{"id":"https://openalex.org/W2971276633","doi":"https://doi.org/10.1109/icip.2019.8803780","title":"Optimal Choice of Motion Estimation Methods for Fine-Grained Action Classification with 3D Convolutional Networks","display_name":"Optimal Choice of Motion Estimation Methods for Fine-Grained Action Classification with 3D Convolutional Networks","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2971276633","doi":"https://doi.org/10.1109/icip.2019.8803780","mag":"2971276633"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-02326240","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059074784","display_name":"Pierre-Etienne Martin","orcid":"https://orcid.org/0000-0002-9593-4580"},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pierre-Etienne Martin","raw_affiliation_strings":["Univ. Bordeaux, Talence, France","LaBRI - Laboratoire Bordelais de Recherche en Informatique (Domaine Universitaire 351, cours de la Lib\u00e9ration 33405 Talence Cedex - France)","UB - Universit\u00e9 de Bordeaux (35, place Pey Berland - 33076 Bordeaux - France)"],"affiliations":[{"raw_affiliation_string":"Univ. Bordeaux, Talence, France","institution_ids":["https://openalex.org/I15057530"]},{"raw_affiliation_string":"LaBRI - Laboratoire Bordelais de Recherche en Informatique (Domaine Universitaire 351, cours de la Lib\u00e9ration 33405 Talence Cedex - France)","institution_ids":["https://openalex.org/I4210142254"]},{"raw_affiliation_string":"UB - Universit\u00e9 de Bordeaux (35, place Pey Berland - 33076 Bordeaux - France)","institution_ids":["https://openalex.org/I15057530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089758511","display_name":"Jenny Benois\u2010Pineau","orcid":"https://orcid.org/0000-0003-0659-8894"},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jenny Benois-Pineau","raw_affiliation_strings":["Univ. Bordeaux, Talence, France","LaBRI - Laboratoire Bordelais de Recherche en Informatique (Domaine Universitaire 351, cours de la Lib\u00e9ration 33405 Talence Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Univ. Bordeaux, Talence, France","institution_ids":["https://openalex.org/I15057530"]},{"raw_affiliation_string":"LaBRI - Laboratoire Bordelais de Recherche en Informatique (Domaine Universitaire 351, cours de la Lib\u00e9ration 33405 Talence Cedex - France)","institution_ids":["https://openalex.org/I4210142254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033584246","display_name":"Renaud P\u00e9teri","orcid":null},"institutions":[{"id":"https://openalex.org/I78744979","display_name":"La Rochelle Universit\u00e9","ror":"https://ror.org/04mv1z119","country_code":"FR","type":"education","lineage":["https://openalex.org/I78744979"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Renaud Peteri","raw_affiliation_strings":["La Rochelle University, La Rochelle, France","MIA - Math\u00e9matiques, Image et Applications - EA 3165 (B\u00e2timent Pascal Avenue Michel Cr\u00e9peau F-17042 La Rochelle Cedex 1 - France)"],"affiliations":[{"raw_affiliation_string":"La Rochelle University, La Rochelle, France","institution_ids":["https://openalex.org/I78744979"]},{"raw_affiliation_string":"MIA - Math\u00e9matiques, Image et Applications - EA 3165 (B\u00e2timent Pascal Avenue Michel Cr\u00e9peau F-17042 La Rochelle Cedex 1 - France)","institution_ids":["https://openalex.org/I78744979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105990517","display_name":"Julien Morlier","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julien Morlier","raw_affiliation_strings":["University of Bordeaux, Talence, France","IMS - Laboratoire de l'int\u00e9gration, du mat\u00e9riau au syst\u00e8me (33405 TALENCE CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"University of Bordeaux, Talence, France","institution_ids":["https://openalex.org/I15057530"]},{"raw_affiliation_string":"IMS - Laboratoire de l'int\u00e9gration, du mat\u00e9riau au syst\u00e8me (33405 TALENCE CEDEX - France)","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059074784"],"corresponding_institution_ids":["https://openalex.org/I15057530","https://openalex.org/I4210142254"],"apc_list":null,"apc_paid":null,"fwci":1.3159,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84580857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"554","last_page":"558"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"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":0.9957000017166138,"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":0.8670743703842163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8055875301361084},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7154072523117065