{"id":"https://openalex.org/W2550840971","doi":null,"title":"Human Activity Recognition using Motion History Algorithm","display_name":"Human Activity Recognition using Motion History Algorithm","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2550840971","mag":"2550840971"},"language":"en","primary_location":{"id":"mag:2550840971","doi":null,"is_oa":false,"landing_page_url":"https://www.ijser.org/researchpaper/Human-Activity-Recognition-using-Motion-History-Algorithm.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5051581292","display_name":"Muhammad Umair Hassan","orcid":"https://orcid.org/0000-0001-7607-5154","observed_orcids":["https://orcid.org/0000-0001-7607-5154"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammad Umair Hassan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7607-5154","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011693212","display_name":"Tasweer Ahmad","orcid":"https://orcid.org/0000-0002-8108-7915","observed_orcids":["https://orcid.org/0000-0002-8108-7915"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tasweer Ahmad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5112229904","display_name":"Muhammad Ahsan Javaid","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammad Ahsan Javaid","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.257,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60062261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"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":0.9599999785423279,"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":0.9599999785423279,"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":0.021800000220537186,"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":0.006399999838322401,"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/human-activity-recognition","display_name":"human activity recognition","score":0.9990000128746033},{"id":"https://openalex.org/keywords/motion-history-image","display_name":"motion history image","score":0.8370000123977661},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"background subtraction","score":0.7950000166893005},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"discrete cosine transform","score":0.8799999952316284},{"id":"https://openalex.org/keywords/video-surveillance","display_name":"video surveillance","score":0.5049999952316284},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.656000018119812},{"id":"https://openalex.org/keywords/human-body-segmentation","display_name":"human segmentation","score":0.31299999356269836}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7255937457084656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6977438926696777},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6072117686271667},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.5920947790145874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5746285915374756},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5732815861701965},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4757801592350006},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4694466292858124},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4666315019130707},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44558489322662354},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42399200797080994},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42297661304473877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32332274317741394},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32039856910705566},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2635401785373688},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.18624737858772278},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12723931670188904},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2550840971","doi":null,"is_oa":false,"landing_page_url":"https://www.ijser.org/researchpaper/Human-Activity-Recognition-using-Motion-History-Algorithm.