{"id":"https://openalex.org/W1976949450","doi":"https://doi.org/10.1109/avss.2014.6918646","title":"Computation strategies for volume local binary patterns applied to action recognition","display_name":"Computation strategies for volume local binary patterns applied to action recognition","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W1976949450","doi":"https://doi.org/10.1109/avss.2014.6918646","mag":"1976949450"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2014.6918646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2014.6918646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/A5044057057","display_name":"Felix W. Baumann","orcid":"https://orcid.org/0000-0001-5292-3040"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210088543","display_name":"Institut f\u00fcr Informationsverarbeitung","ror":"https://ror.org/0047j9t38","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210088543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"F. Baumann","raw_affiliation_strings":["Institut f\u00fcr Informationsverarbeitung (TNT), Leibniz Universit\u00e4t, Hannover, Germany","Institut f\u00fcr Informationsverarbeitung (TNT), Leibniz Universit\u00e4t Hannover, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informationsverarbeitung (TNT), Leibniz Universit\u00e4t, Hannover, Germany","institution_ids":["https://openalex.org/I4210088543","https://openalex.org/I114112103"]},{"raw_affiliation_string":"Institut f\u00fcr Informationsverarbeitung (TNT), Leibniz Universit\u00e4t Hannover, Germany#TAB#","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044536254","display_name":"Anke Ehlers","orcid":"https://orcid.org/0000-0002-8742-0192"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210088543","display_name":"Institut f\u00fcr Informationsverarbeitung","ror":"https://ror.org/0047j9t38","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210088543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"A. Ehlers","raw_affiliation_strings":["Institut f\u00fcr Informationsverarbeitung (TNT), Leibniz Universit\u00e4t, Hannover, Germany","Institut f\u00fcr Informationsverarbeitung (TNT), Leibniz Universit\u00e4t Hannover, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informationsverarbeitung (TNT), Leibniz Universit\u00e4t, Hannover, Germany","institution_ids":["https://openalex.org/I4210088543","https://openalex.org/I114112103"]},{"raw_affiliation_string":"Institut f\u00fcr Informationsverarbeitung (TNT), Leibniz Universit\u00e4t Hannover, Germany#TAB#","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040412734","display_name":"Bodo Rosenhahn","orcid":"https://orcid.org/0000-0003-3861-1424"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210088543","display_name":"Institut f\u00fcr Informationsverarbeitung","ror":"https://ror.org/0047j9t38","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210088543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"B. Rosenhahn","raw_affiliation_strings":["Institut f\u00fcr Informationsverarbeitung (TNT), Leibniz Universit\u00e4t, Hannover, Germany","Institut f\u00fcr Informationsverarbeitung (TNT), Leibniz Universit\u00e4t Hannover, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informationsverarbeitung (TNT), Leibniz Universit\u00e4t, Hannover, Germany","institution_ids":["https://openalex.org/I4210088543","https://openalex.org/I114112103"]},{"raw_affiliation_string":"Institut f\u00fcr Informationsverarbeitung (TNT), Leibniz Universit\u00e4t Hannover, Germany#TAB#","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069250284","display_name":"Jie Liao","orcid":"https://orcid.org/0000-0002-4084-2427"},"institutions":[{"id":"https://openalex.org/I4210139613","display_name":"Hefei Material Science and Technology Center","ror":"https://ror.org/030ebc654","country_code":"CN","type":"facility","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210139613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liao","raw_affiliation_strings":["Department of Electronic Science and Technology, Hefei, Anhui, P.R. China","Department of Electronic Science and Technology Hefei, Anhui 230027, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Science and Technology, Hefei, Anhui, P.R. China","institution_ids":["https://openalex.org/I4210139613"]},{"raw_affiliation_string":"Department of Electronic Science and Technology Hefei, Anhui 230027, P.R. China","institution_ids":["https://openalex.org/I4210139613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"68","last_page":"73"},"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/T12290","display_name":"Human Motion and Animation","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11439","display_name":"Video Analysis and