{"id":"https://openalex.org/W1973166425","doi":"https://doi.org/10.1109/iccvw.2009.5457659","title":"Trajectons: Action recognition through the motion analysis of tracked features","display_name":"Trajectons: Action recognition through the motion analysis of tracked features","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W1973166425","doi":"https://doi.org/10.1109/iccvw.2009.5457659","mag":"1973166425"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2009.5457659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","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/A5003477410","display_name":"Pyry Matikainen","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pyry Matikainen","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075246991","display_name":"Martial Hebert","orcid":"https://orcid.org/0000-0003-4566-5930"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martial Hebert","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066107323","display_name":"Rahul Sukthankar","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]},{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Sukthankar","raw_affiliation_strings":["INTEL, Research Laboratory, USA","Robotics Institute, Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"INTEL, Research Laboratory, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003477410"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":11.1545,"has_fulltext":false,"cited_by_count":226,"citation_normalized_percentile":{"value":0.987252,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"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":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":0.996399998664856,"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":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.8141741752624512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7850173711776733},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.7543306350708008},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.658214807510376},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6276512742042542},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5903272032737732},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5873977541923523},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.5737301707267761},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5197960138320923},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5114773511886597},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4797714650630951},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.45663028955459595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4434038996696472},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4284575879573822},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2652752101421356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8141741752624512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7850173711776733},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7543306350708008},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.658214807510376},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6276512742042542},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5903272032737732},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5873977541923523},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.5737301707267761},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5197960138320923},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5114773511886597},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4797714650630951},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.45663028955459595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4434038996696472},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4284575879573822},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2652752101421356},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccvw.2009.5457659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.5860","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.5860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-2.cs.cmu.edu/~rahuls/pub/voec2009-rahuls.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1556583247","https://openalex.org/W1625255723","https://openalex.org/W2010399676","https://openalex.org/W2013076218","https://openalex.org/W2034328688","https://openalex.org/W2100398441","https://openalex.org/W2101194540","https://openalex.org/W2103215849","https://openalex.org/W2103357581","https://openalex.org/W2113800095","https://openalex.org/W2116931983","https://openalex.org/W2124635854","https://openalex.org/W2125854396","https://openalex.org/W2135658380","https://openalex.org/W2136399672","https://openalex.org/W2137981002","https://openalex.org/W2138232383","https://openalex.org/W2141303268","https://openalex.org/W2142194269","https://openalex.org/W2142579497","https://openalex.org/W2153635508","https://openalex.org/W2533739470","https://openalex.org/W3120421331","https://openalex.org/W4249279051","https://openalex.org/W6633342350","https://openalex.org/W6636494156","https://openalex.org/W6680015892"],"related_works":["https://openalex.org/W2110230079","https://openalex.org/W2063765648","https://openalex.org/W2101286949","https://openalex.org/W1820551162","https://openalex.org/W2121864739","https://openalex.org/W3084370450","https://openalex.org/W1506834312","https://openalex.org/W2550539038","https://openalex.org/W2465884764","https://openalex.org/W2511137960"],"abstract_inverted_index":{"The":[0],"defining":[1],"feature":[2,89],"of":[3,16,28,77,101,108,115,138],"video":[4,131],"compared":[5],"to":[6,62],"still":[7],"images":[8],"is":[9,23],"motion,":[10],"and":[11,60,91],"as":[12],"such":[13],"the":[14,109,120],"selection":[15],"good":[17],"motion":[18,38,71],"features":[19,118],"for":[20,26,70],"action":[21],"recognition":[22],"crucial,":[24],"especially":[25],"bag":[27,100],"words":[29,102],"techniques":[30,39],"that":[31,42,97],"rely":[32,85],"heavily":[33],"on":[34,73,87,119,134],"their":[35],"features.":[36,79],"Existing":[37],"either":[40],"assume":[41],"a":[43,68,99,130,135],"difficult":[44],"problem":[45],"like":[46],"background/foreground":[47],"segmentation":[48],"has":[49],"already":[50],"been":[51],"solved":[52],"(contour/silhouette":[53],"based":[54,72],"techniques)":[55],"or":[56,83],"are":[57,92],"computationally":[58,93],"expensive":[59],"prone":[61],"noise":[63],"(optical":[64],"flow).":[65],"We":[66,95],"present":[67,126],"technique":[69],"quantized":[74,81],"trajectory":[75],"snippets":[76],"tracked":[78],"These":[80],"snippets,":[82],"trajectons,":[84],"only":[86],"simple":[88],"tracking":[90],"efficient.":[94],"demonstrate":[96],"within":[98],"framework":[103],"trajectons":[104],"can":[105],"match":[106],"state":[107],"art":[110],"results,":[111],"slightly":[112],"outperforming":[113],"histogram":[114],"optical":[116],"flow":[117],"Hollywood":[121],"Actions":[122],"dataset.":[123],"Additionally,":[124],"we":[125],"qualitative":[127],"results":[128],"in":[129],"search":[132],"task":[133],"custom":[136],"dataset":[137],"challenging":[139],"YouTube":[140],"videos.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":20},{"year":2016,"cited_by_count":25},{"year":2015,"cited_by_count":32},{"year":2014,"cited_by_count":25},{"year":2013,"cited_by_count":20},{"year":2012,"cited_by_count":15}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
