51,55,69,108],"is":[9,18,32,70],"proposed":[10],"in":[11,62],"the":[12,15,37,44,53,74,77],"paper.":[13],"First,":[14],"covariance":[16,105],"descriptor":[17],"utilized":[19],"to":[20,36,58,72],"extract":[21],"features":[22],"from":[23],"video":[24],"sequences,":[25],"and":[26,34,48,79,82],"then":[27],"each":[28],"class":[29],"specific":[30],"codebook":[31],"constructed":[33],"appended":[35],"global":[38],"codebook.":[39],"static":[41,78],"applying":[43],"template":[45],"matching":[46],"technique":[47],"a":[49,84],"dynamic":[50,80],"employing":[52],"trigram":[54],"are":[56],"learned":[57],"capture":[59],"complementary":[60],"information":[61],"an":[63,67],"action.":[64],"And":[65],"lastly,":[66],"used":[71],"estimate":[73],"confidence":[75],"of":[76],"models":[81],"produces":[83],"reliable":[85],"result.":[86],"Comparative":[87],"experiments":[88],"show":[89],"that":[90],"our":[91],"presented":[92],"method":[93],"achieves":[94],"superior":[95],"results":[96],"over":[97],"other":[98],"state-of-the-art":[99],"approaches.":[100],"Keywords:":[101],"human":[102],"recognition,":[104],"descriptor,":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
