{"id":"https://openalex.org/W2296444227","doi":"https://doi.org/10.1109/icip.2015.7350866","title":"Human action recognition using time-invariant key-trajectories describing spatio-temporal salient motion","display_name":"Human action recognition using time-invariant key-trajectories describing spatio-temporal salient motion","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2296444227","doi":"https://doi.org/10.1109/icip.2015.7350866","mag":"2296444227"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7350866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5046505461","display_name":"Jeong-Jik Seo","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong-Jik Seo","raw_affiliation_strings":["Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043867103","display_name":"Wissam J. Baddar","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wissam J. Baddar","raw_affiliation_strings":["Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055987476","display_name":"Dae Hoe Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dae Hoe Kim","raw_affiliation_strings":["Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038798134","display_name":"Yong Man Ro","orcid":"https://orcid.org/0000-0001-5306-6853"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong Man Ro","raw_affiliation_strings":["Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.1352,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48798067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"586","last_page":"590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.9983000159263611,"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":0.9980000257492065,"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/salient","display_name":"Salient","score":0.7798953652381897},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7249215841293335},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6971312761306763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6852573156356812},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6407372951507568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6261165738105774},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6209150552749634},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6035060882568359},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.5508924126625061},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5315636992454529},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5177761316299438},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47563791275024414},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.45112624764442444},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43941444158554077},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3798495829105377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36943259835243225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16700053215026855}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7798953652381897},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7249215841293335},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6971312761306763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852573156356812},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6407372951507568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6261165738105774},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6209150552749634},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6035060882568359},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.5508924126625061},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5315636992454529},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5177761316299438},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47563791275024414},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.45112624764442444},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43941444158554077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3798495829105377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36943259835243225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16700053215026855},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7350866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W136504859","https://openalex.org/W1490100156","https://openalex.org/W1576762698","https://openalex.org/W1595717062","https://openalex.org/W1606858007","https://openalex.org/W1755205674","https://openalex.org/W1850164289","https://openalex.org/W1973166425","https://openalex.org/W1983705368","https://openalex.org/W2008559937","https://openalex.org/W2038735287","https://openalex.org/W2063153269","https://openalex.org/W2068329823","https://openalex.org/W2068611653","https://openalex.org/W2105101328","https://openalex.org/W2114361838","https://openalex.org/W2121647436","https://openalex.org/W2126579184","https://openalex.org/W2129812935","https://openalex.org/W2142194269","https://openalex.org/W2151103935","https://openalex.org/W2157284958","https://openalex.org/W2161969291","https://openalex.org/W2163292664","https://openalex.org/W4205398292","https://openalex.org/W4236055315","https://openalex.org/W6605536666","https://openalex.org/W6629341600","https://openalex.org/W6635755983","https://openalex.org/W6636412649","https://openalex.org/W6638985075","https://openalex.org/W6677137762"],"related_works":["https://openalex.org/W854522590","https://openalex.org/W2608683086","https://openalex.org/W2182357018","https://openalex.org/W2137996946","https://openalex.org/W3163623791","https://openalex.org/W2090777587","https://openalex.org/W2407952636","https://openalex.org/W1576128429","https://openalex.org/W2012349541","https://openalex.org/W2898934903"],"abstract_inverted_index":{"Human":[0],"action":[1,56,68,95,103],"recognition":[2],"(HAR)":[3],"has":[4],"been":[5,114],"attracting":[6],"much":[7],"attention":[8],"in":[9,83],"the":[10,29,41,47,54,79,98,102,119,125],"computer":[11],"vision":[12],"arena.":[13],"In":[14,61],"particular,":[15],"many":[16],"research":[17],"efforts":[18],"were":[19],"dedicated":[20],"for":[21,27],"developing":[22],"discriminative":[23],"feature":[24,45,122],"extraction":[25,123],"methods":[26],"improving":[28],"HAR":[30,126],"performance.":[31,39,60],"Among":[32],"them,":[33],"trajectory-based":[34,44],"features":[35,69],"have":[36,113],"shown":[37],"state-of-the-art":[38],"However,":[40],"time-variance":[42],"of":[43,50,74,97],"and":[46,108,132],"large":[48],"number":[49],"indistinctive":[51],"trajectories":[52],"describing":[53],"human":[55,67,94],"can":[57],"limit":[58],"their":[59,130],"this":[62],"paper,":[63],"we":[64],"propose":[65],"extracting":[66],"from":[70],"a":[71,84],"distinctive":[72,131],"subset":[73],"trajectories,":[75],"namely":[76],"key-trajectories.":[77],"Moreover,":[78],"key-trajectories":[80],"are":[81,90],"extracted":[82],"time-invariant":[85,133],"manner,":[86],"so":[87],"that":[88,118],"they":[89],"able":[91],"to":[92,129],"represent":[93],"regardless":[96],"time":[99],"at":[100],"which":[101],"occurs.":[104],"With":[105],"publically":[106],"available":[107],"challenging":[109],"datasets,":[110],"comparative":[111],"experiments":[112],"conducted.":[115],"Results":[116],"show":[117],"proposed":[120],"key-trajectory":[121],"improves":[124],"performance":[127],"thanks":[128],"characteristics.":[134]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