Summarization","score":0.9959999918937683,"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/computation","display_name":"Computation","score":0.7355552315711975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6797616481781006},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.6437906622886658},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5448583960533142},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5358736515045166},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5267274379730225},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.513538122177124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41105222702026367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4016364812850952},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25810277462005615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17833921313285828},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.13120481371879578},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07123470306396484},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06061205267906189}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7355552315711975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797616481781006},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6437906622886658},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5448583960533142},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5358736515045166},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5267274379730225},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.513538122177124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41105222702026367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4016364812850952},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25810277462005615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17833921313285828},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.13120481371879578},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07123470306396484},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06061205267906189},{"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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/avss.2014.6918646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2014.6918646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.674.4913","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.674.4913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.tnt.uni-hannover.de/papers/data/1027/avss2014_baumann.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W7859433","https://openalex.org/W1487602158","https://openalex.org/W1530517206","https://openalex.org/W1816269426","https://openalex.org/W1985188514","https://openalex.org/W2010399676","https://openalex.org/W2013076218","https://openalex.org/W2032304035","https://openalex.org/W2034328688","https://openalex.org/W2042346250","https://openalex.org/W2063153269","https://openalex.org/W2090834590","https://openalex.org/W2095661305","https://openalex.org/W2096691069","https://openalex.org/W2106670658","https://openalex.org/W2109761267","https://openalex.org/W2113242816","https://openalex.org/W2120240539","https://openalex.org/W2126574503","https://openalex.org/W2133993360","https://openalex.org/W2136853139","https://openalex.org/W2139916508","https://openalex.org/W2141494606","https://openalex.org/W2146634731","https://openalex.org/W2152556536","https://openalex.org/W2162267096","https://openalex.org/W2164878725","https://openalex.org/W2166020076","https://openalex.org/W2547599103","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W4212883601","https://openalex.org/W4249279051","https://openalex.org/W4313313956","https://openalex.org/W6600334036","https://openalex.org/W6629120563","https://openalex.org/W6672997307","https://openalex.org/W6683884296","https://openalex.org/W6684549285","https://openalex.org/W6729213900","https://openalex.org/W6846832149"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W2794489335","https://openalex.org/W2080437822","https://openalex.org/W2153027217","https://openalex.org/W2855870609","https://openalex.org/W2904398182","https://openalex.org/W1576128429","https://openalex.org/W2269464716"],"abstract_inverted_index":{"Volume":[0,43],"Local":[1,44],"Binary":[2,45],"Patterns":[3],"are":[4,27,49,71],"a":[5,22,31,98],"well-known":[6,75],"feature":[7],"type":[8],"to":[9,29,64,73,89,104],"describe":[10],"object":[11],"characteristics":[12],"in":[13,51],"the":[14,19,54,74,90,101],"spatiotemporal":[15],"domain.":[16],"Apart":[17],"from":[18],"computation":[20,40],"of":[21,100],"binary":[23],"pattern":[24],"further":[25],"steps":[26],"required":[28],"create":[30],"discriminative":[32,66],"feature.":[33],"In":[34],"this":[35],"paper":[36],"we":[37],"propose":[38],"different":[39],"methods":[41,48,70,106],"for":[42,84,93],"Patterns.":[46],"These":[47],"evaluated":[50],"detail":[52],"and":[53,76,81,88],"best":[55],"strategy":[56],"is":[57,62,107],"shown.":[58],"A":[59],"Random":[60],"Forest":[61],"used":[63],"find":[65],"patterns.":[67],"The":[68],"proposed":[69,102],"applied":[72],"publicly":[77],"available":[78],"KTH":[79],"dataset":[80,83,92],"Weizman":[82],"single-view":[85],"action":[86,95],"recognition":[87],"IXMAS":[91],"multiview":[94],"recognition.":[96],"Furthermore,":[97],"comparison":[99],"framework":[103],"state-of-the-art":[105],"given.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
