{"id":"https://openalex.org/W1979606776","doi":"https://doi.org/10.1109/cvpr.2010.5539883","title":"A Hough transform-based voting framework for action recognition","display_name":"A Hough transform-based voting framework for action recognition","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W1979606776","doi":"https://doi.org/10.1109/cvpr.2010.5539883","mag":"1979606776"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5539883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006278133","display_name":"Angela Yao","orcid":"https://orcid.org/0000-0001-7418-6141"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Angela Yao","raw_affiliation_strings":["ETH Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104030810","display_name":"J De Gall","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jue Gall","raw_affiliation_strings":["ETH Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001254143","display_name":"Luc Van Gool","orcid":"https://orcid.org/0000-0002-3445-5711"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE","CH"],"is_corresponding":false,"raw_author_name":"Luc Van Gool","raw_affiliation_strings":["ETH Zurich, Switzerland","KU Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"KU Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":257,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2061","last_page":"2068"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.8258332014083862},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.7869387865066528},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7452433705329895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6930304169654846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6749292612075806},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.6724302172660828},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6189019083976746},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.566722571849823},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48606565594673157},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.47065678238868713},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42070069909095764},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4120102524757385},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35761815309524536},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.291086345911026}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.8258332014083862},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.7869387865066528},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7452433705329895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6930304169654846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6749292612075806},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.6724302172660828},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6189019083976746},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.566722571849823},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48606565594673157},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.47065678238868713},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42070069909095764},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4120102524757385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35761815309524536},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.291086345911026},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cvpr.2010.5539883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.167.8800","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.8800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vision.ee.ethz.ch/%7Egallju/download/jgall_HoughAR_cvpr10.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.725.9653","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.725.9653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vision.ee.ethz.ch/%7Eyaoa/pdfs/yao_gall_vgool_cvpr2010.pdf","raw_type":"text"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/287970","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/287970/2/3177.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE computer society conference on computer vision and pattern recognition - CVPR2010, San Francisco, California, USA, 13-18 June 2010","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1483307070","https://openalex.org/W1867429401","https://openalex.org/W1993229407","https://openalex.org/W1994376191","https://openalex.org/W1995444699","https://openalex.org/W2010399676","https://openalex.org/W2034328688","https://openalex.org/W2096691069","https://openalex.org/W2099867504","https://openalex.org/W2100916003","https://openalex.org/W2101194540","https://openalex.org/W2106255337","https://openalex.org/W2109761267","https://openalex.org/W2111187045","https://openalex.org/W2119799051","https://openalex.org/W2124017786","https://openalex.org/W2125854396","https://openalex.org/W2129496455","https://openalex.org/W2135931458","https://openalex.org/W2136853139","https://openalex.org/W2138105460","https://openalex.org/W2142194269","https://openalex.org/W2143661191","https://openalex.org/W2146776177","https://openalex.org/W2158169396","https://openalex.org/W2159680539","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2165715280","https://openalex.org/W2533503513","https://openalex.org/W2533739470","https://openalex.org/W2547599103","https://openalex.org/W2548546665","https://openalex.org/W2911964244","https://openalex.org/W3141200356","https://openalex.org/W4249279051","https://openalex.org/W4285719527","https://openalex.org/W6639126518","https://openalex.org/W6674985822","https://openalex.org/W6729213900"],"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/W2137816434","https://openalex.org/W2163679795","https://openalex.org/W2736714427","https://openalex.org/W156213964","https://openalex.org/W2050960118"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,13,24,35,45,62,86],"method":[3],"to":[4,22],"classify":[5],"and":[6,30,56,71],"localize":[7],"human":[8],"actions":[9],"in":[10,34,61],"video":[11],"using":[12],"Hough":[14,37],"transform":[15],"voting":[16],"framework.":[17],"Random":[18],"trees":[19,43],"are":[20],"trained":[21],"learn":[23],"mapping":[25],"between":[26,52],"densely-sampled":[27],"feature":[28],"patches":[29],"their":[31],"corresponding":[32],"votes":[33],"spatio-temporal-action":[36],"space.":[38],"The":[39],"leaves":[40],"of":[41,89],"the":[42,53],"form":[44],"discriminative":[46],"multi-class":[47],"codebook":[48],"that":[49,76],"share":[50],"features":[51,67],"action":[54,59],"classes":[55],"vote":[57],"for":[58],"centers":[60],"probabilistic":[63],"manner.":[64],"Using":[65],"low-level":[66],"such":[68],"as":[69],"gradients":[70],"optical":[72],"flow,":[73],"we":[74],"demonstrate":[75],"Hough-voting":[77],"can":[78],"achieve":[79],"state-of-the-art":[80],"performance":[81],"on":[82],"several":[83],"datasets":[84],"covering":[85],"wide":[87],"range":[88],"action-recognition":[90],"scenarios.":[91]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":26},{"year":2015,"cited_by_count":33},{"year":2014,"cited_by_count":39},{"year":2013,"cited_by_count":40},{"year":2012,"cited_by_count":42}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
