{"id":"https://openalex.org/W2766707582","doi":"https://doi.org/10.1109/avss.2017.8078546","title":"Activity recognition using a panoramic camera for homecare","display_name":"Activity recognition using a panoramic camera for homecare","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2766707582","doi":"https://doi.org/10.1109/avss.2017.8078546","mag":"2766707582"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2017.8078546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2017.8078546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/A5075750194","display_name":"Oscal T.\u2010C. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Oscal T.-C. Chen","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102475642","display_name":"Ching-Han Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Han Tsai","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056019710","display_name":"Hung Ha Manh","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung Ha Manh","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039469651","display_name":"Wei\u2010Chih Lai","orcid":"https://orcid.org/0000-0003-2703-8845"},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Chih Lai","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075750194"],"corresponding_institution_ids":["https://openalex.org/I148099254"],"apc_list":null,"apc_paid":null,"fwci":0.4551,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.73326109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9977999925613403,"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":0.9977999925613403,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9973000288009644,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9966999888420105,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7413003444671631},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6963530778884888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6533664464950562},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.6010327339172363},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.49451586604118347},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45598888397216797},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.42204421758651733},{"id":"https://openalex.org/keywords/parallelogram","display_name":"Parallelogram","score":0.4124220013618469},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.329363077878952},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.09767025709152222}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7413003444671631},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6963530778884888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6533664464950562},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.6010327339172363},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.49451586604118347},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45598888397216797},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.42204421758651733},{"id":"https://openalex.org/C53118041","wikidata":"https://www.wikidata.org/wiki/Q45867","display_name":"Parallelogram","level":3,"score":0.4124220013618469},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.329363077878952},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.09767025709152222},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2017.8078546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2017.8078546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2022927695","https://openalex.org/W2035866593","https://openalex.org/W2074559009","https://openalex.org/W2123005411","https://openalex.org/W2134560790","https://openalex.org/W2147322805","https://openalex.org/W2153635508","https://openalex.org/W2294836244","https://openalex.org/W2344160634","https://openalex.org/W2560723089","https://openalex.org/W2609990675","https://openalex.org/W6704626691","https://openalex.org/W6730999617"],"related_works":["https://openalex.org/W1480865803","https://openalex.org/W2135300182","https://openalex.org/W2128129414","https://openalex.org/W2082941924","https://openalex.org/W2119312266","https://openalex.org/W2354084157","https://openalex.org/W2542105186","https://openalex.org/W1946746318","https://openalex.org/W2767163254","https://openalex.org/W1574409659"],"abstract_inverted_index":{"On":[0],"the":[1,15,27,47,74,78,81,84,89,113,122,137,151,184,222],"aged":[2],"society":[3],"coming":[4],"soon,":[5],"many":[6],"studies":[7],"have":[8],"explored":[9],"homecare":[10,232],"technologies.":[11],"In":[12],"this":[13,163],"work,":[14],"activities":[16,105],"at":[17,26],"home":[18],"are":[19,98,200,214],"captured":[20],"by":[21],"a":[22,30,127,133,141,228],"panoramic":[23],"camera":[24,85],"located":[25],"center":[28],"of":[29,58,106,144,170,208],"living":[31],"room,":[32],"and":[33,36,43,55,60,69,86,88,96,110,158,197,203,211,218],"then":[34],"analyzed":[35],"classified":[37],"into":[38],"standing,":[39,107],"walking,":[40,108],"sitting,":[41,109],"falling,":[42],"watching":[44,171],"television.":[45],"First,":[46],"background":[48],"subtraction":[49],"scheme":[50],"accompanied":[51],"with":[52,77,194],"shadow":[53],"removal,":[54],"morphological":[56],"operators":[57],"erosion":[59],"dilation":[61],"is":[62,119,130,147,165],"used":[63],"to":[64,100,126,149,188,216],"find":[65],"out":[66],"moving":[67,123],"subjects,":[68],"TV":[70,134,159,209],"on/off":[71],"switching.":[72],"Second,":[73],"parameters":[75],"associated":[76,193],"subject":[79,93,156,195],"height,":[80],"distance":[82,90,198],"between":[83,92],"subject,":[87],"map":[91],"contour":[94],"points":[95],"centroid":[97],"computed":[99],"derive":[101],"features":[102],"for":[103,231],"recognizing":[104],"falling":[111],"where":[112],"Support":[114],"Vector":[115],"Machine":[116],"(SVM)":[117],"classifier":[118],"employed.":[120],"Additionally,":[121],"object":[124],"similar":[125],"parallelogram":[128],"shape":[129],"identified":[131],"as":[132,167],"set.":[135],"Third,":[136],"majority":[138],"voting":[139],"in":[140],"picture":[142],"segment":[143],"10":[145],"pictures":[146],"adopted":[148],"determine":[150],"final":[152],"recognition":[153,180,225],"result.":[154],"When":[155],"sitting":[157],"on":[160,210],"occur":[161],"simultaneously,":[162],"situation":[164],"treated":[166],"an":[168],"activity":[169,179,224],"TV.":[172],"The":[173,190,206],"experimental":[174],"results":[175],"reveal":[176],"that":[177],"our":[178],"system":[181,226],"can":[182],"achieve":[183],"accuracy":[185],"rate":[186],"up":[187],"91.1%.":[189],"error":[191],"rates":[192],"height":[196],"estimations":[199],"around":[201],"5.5%":[202],"8.2%,":[204],"respectively.":[205,220],"accuracies":[207],"off":[212],"detection":[213],"close":[215],"95.9%":[217],"100.0%,":[219],"Therefore,":[221],"proposed":[223],"exhibits":[227],"superior":[229],"performance":[230],"applications.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}