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1530669363","https://openalex.org/W1648445109","https://openalex.org/W1864907493","https://openalex.org/W1964393907","https://openalex.org/W1983705368","https://openalex.org/W2012027675","https://openalex.org/W2028605775","https://openalex.org/W2059471177","https://openalex.org/W2065072504","https://openalex.org/W2065275972","https://openalex.org/W2077983882","https://openalex.org/W2105126935","https://openalex.org/W2105621472","https://openalex.org/W2106503382","https://openalex.org/W2107481936","https://openalex.org/W2110575115","https://openalex.org/W2110717643","https://openalex.org/W2119350939","https://openalex.org/W2119799051","https://openalex.org/W2120631228","https://openalex.org/W2123737232","https://openalex.org/W2124111503","https://openalex.org/W2124386111","https://openalex.org/W2138626738","https://openalex.org/W2139479830","https://openalex.org/W2140235142","https://openalex.org/W2141355815","https://openalex.org/W2143373691","https://openalex.org/W2148309101","https://openalex.org/W2151103935","https://openalex.org/W2154346517","https://openalex.org/W2155268664","https://openalex.org/W2156334766","https://openalex.org/W2160429843","https://openalex.org/W2161969291","https://openalex.org/W2163747463","https://openalex.org/W2168494495"],"related_works":["https://openalex.org/W3199355097","https://openalex.org/W2144598853","https://openalex.org/W2615024770","https://openalex.org/W2031502857","https://openalex.org/W2548565599","https://openalex.org/W2901924831","https://openalex.org/W7100577594","https://openalex.org/W2806858445","https://openalex.org/W2115688665","https://openalex.org/W2289677624"],"abstract_inverted_index":{"In":[0,40,132,152,164,201],"this":[1,28,41,155],"research,":[2],"I":[3,18],"have":[4],"worked":[5],"to":[6,98],"recognize":[7],"various":[8,25,101],"human":[9,102,126,160,180,226,284],"actions":[10,103],"and":[11,35,49,70,220,242,281],"activities":[12,127,140,169,181],"using":[13],"Motion":[14],"History":[15],"Algorithm.":[16],"Firstly,":[17],"studied":[19],"different":[20],"techniques":[21],"already":[22],"implemented":[23],"by":[24,246],"researchers":[26],"in":[27,129,145,191,228,264],"field":[29],"like":[30],"motion":[31,64],"image":[32,47],"energy":[33],"etc":[34],"finally":[36],"develop":[37],"an":[38],"approach.":[39],"approach,":[42],"videos":[43],"are":[44,52,72,117,205,215,239,271,275,296,301],"converted":[45],"into":[46,184],"frames":[48],"the":[50,63,81,112,115,135,159,173,243,269,273,278,293,299],"images":[51,67],"pre-processed":[53],"plus":[54],"background":[55],"subtraction":[56],"is":[57,68,85,88,96,128,182],"computed":[58,86],"for":[59,91,149,209,277],"these":[60],"frames.":[61],"Then,":[62],"history":[65],"of":[66,80,83,114,125,137,147,168,175,179,187,224,283,288],"computed,":[69],"features":[71,249,270],"extracted.":[73],"After":[74],"that,":[75],"Discrete":[76],"Cosine":[77],"Transform":[78],"(DCT)":[79],"Region":[82],"Interest":[84],"which":[87,295],"then":[89],"thresholded":[90],"classification.":[92],"The":[93,236],"proposed":[94],"algorithm":[95,300],"able":[97],"distinguish":[99],"between":[100],"sittings,":[104],"standing,":[105],"hand":[106],"waving":[107],"etc.":[108],"1.1.":[109],"Overview:":[110],"Since":[111],"demands":[113],"applications":[116,289],"increasing":[118],"on":[119,292,304],"daily":[120],"basis":[121],"therefore":[122],"automatically":[123],"recognition":[124,156,167,178,280],"our":[130],"sights.":[131],"surveillance":[133,305],"environment,":[134,154],"detection":[136],"not":[138],"normal":[139],"will":[141,157,170,232],"be":[142,233],"very":[143],"helpful":[144],"production":[146],"alerts":[148],"potential":[150],"crime.":[151],"entertainment":[153,307],"update":[158],"computer":[161],"interaction":[162],"(HCI).":[163],"healthcare":[165,310],"system,":[166],"provide":[171],"help":[172],"rehabilitation":[174],"patients.":[176],"Generally,":[177],"divided":[183],"two":[185],"levels":[186],"representations":[188],"as":[189],"shown":[190],"figure":[192],"1:":[193],"1.":[194],"Low-level":[195],"core":[196,202],"technology.":[197],"2.":[198],"High-level":[199],"applications.":[200],"technology,":[203],"there":[204],"3":[206],"main":[207,237],"stages":[208,214],"processing":[210],"any":[211],"activity.":[212],"These":[213],"object":[216,227],"segmentation,":[217],"feature":[218],"extraction":[219],"classification":[221,282],"algorithms.":[222],"First":[223],"all":[225],"a":[229,265],"video":[230],"sequence":[231],"segmented":[234],"out.":[235],"characteristics":[238],"carefully":[240],"extracted":[241],"properly":[244],"represented":[245],"labels":[247],"or":[248,309],"such":[250],"as:":[251],"\u2022":[252,254,256,258,260],"Shape.":[253],"Silhouette.":[255],"Colors.":[257],"Poses.":[259],"Body":[261],"motions.":[262],"So":[263],"nut":[266],"shell,":[267],"once":[268],"extracted,":[272],"algorithms":[274],"applied":[276,303],"detection,":[279],"activities.":[285],"High":[286],"level":[287],"only":[290],"works":[291],"results":[294],"obtained":[297],"when":[298],"successfully":[302],"environments,":[306],"environments":[308],"systems.":[311]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2016-11-30T00:00:00"}