{"id":"https://openalex.org/W2487646848","doi":"https://doi.org/10.1109/icip.2003.1247246","title":"Compressed domain human motion recognition using motion history information","display_name":"Compressed domain human motion recognition using motion history information","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W2487646848","doi":"https://doi.org/10.1109/icip.2003.1247246","mag":"2487646848"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2003.1247246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","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/A5113777904","display_name":"R. Venkatesh Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R.V. Babu","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102979666","display_name":"K.R. Ramakrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K.R. Ramakrishnan","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"III","last_page":"321"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9973999857902527,"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":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.7489396333694458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7448997497558594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7287997007369995},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5911874771118164},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5692758560180664},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5575886368751526},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5122925043106079},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5086489915847778},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4935649633407593},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.45338523387908936},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4423038363456726},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.436189740896225},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4315287470817566},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.41968023777008057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14440447092056274}],"concepts":[{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.7489396333694458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7448997497558594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7287997007369995},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5911874771118164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5692758560180664},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5575886368751526},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5122925043106079},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5086489915847778},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4935649633407593},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.45338523387908936},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4423038363456726},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.436189740896225},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4315287470817566},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.41968023777008057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14440447092056274},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2003.1247246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1582408505","https://openalex.org/W1633843876","https://openalex.org/W1910567995","https://openalex.org/W2017136046","https://openalex.org/W2020570654","https://openalex.org/W2101253040","https://openalex.org/W2118836531","https://openalex.org/W2144761589","https://openalex.org/W2157548127","https://openalex.org/W2159498975","https://openalex.org/W2165715280","https://openalex.org/W4301690602","https://openalex.org/W6674976255"],"related_works":["https://openalex.org/W2156379140","https://openalex.org/W2049273678","https://openalex.org/W2168622369","https://openalex.org/W2157391823","https://openalex.org/W1579157894","https://openalex.org/W1965961823","https://openalex.org/W1969136679","https://openalex.org/W2115625839","https://openalex.org/W839483973","https://openalex.org/W2074037889"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,28],"present":[4],"a":[5,96,117],"system":[6],"for":[7,115],"classifying":[8],"various":[9],"human":[10,121],"actions":[11,135],"in":[12,40],"compressed":[13,42],"domain":[14],"video":[15],"framework.":[16],"We":[17],"introduce":[18],"the":[19,23,41,49,56,63,70,76,79,84,90,106,112,127,132],"notion":[20],"of":[21,75,119,134],"quantifying":[22],"motion":[24,36,51,73,88],"involved,":[25],"through":[26],"what":[27],"call":[29],"\"motion":[30],"flow":[31],"history\"":[32],"(MFH).":[33],"The":[34,59,99],"encoded":[35],"information":[37,74],"readily":[38],"available":[39],"MPEG":[43],"stream":[44],"is":[45,93],"used":[46,103],"to":[47,95,104],"construct":[48],"coarse":[50],"history":[52],"image":[53],"(MHI)":[54],"and":[55,66,72,111],"corresponding":[57],"MFH.":[58],"features":[60,80,101],"extracted":[61,82,100],"from":[62,83],"static":[64],"MHI":[65],"MFH":[67],"compactly":[68],"characterize":[69],"temporal":[71],"action.":[77],"Since":[78],"are":[81,102],"partially":[85],"decoded":[86],"sparse":[87],"data,":[89],"computational":[91],"load":[92],"minimized":[94],"great":[97],"extent.":[98],"train":[105],"KNN,":[107],"neural":[108],"network,":[109],"SVM":[110],"Bayes":[113],"classifiers":[114],"recognizing":[116],"set":[118,133],"seven":[120],"actions.":[122],"Experimental":[123],"results":[124],"show":[125],"that":[126],"proposed":[128],"method":[129],"efficiently":[130],"recognizes":[131],"considered.":[136]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
