{"id":"https://openalex.org/W2038093187","doi":"https://doi.org/10.1109/euvip.2014.7018409","title":"Trajectory feature fusion for human action recognition","display_name":"Trajectory feature fusion for human action recognition","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2038093187","doi":"https://doi.org/10.1109/euvip.2014.7018409","mag":"2038093187"},"language":"en","primary_location":{"id":"doi:10.1109/euvip.2014.7018409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2014.7018409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 5th European Workshop on Visual Information Processing (EUVIP)","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/A5065144084","display_name":"Sameh Megrhi","orcid":null},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Sameh Megrhi","raw_affiliation_strings":["L2TI, Universit\u00e9 Paris 13, Villetaneuse, France","L2TI, Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99, Avenue Jean-Baptiste Cl\u00e9ment, 93430 Villetaneuse, France"],"affiliations":[{"raw_affiliation_string":"L2TI, Universit\u00e9 Paris 13, Villetaneuse, France","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"L2TI, Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99, Avenue Jean-Baptiste Cl\u00e9ment, 93430 Villetaneuse, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010658612","display_name":"Azeddine Beghdadi","orcid":"https://orcid.org/0000-0002-5595-0615"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Azeddine Beghdadi","raw_affiliation_strings":["L2TI, Universit\u00e9 Paris 13, Villetaneuse, France","L2TI, Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99, Avenue Jean-Baptiste Cl\u00e9ment, 93430 Villetaneuse, France"],"affiliations":[{"raw_affiliation_string":"L2TI, Universit\u00e9 Paris 13, Villetaneuse, France","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"L2TI, Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99, Avenue Jean-Baptiste Cl\u00e9ment, 93430 Villetaneuse, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026996414","display_name":"Wided Souidene Mseddi","orcid":"https://orcid.org/0000-0002-3002-4033"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Wided Souidene","raw_affiliation_strings":["L2TI, Universit\u00e9 Paris 13, Villetaneuse, France","L2TI, Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99, Avenue Jean-Baptiste Cl\u00e9ment, 93430 Villetaneuse, France"],"affiliations":[{"raw_affiliation_string":"L2TI, Universit\u00e9 Paris 13, Villetaneuse, France","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"L2TI, Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99, Avenue Jean-Baptiste Cl\u00e9ment, 93430 Villetaneuse, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065144084"],"corresponding_institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.10576329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9937999844551086,"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":0.9927999973297119,"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/optical-flow","display_name":"Optical flow","score":0.810868501663208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7926148176193237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.732121467590332},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.731942892074585},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6812951564788818},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6650803089141846},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6552515625953674},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.609560489654541},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5499637722969055},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.49218621850013733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4900549650192261},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45238590240478516},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.44838595390319824},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4313502311706543},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14430516958236694}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.810868501663208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7926148176193237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.732121467590332},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.731942892074585},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6812951564788818},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6650803089141846},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6552515625953674},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.609560489654541},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5499637722969055},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.49218621850013733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4900549650192261},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45238590240478516},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.44838595390319824},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4313502311706543},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14430516958236694},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/euvip.2014.7018409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2014.7018409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 5th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.700.9378","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.700.9378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-l2ti.univ-paris13.fr/%7Ebeghdadi/wp-content/uploads/2012/09/Meg-Beg-Souid-EUV14.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1542475657","https://openalex.org/W1576762698","https://openalex.org/W1595717062","https://openalex.org/W1677409904","https://openalex.org/W1864907493","https://openalex.org/W1993229407","https://openalex.org/W2003088946","https://openalex.org/W2033959528","https://openalex.org/W2034328688","https://openalex.org/W2056380775","https://openalex.org/W2068611653","https://openalex.org/W2101194540","https://openalex.org/W2110349562","https://openalex.org/W2118572719","https://openalex.org/W2118877769","https://openalex.org/W2125854396","https://openalex.org/W2126574503","https://openalex.org/W2136853139","https://openalex.org/W2151103935","https://openalex.org/W2155680873","https://openalex.org/W2156735859","https://openalex.org/W2166294429","https://openalex.org/W2251104619","https://openalex.org/W2533739470","https://openalex.org/W4249279051","https://openalex.org/W6635755983","https://openalex.org/W6637400245","https://openalex.org/W6677548441","https://openalex.org/W6682999870"],"related_works":["https://openalex.org/W2293149949","https://openalex.org/W2026099691","https://openalex.org/W4284672201","https://openalex.org/W2377486419","https://openalex.org/W2943202426","https://openalex.org/W2163679795","https://openalex.org/W2736714427","https://openalex.org/W2051121715","https://openalex.org/W1929254672","https://openalex.org/W2227255374"],"abstract_inverted_index":{"This":[0,42],"paper":[1],"addresses":[2],"the":[3,65,84,93,139,151,158,161],"problem":[4],"of":[5,57,64,86,95,160,167],"human":[6],"action":[7,116],"detection/recognition":[8],"by":[9,17,98,108,164],"investigating":[10],"interest":[11],"points":[12],"(IP)":[13],"trajectory":[14,47,78,85],"cues":[15],"and":[16,107,123],"reducing":[18],"undesirable":[19],"small":[20,40],"camera":[21,96],"motion.":[22],"We":[23,91,129],"first":[24],"detect":[25],"speed":[26],"up":[27],"robust":[28,122],"feature":[29,79],"(SURF)":[30],"to":[31,69,82,120],"segment":[32],"video":[33],"into":[34,76],"frame":[35],"volume":[36],"(FV)":[37],"that":[38],"contains":[39],"actions.":[41],"segmentation":[43],"relies":[44],"on":[45,150],"IP":[46,87],"tracking.":[48],"Then,":[49],"for":[50,138],"each":[51],"FV,":[52],"we":[53,156],"extract":[54],"optical":[55,66],"flow":[56,67],"every":[58],"detected":[59],"SURF.":[60],"Finally,":[61],"a":[62,77,89,103,131],"parametrization":[63],"leads":[68],"displacement":[70],"segments.":[71],"These":[72],"features":[73],"are":[74],"concatenated":[75],"in":[80],"order":[81],"describe":[83],"upon":[88],"FV.":[90],"reduce":[92],"impact":[94],"motion":[97,105,110],"considering":[99],"moving":[100],"IPs":[101],"beyond":[102],"minimum":[104],"angle":[106],"using":[109,126],"boundary":[111],"histogram":[112],"(MBH).":[113],"Feature-fusion":[114],"based":[115],"recognition":[117],"is":[118],"performed":[119],"generate":[121],"discriminative":[124],"codebook":[125],"K-mean":[127],"clustering.":[128],"employ":[130],"bag-of-visual-words":[132],"Support":[133],"Vector":[134],"Machine":[135],"(SVM)":[136],"approach":[137],"learning":[140],"/testing":[141],"step.":[142],"Through":[143],"an":[144],"extensive":[145],"experimental":[146],"evaluation":[147],"carried":[148],"out":[149],"challenging":[152],"UCF":[153],"sports":[154],"datasets,":[155],"show":[157],"efficiency":[159],"proposed":[162],"method":[163],"achieving":[165],"83.5%":[166],"accuracy.":[168]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
