{"id":"https://openalex.org/W1940585053","doi":"https://doi.org/10.1109/cvpr.2015.7298691","title":"Pooled motion features for first-person videos","display_name":"Pooled motion features for first-person videos","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1940585053","doi":"https://doi.org/10.1109/cvpr.2015.7298691","mag":"1940585053"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"preprint","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/A5084829008","display_name":"Michael S. Ryoo","orcid":"https://orcid.org/0000-0002-5452-8332"},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. S. Ryoo","raw_affiliation_strings":["Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA"],"affiliations":[{"raw_affiliation_string":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","institution_ids":["https://openalex.org/I1334627681"]},{"raw_affiliation_string":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA","institution_ids":["https://openalex.org/I1334627681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078435171","display_name":"Brandon Rothrock","orcid":"https://orcid.org/0000-0003-2237-6589"},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon Rothrock","raw_affiliation_strings":["Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA"],"affiliations":[{"raw_affiliation_string":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","institution_ids":["https://openalex.org/I1334627681"]},{"raw_affiliation_string":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA","institution_ids":["https://openalex.org/I1334627681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036099508","display_name":"Larry Matthies","orcid":null},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Larry Matthies","raw_affiliation_strings":["Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA"],"affiliations":[{"raw_affiliation_string":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","institution_ids":["https://openalex.org/I1334627681"]},{"raw_affiliation_string":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA","institution_ids":["https://openalex.org/I1334627681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084829008"],"corresponding_institution_ids":["https://openalex.org/I1334627681"],"apc_list":null,"apc_paid":null,"fwci":14.7359,"has_fulltext":false,"cited_by_count":155,"citation_normalized_percentile":{"value":0.99264232,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"896","last_page":"904"},"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":0.9994999766349792,"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":0.9988999962806702,"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":0.801379919052124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7503821849822998},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7345883846282959},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6979206204414368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6531779170036316},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6442487239837646},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6093747615814209},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6082882285118103},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5968083739280701},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49130311608314514},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4738065302371979},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.421754390001297},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41131752729415894},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1423357129096985}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.801379919052124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503821849822998},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7345883846282959},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6979206204414368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6531779170036316},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6442487239837646},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6093747615814209},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6082882285118103},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5968083739280701},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49130311608314514},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4738065302371979},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.421754390001297},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41131752729415894},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1423357129096985},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7298691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W240069591","https://openalex.org/W1606858007","https://openalex.org/W1983705368","https://openalex.org/W2016053056","https://openalex.org/W2020163092","https://openalex.org/W2025581566","https://openalex.org/W2040381230","https://openalex.org/W2044248322","https://openalex.org/W2070999216","https://openalex.org/W2081490348","https://openalex.org/W2102605133","https://openalex.org/W2105101328","https://openalex.org/W2106229755","https://openalex.org/W2136668269","https://openalex.org/W2155893237","https://openalex.org/W2165605600","https://openalex.org/W2167626157","https://openalex.org/W2308045930","https://openalex.org/W2533503513","https://openalex.org/W2533739470","https://openalex.org/W2951638509","https://openalex.org/W2963542991","https://openalex.org/W6609060481","https://openalex.org/W6629368666","https://openalex.org/W6636412649","https://openalex.org/W6675026286","https://openalex.org/W6675954300"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W2810679507"],"abstract_inverted_index":{"In":[0,12],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,40],"new":[6],"feature":[7,56,92,125,138,145],"representation":[8,41,146],"for":[9,164],"first-person":[10,13,169,172],"videos.":[11,37,170],"video":[14],"understanding":[15],"(e.g.,":[16],"activity":[17,81,173],"recognition),":[18],"it":[19],"is":[20,49,61,85],"very":[21],"important":[22],"to":[23,51,62,76,150,180],"capture":[24],"both":[25],"entire":[26],"scene":[27],"dynamics":[28],"(i.e.,":[29],"egomotion)":[30],"and":[31,73,129,158],"salient":[32],"local":[33,155],"motion":[34,78,96],"observed":[35],"in":[36,55,79],"We":[38,116,140],"describe":[39],"framework":[42,84],"based":[43],"on":[44],"time":[45,72],"series":[46],"pooling,":[47],"which":[48],"designed":[50],"ab]":[52],"short-term/long-term":[53],"changes":[54],"descriptor":[57,67],"elements.":[58],"The":[59,83],"idea":[60],"keep":[63],"track":[64],"of":[65,90,100],"how":[66],"values":[68],"are":[69],"changing":[70],"over":[71],"summarize":[74],"them":[75],"represent":[77],"the":[80],"video.":[82],"general,":[86],"handling":[87,168],"any":[88],"types":[89],"per-frame":[91],"descriptors":[93,97,108],"including":[94,127],"conventional":[95],"like":[98,154],"histogram":[99],"optical":[101],"flows":[102],"(HOF)":[103],"as":[104,106],"well":[105],"appearance":[107],"from":[109],"more":[110],"recent":[111],"convolutional":[112],"neural":[113],"networks":[114],"(CNN).":[115],"experimentally":[117],"confirm":[118,142,181],"that":[119,143],"our":[120,144],"approach":[121],"clearly":[122],"outperforms":[123],"previous":[124],"representations":[126],"bag-of-visual-words":[128],"improved":[130],"Fisher":[131],"vector":[132],"(IFV)":[133],"when":[134,167],"using":[135],"identical":[136],"underlying":[137],"descriptors.":[139],"also":[141],"has":[147],"superior":[148],"performance":[149],"existing":[151],"state-of-the-art":[152],"features":[153,157],"spatio-temporal":[156],"Improved":[159],"Trajectory":[160],"Features":[161],"(originally":[162],"developed":[163],"3rd-person":[165],"videos)":[166],"Multiple":[171],"datasets":[174],"were":[175],"tested":[176],"under":[177],"various":[178],"settings":[179],"these":[182],"findings.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":26},{"year":2017,"cited_by_count":32},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-01T06:05:34.837733","created_date":"2025-10-10T00:00:00"}
