{"id":"https://openalex.org/W2409019365","doi":"https://doi.org/10.1109/acpr.2015.7486487","title":"Spatiotemporal auto-correlation of grayscale gradient with importance map for cooking gesture recognition","display_name":"Spatiotemporal auto-correlation of grayscale gradient with importance map for cooking gesture recognition","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2409019365","doi":"https://doi.org/10.1109/acpr.2015.7486487","mag":"2409019365"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2015.7486487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","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/A5090113574","display_name":"Wataru Ohyama","orcid":"https://orcid.org/0000-0002-3661-0615"},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]},{"id":"https://openalex.org/I2799546942","display_name":"Tsu City College","ror":"https://ror.org/01gjxh181","country_code":"JP","type":"education","lineage":["https://openalex.org/I2799546942"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Wataru Ohyama","raw_affiliation_strings":["Mie University, Tsu-shi, Mie, Japan"],"affiliations":[{"raw_affiliation_string":"Mie University, Tsu-shi, Mie, Japan","institution_ids":["https://openalex.org/I2799546942","https://openalex.org/I178574317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057545492","display_name":"Soichiro Hotta","orcid":null},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]},{"id":"https://openalex.org/I2799546942","display_name":"Tsu City College","ror":"https://ror.org/01gjxh181","country_code":"JP","type":"education","lineage":["https://openalex.org/I2799546942"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Soichiro Hotta","raw_affiliation_strings":["Mie University, Tsu-shi, Mie, Japan"],"affiliations":[{"raw_affiliation_string":"Mie University, Tsu-shi, Mie, Japan","institution_ids":["https://openalex.org/I2799546942","https://openalex.org/I178574317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111490360","display_name":"Tetsushi Wakabayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]},{"id":"https://openalex.org/I2799546942","display_name":"Tsu City College","ror":"https://ror.org/01gjxh181","country_code":"JP","type":"education","lineage":["https://openalex.org/I2799546942"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsushi Wakabayashi","raw_affiliation_strings":["Mie University, Tsu-shi, Mie, Japan"],"affiliations":[{"raw_affiliation_string":"Mie University, Tsu-shi, Mie, Japan","institution_ids":["https://openalex.org/I2799546942","https://openalex.org/I178574317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090113574"],"corresponding_institution_ids":["https://openalex.org/I178574317","https://openalex.org/I2799546942"],"apc_list":null,"apc_paid":null,"fwci":0.3234,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6642877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"166","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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":0.9961000084877014,"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/gesture","display_name":"Gesture","score":0.8935975432395935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7475823163986206},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.7418977618217468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7354093790054321},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7048153281211853},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6433999538421631},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6352763175964355},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5551676750183105},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5316002368927002},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.52414870262146},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5140336751937866},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43097788095474243},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43018966913223267},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29663974046707153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1647779941558838},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10411062836647034}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8935975432395935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7475823163986206},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.7418977618217468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7354093790054321},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7048153281211853},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6433999538421631},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6352763175964355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5551676750183105},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5316002368927002},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.52414870262146},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5140336751937866},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43097788095474243},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43018966913223267},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29663974046707153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1647779941558838},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10411062836647034},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2015.7486487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5099999904632568,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W54958876","https://openalex.org/W1736593278","https://openalex.org/W1983812060","https://openalex.org/W2039808736","https://openalex.org/W2059285180","https://openalex.org/W2118585731","https://openalex.org/W2119350939","https://openalex.org/W2161969291","https://openalex.org/W2162762857","https://openalex.org/W2231506293","https://openalex.org/W2467579536","https://openalex.org/W6637829955","https://openalex.org/W6677656871","https://openalex.org/W6719528878"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735","https://openalex.org/W3174643231"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,24,63],"gesture":[3,98,127,146],"recognition":[4,154],"method":[5,44,152],"employing":[6],"spatiotemporal":[7,158],"auto-correlation":[8],"of":[9,56,108],"grayscale":[10],"gradient":[11],"for":[12,27,97,110,134,144],"image":[13],"sequences":[14],"capturing":[15],"cooking":[16,83],"activities.":[17],"Recognizing":[18],"gestures":[19,67,84],"in":[20,62],"housework":[21],"activities":[22],"is":[23,118,140],"key":[25],"technology":[26],"realizing":[28],"sophisticated":[29],"household":[30],"devices,":[31],"energy":[32],"saving":[33],"as":[34,36],"well":[35],"supporting":[37],"elder":[38],"or":[39],"handicapped":[40],"people.":[41],"The":[42],"proposed":[43,151],"employs":[45],"Cubic":[46],"Gradient":[47],"Local":[48],"Auto":[49],"Correlation":[50],"(Cubic":[51],"GLAC)":[52],"to":[53,70,89,120],"describe":[54],"shape":[55],"objects":[57],"and":[58,77],"its":[59],"temporal":[60],"change":[61],"video":[64],"sequence.":[65],"Human":[66],"are":[68],"able":[69],"be":[71],"recognized":[72],"by":[73],"not":[74],"only":[75],"appearance":[76],"motion":[78],"but":[79],"environmental":[80],"objects.":[81],"Actually,":[82],"also":[85],"have":[86],"strong":[87],"relationship":[88],"surrounding":[90],"kitchen":[91],"utensils.":[92],"To":[93],"utilize":[94],"this":[95],"observation":[96],"recognition,":[99,147],"we":[100],"introduce":[101],"the":[102,122,150],"importance":[103],"map":[104],"that":[105,149],"restricts":[106],"regions":[107],"interest":[109],"recognition.":[111],"Support":[112],"vector":[113],"machine":[114],"with":[115],"linear":[116],"kernel":[117],"employed":[119],"classify":[121],"extracted":[123],"feature":[124],"among":[125],"10":[126],"classes.":[128],"Performance":[129],"evaluation":[130],"experiment":[131],"using":[132,156],"\"Actions":[133],"Cooking":[135],"Eggs":[136],"(ACE)\"":[137],"Dataset,":[138],"which":[139],"an":[141],"open":[142],"dataset":[143],"context-based":[145],"shows":[148],"outperforms":[153],"methods":[155],"similar":[157],"features.":[159]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}