{"id":"https://openalex.org/W2087319957","doi":"https://doi.org/10.1117/12.2180570","title":"Classification of similar but differently paced activities in the KTH dataset","display_name":"Classification of similar but differently paced activities in the KTH dataset","publication_year":2015,"publication_date":"2015-02-11","ids":{"openalex":"https://openalex.org/W2087319957","doi":"https://doi.org/10.1117/12.2180570","mag":"2087319957"},"language":"en","primary_location":{"id":"doi:10.1117/12.2180570","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2180570","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/A5047439482","display_name":"Shreeya Sengupta","orcid":null},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Shreeya Sengupta","raw_affiliation_strings":["Univ. of Ulster (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. of Ulster (United Kingdom)","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460917","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-2633-6015"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Univ. of Ulster (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. of Ulster (United Kingdom)","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009381746","display_name":"Piyush Ojha","orcid":"https://orcid.org/0000-0001-7659-0383"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Piyush Ojha","raw_affiliation_strings":["Univ. of Ulster (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. of Ulster (United Kingdom)","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019839723","display_name":"William Blackburn","orcid":null},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"William Blackburn","raw_affiliation_strings":["Univ. of Ulster (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. of Ulster (United Kingdom)","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047439482"],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07775284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9445","issue":null,"first_page":"944519","last_page":"944519"},"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":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6936812996864319},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.679917573928833},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.6592811346054077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5996572971343994},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4915798604488373},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4621124863624573},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.43285757303237915},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4288310408592224},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41420426964759827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3893066346645355},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2825077176094055},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06560856103897095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6936812996864319},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.679917573928833},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.6592811346054077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5996572971343994},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4915798604488373},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4621124863624573},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.43285757303237915},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4288310408592224},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41420426964759827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3893066346645355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2825077176094055},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06560856103897095},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2180570","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2180570","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/10","score":0.8199999928474426,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2124386111","https://openalex.org/W2126574503","https://openalex.org/W2128730107","https://openalex.org/W2158169396","https://openalex.org/W2159498231","https://openalex.org/W2161969291","https://openalex.org/W2166294429","https://openalex.org/W2537988662","https://openalex.org/W4249279051","https://openalex.org/W4297270893","https://openalex.org/W6638686129","https://openalex.org/W6658929250","https://openalex.org/W6678135826","https://openalex.org/W6678854542","https://openalex.org/W6679427232","https://openalex.org/W6683317631","https://openalex.org/W6683411478","https://openalex.org/W6684329606","https://openalex.org/W6729006448"],"related_works":["https://openalex.org/W2386723501","https://openalex.org/W2387879414","https://openalex.org/W2390304029","https://openalex.org/W2354923724","https://openalex.org/W4288601434","https://openalex.org/W2377101853","https://openalex.org/W2362180844","https://openalex.org/W2378405797","https://openalex.org/W2913869602","https://openalex.org/W2358694870"],"abstract_inverted_index":{"The":[0],"KTH":[1],"video":[2],"dataset":[3],"[1]":[4],"contains":[5],"three":[6],"activities":[7],"-":[8,13],"walking,":[9],"jogging":[10],"and":[11],"running":[12],"which":[14,35],"are":[15,19],"very":[16],"similar":[17],"but":[18],"carried":[20],"out":[21],"at":[22],"a":[23,33,40,49,52],"different":[24],"natural":[25],"pace.":[26],"We":[27],"show":[28],"that":[29],"explicit":[30],"inclusion":[31],"of":[32,42,46],"feature":[34],"may":[36],"be":[37],"interpreted":[38],"as":[39],"measure":[41],"the":[43],"overall":[44],"state":[45],"motion":[47],"in":[48],"frame":[50],"improves":[51],"classifier's":[53],"ability":[54],"to":[55],"discriminate":[56],"between":[57],"these":[58],"activities.":[59]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}