{"id":"https://openalex.org/W2291099067","doi":"https://doi.org/10.1109/apsipa.2015.7415471","title":"Sparse representation of adaptive key frame features for human action classification","display_name":"Sparse representation of adaptive key frame features for human action classification","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2291099067","doi":"https://doi.org/10.1109/apsipa.2015.7415471","mag":"2291099067"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2015.7415471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2015.7415471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5083610532","display_name":"Kanokphan Lertniphonphan","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kanokphan Lertniphonphan","raw_affiliation_strings":["Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069698375","display_name":"Supavadee Aramvith","orcid":"https://orcid.org/0000-0001-9840-3171"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Supavadee Aramvith","raw_affiliation_strings":["Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007614076","display_name":"Thanarat H. Chalidabhongse","orcid":"https://orcid.org/0000-0002-7249-6135"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Thanarat H. Chalidabhongse","raw_affiliation_strings":["Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1236","last_page":"1240"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7116532325744629},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.7053773403167725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6875767111778259},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6841890215873718},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6609898209571838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6294100880622864},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.5953115224838257},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5922700762748718},{"id":"https://openalex.org/keywords/key-frame","display_name":"Key frame","score":0.549460232257843},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.5298200249671936},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4995121955871582},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4718087911605835},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.45705553889274597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4513865113258362},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4418971538543701},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26025980710983276}],"concepts":[{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7116532325744629},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7053773403167725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6875767111778259},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6841890215873718},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6609898209571838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6294100880622864},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.5953115224838257},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5922700762748718},{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.549460232257843},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.5298200249671936},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4995121955871582},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4718087911605835},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.45705553889274597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4513865113258362},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4418971538543701},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26025980710983276},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"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/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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2015.7415471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2015.7415471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1977814411","https://openalex.org/W1983705368","https://openalex.org/W2002573231","https://openalex.org/W2008732654","https://openalex.org/W2010399676","https://openalex.org/W2010996442","https://openalex.org/W2022329870","https://openalex.org/W2025508903","https://openalex.org/W2072937229","https://openalex.org/W2073578547","https://openalex.org/W2079169833","https://openalex.org/W2086693793","https://openalex.org/W2103822353","https://openalex.org/W2105257928","https://openalex.org/W2106503382","https://openalex.org/W2106918732","https://openalex.org/W2106996050","https://openalex.org/W2128730107","https://openalex.org/W2136853139","https://openalex.org/W2143023146","https://openalex.org/W2165095705","https://openalex.org/W2533739470","https://openalex.org/W3141200356","https://openalex.org/W4206310440","https://openalex.org/W6651069049","https://openalex.org/W7014874228"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2356521405","https://openalex.org/W2038534795","https://openalex.org/W2384358604","https://openalex.org/W1567829292","https://openalex.org/W3001063351","https://openalex.org/W3196905815","https://openalex.org/W2351370765","https://openalex.org/W3133811809","https://openalex.org/W2321594810"],"abstract_inverted_index":{"Human":[0],"action":[1],"movement":[2,15,53,67],"has":[3],"constrained":[4],"by":[5,35],"the":[6,12,30,37,47,58,62,76],"articulated":[7],"body":[8],"which":[9,43,54],"leads":[10],"to":[11,28],"variation":[13,38],"of":[14,33,39,51,65],"velocity":[16],"from":[17],"point-to-point.":[18],"In":[19],"this":[20],"paper,":[21],"adaptive":[22,80],"key":[23,81],"frame":[24,82],"intervals":[25],"are":[26,44,68],"used":[27],"specify":[29],"proper":[31],"number":[32],"frames":[34],"detecting":[36],"human":[40],"motion.":[41],"Features":[42],"extracted":[45],"within":[46,79],"interval":[48,83],"contain":[49],"information":[50],"primitive":[52,66],"is":[55],"similar":[56],"among":[57],"same":[59],"action.":[60],"Then,":[61],"sparse":[63,77],"representations":[64],"trained.":[69],"The":[70],"results":[71],"on":[72],"WEIZMANN":[73],"demonstrate":[74],"that":[75],"representation":[78],"can":[84],"effectively":[85],"classifies":[86],"actions.":[87]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
