{"id":"https://openalex.org/W2977139876","doi":"https://doi.org/10.1145/3349801.3349821","title":"Accurate Single-Stream Action Detection in Real-Time","display_name":"Accurate Single-Stream Action Detection in Real-Time","publication_year":2019,"publication_date":"2019-09-09","ids":{"openalex":"https://openalex.org/W2977139876","doi":"https://doi.org/10.1145/3349801.3349821","mag":"2977139876"},"language":"en","primary_location":{"id":"doi:10.1145/3349801.3349821","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3349801.3349821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ube.hal.science/hal-02412443","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100345619","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0001-6449-2129"},"institutions":[{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]},{"id":"https://openalex.org/I4390039363","display_name":"Infection et inflammation","ror":"https://ror.org/021sh3243","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039363"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Laboratoire ImViA, Univ. Bourgogne, Franche-Comt\u00e9, Dijon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire ImViA, Univ. Bourgogne, Franche-Comt\u00e9, Dijon, France","institution_ids":["https://openalex.org/I4210118524","https://openalex.org/I4390039363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100623580","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0001-9120-5615"},"institutions":[{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]},{"id":"https://openalex.org/I4390039363","display_name":"Infection et inflammation","ror":"https://ror.org/021sh3243","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039363"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Laboratoire ImViA, Univ. Bourgogne, Franche-Comt\u00e9, Dijon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire ImViA, Univ. Bourgogne, Franche-Comt\u00e9, Dijon, France","institution_ids":["https://openalex.org/I4210118524","https://openalex.org/I4390039363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024609220","display_name":"Dominique Ginhac","orcid":"https://orcid.org/0000-0002-5911-2010"},"institutions":[{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]},{"id":"https://openalex.org/I4390039363","display_name":"Infection et inflammation","ror":"https://ror.org/021sh3243","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I195731000","https://openalex.org/I277688954","https://openalex.org/I4390039363"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dominique Ginhac","raw_affiliation_strings":["Laboratoire ImViA, Univ. Bourgogne, Franche-Comt\u00e9, Dijon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire ImViA, Univ. Bourgogne, Franche-Comt\u00e9, Dijon, France","institution_ids":["https://openalex.org/I4210118524","https://openalex.org/I4390039363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.183,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5004598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9993000030517578,"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":0.9987000226974487,"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":0.8604722023010254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6644601821899414},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5970821380615234},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5859160423278809},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5471099019050598},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5379157066345215},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5364976525306702},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5335856676101685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5318002104759216},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5020439624786377},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4796188771724701},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47764551639556885},{"id":"https://openalex.org/keywords/activity-detection","display_name":"Activity detection","score":0.4401461184024811},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3624260425567627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8604722023010254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6644601821899414},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5970821380615234},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5859160423278809},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5471099019050598},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5379157066345215},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5364976525306702},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5335856676101685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5318002104759216},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5020439624786377},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4796188771724701},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47764551639556885},{"id":"https://openalex.org/C2988656282","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity detection","level":2,"score":0.4401461184024811},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3624260425567627},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"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:10.1145/3349801.3349821","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3349801.3349821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02412443v1","is_oa":true,"landing_page_url":"https://ube.hal.science/hal-02412443","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":"https://dl.acm.org/doi/10.1145/3349801.3349821","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02412443v1","is_oa":true,"landing_page_url":"https://ube.hal.science/hal-02412443","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":"https://dl.acm.org/doi/10.1145/3349801.3349821","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W603908379","https://openalex.org/W764651262","https://openalex.org/W2102605133","https://openalex.org/W2117539524","https://openalex.org/W2186222003","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2249069931","https://openalex.org/W2282391807","https://openalex.org/W2336589871","https://openalex.org/W2342662179","https://openalex.org/W2407521645","https://openalex.org/W2519080876","https://openalex.org/W2552900565","https://openalex.org/W2952186347","https://openalex.org/W2962722947","https://openalex.org/W2962803561","https://openalex.org/W2962815021","https://openalex.org/W2962855257","https://openalex.org/W2963037989","https://openalex.org/W2963585656","https://openalex.org/W2964094092","https://openalex.org/W3106250896","https://openalex.org/W4247924304","https://openalex.org/W4249142012"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4225147082","https://openalex.org/W2778653980"],"abstract_inverted_index":{"Analyzing":[0],"videos":[1],"of":[2,12,34],"human":[3],"actions":[4],"involves":[5],"understanding":[6],"the":[7,13,78,138,144,161],"spatial":[8],"and":[9,55,131],"temporal":[10,91],"context":[11],"scenes.":[14],"State-of-the-art":[15],"action":[16,86,150],"detection":[17,87,151],"approaches":[18],"have":[19],"demonstrated":[20],"impressive":[21],"results":[22],"using":[23],"Convolutional":[24],"Neural":[25],"Networks":[26],"(CNNs)":[27],"within":[28],"a":[29,38,157],"two-stream":[30,162],"framework.":[31],"However,":[32],"most":[33],"them":[35],"operate":[36],"in":[37,46],"non-real-time,":[39],"offline":[40],"fashion,":[41],"thus":[42],"are":[43,61],"not":[44],"well-equipped":[45],"many":[47],"emerging":[48],"real-world":[49],"scenarios":[50],"such":[51],"as":[52,160],"autonomous":[53],"driving":[54],"public":[56],"surveillance.":[57],"In":[58],"addition,":[59],"they":[60],"computationally":[62],"demanding":[63],"to":[64,102,122,153],"be":[65,103],"deployed":[66],"on":[67,129,137],"devices":[68],"with":[69,156],"limited":[70],"power":[71],"resources":[72],"(e.g.,":[73],"embedded":[74],"systems).":[75],"To":[76],"address":[77],"above":[79],"challenges,":[80],"we":[81,116],"propose":[82],"an":[83,118],"efficient":[84],"single-stream":[85],"framework":[88],"by":[89,106],"exploiting":[90],"coherence":[92],"between":[93],"successive":[94],"video":[95],"frames.":[96],"This":[97],"allows":[98],"CNN":[99],"appearance":[100,124,133],"features":[101,134],"cheaply":[104],"propagated":[105],"motions":[107],"rather":[108],"than":[109],"being":[110],"extracted":[111],"from":[112],"every":[113],"frame.":[114],"Furthermore,":[115],"utilize":[117],"implicit":[119],"motion":[120],"representation":[121],"amplify":[123],"features.":[125],"Our":[126],"method":[127,146],"based":[128],"motion-guided":[130],"motion-aware":[132],"is":[135],"evaluated":[136],"UCF-101-24":[139],"dataset.":[140],"Experiments":[141],"indicate":[142],"that":[143],"proposed":[145],"can":[147],"achieve":[148],"real-time":[149],"up":[152],"32":[154],"fps":[155],"comparable":[158],"accuracy":[159],"approach.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}