},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7040539979934692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6687978506088257},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6671072244644165},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6287006139755249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5064646005630493},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5039500594139099},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44098782539367676},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19306862354278564},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.15153256058692932}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.8670743703842163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8055875301361084},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7154072523117065},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7040539979934692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6687978506088257},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6671072244644165},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6287006139755249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5064646005630493},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5039500594139099},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44098782539367676},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19306862354278564},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.15153256058692932},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2019.8803780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02326240v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02326240","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.554-558, &#x27E8;10.1109/ICIP.2019.8803780&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02326240v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02326240","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.554-558, &#x27E8;10.1109/ICIP.2019.8803780&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W65124300","https://openalex.org/W1498368596","https://openalex.org/W1513100184","https://openalex.org/W1522734439","https://openalex.org/W1578985305","https://openalex.org/W1755205674","https://openalex.org/W2025589645","https://openalex.org/W2035866593","https://openalex.org/W2113221323","https://openalex.org/W2163605009","https://openalex.org/W2235034809","https://openalex.org/W2295628903","https://openalex.org/W2330070477","https://openalex.org/W2342662179","https://openalex.org/W2462996230","https://openalex.org/W2523803202","https://openalex.org/W2534318839","https://openalex.org/W2559833261","https://openalex.org/W2619947201","https://openalex.org/W2785413600","https://openalex.org/W2796633859","https://openalex.org/W2889982547","https://openalex.org/W2898846274","https://openalex.org/W2963524571","https://openalex.org/W3104058700","https://openalex.org/W6600983433","https://openalex.org/W6630009274","https://openalex.org/W6630726011","https://openalex.org/W6634902294","https://openalex.org/W6684191040","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W2571255492","https://openalex.org/W4239293476"],"abstract_inverted_index":{"Detecting":[0],"and":[1,17,46,64,102],"classifying":[2],"human":[3],"actions":[4,31,105],"in":[5,13,106],"videos":[6,107],"is":[7,56,99],"one":[8],"of":[9,29,59,67,94,104,120],"the":[10,57,71,81,100,123],"current":[11],"challenges":[12],"visual":[14],"content":[15],"analysis":[16],"mining.":[18],"This":[19,41],"paper":[20],"presents":[21],"a":[22,26,33,65,110,117],"method":[23],"for":[24,80],"performing":[25],"finegrained":[27],"classification":[28,72,103],"sport":[30],"using":[32,109],"Siamese":[34],"SpatioTemporal":[35],"Convolutional":[36],"Neural":[37],"Network":[38],"(SSTCNN)":[39],"model.":[40],"model":[42],"takes":[43],"RGB":[44],"images":[45],"Optical":[47,61],"Flow":[48],"field":[49],"as":[50],"input":[51],"data.":[52],"Our":[53,96],"first":[54],"contribution":[55,98],"comparison":[58],"different":[60,77],"flow":[62,83],"methods":[63,79],"study":[66],"their":[68],"influence":[69],"on":[70],"score.":[73],"We":[74],"also":[75],"present":[76],"normalization":[78],"optical":[82],"that":[84],"drastically":[85],"impact":[86],"results,":[87],"boosting":[88],"performances":[89],"from":[90],"44%":[91],"to":[92,116],"74%":[93],"accuracy.":[95],"second":[97],"detection":[101],"performed":[108],"sliding":[111],"temporal":[112],"window.":[113],"It":[114],"leads":[115],"satisfying":[118],"score":[119],"81.3%":[121],"over":[122],"whole":[124],"dataset":[125],"TTStroke-21.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
