{"id":"https://openalex.org/W2891476143","doi":"https://doi.org/10.1145/3240876.3240893","title":"Binary \"proximity patches motion\" descriptor for action recognition in videos","display_name":"Binary \"proximity patches motion\" descriptor for action recognition in videos","publication_year":2018,"publication_date":"2018-08-17","ids":{"openalex":"https://openalex.org/W2891476143","doi":"https://doi.org/10.1145/3240876.3240893","mag":"2891476143"},"language":"en","primary_location":{"id":"doi:10.1145/3240876.3240893","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240876.3240893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Internet Multimedia Computing and Service","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/A5110628651","display_name":"Abassin Sourou Fangbemi","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Abassin Sourou Fangbemi","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395493","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0002-3977-8800"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064573190","display_name":"Nenghai Yu","orcid":"https://orcid.org/0000-0003-4417-9316"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nenghai Yu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108019598","display_name":"Yanxiang Zhang","orcid":"https://orcid.org/0000-0002-9318-0324"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxiang Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0761,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3655501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"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":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/T11439","display_name":"Video Analysis and Summarization","score":0.9983000159263611,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.7718549370765686},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.7221331596374512},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.7153364419937134},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6868101954460144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6860314011573792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5514300465583801},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5481633543968201},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.49265342950820923},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4590091109275818},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.41882434487342834},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3620122969150543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19508486986160278},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15117689967155457},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.06973040103912354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7718549370765686},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.7221331596374512},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.7153364419937134},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6868101954460144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6860314011573792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5514300465583801},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5481633543968201},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.49265342950820923},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4590091109275818},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.41882434487342834},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3620122969150543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19508486986160278},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15117689967155457},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.06973040103912354},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3240876.3240893","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240876.3240893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1153594863","https://openalex.org/W1576762698","https://openalex.org/W1991795929","https://openalex.org/W2010399676","https://openalex.org/W2034328688","https://openalex.org/W2034546082","https://openalex.org/W2045053268","https://openalex.org/W2049095871","https://openalex.org/W2084250485","https://openalex.org/W2098017479","https://openalex.org/W2109761267","https://openalex.org/W2121452312","https://openalex.org/W2139916508","https://openalex.org/W2318487178","https://openalex.org/W2507467930"],"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/W1987527207","https://openalex.org/W2293488289","https://openalex.org/W2904398182"],"abstract_inverted_index":{"Building":[0],"action":[1],"recognition":[2],"systems":[3],"that":[4,120],"are":[5],"simultaneously":[6,34],"fast,":[7],"robust":[8],"and":[9,116,136],"requiring":[10],"small":[11,128],"memory":[12],"space":[13],"is":[14,43,133],"very":[15],"challenging.":[16],"Though":[17],"current":[18],"state-of-the-art":[19,144],"frameworks":[20],"proposed":[21,122],"the":[22,78,114,121,143],"best":[23,35],"performance":[24,36],"on":[25,37,95,113],"accuracy,":[26],"speed":[27],"or":[28],"memory,":[29,131],"they":[30],"do":[31],"not":[32,124],"offer":[33],"all":[38,52],"three":[39,54,108],"metrics.":[40,55],"Thus,":[41],"it":[42,106],"still":[44],"possible":[45],"to":[46,69,142],"achieve":[47],"a":[48,57,64,88,96,127],"good":[49],"trade-off":[50],"among":[51],"these":[53],"Using":[56],"compact":[58],"patch-based":[59],"pattern,":[60],"this":[61],"paper":[62],"introduces":[63],"novel":[65],"binary":[66,146],"motion":[67,72],"descriptor":[68],"efficiently":[70],"describe":[71],"in":[73,84],"video.":[74],"The":[75],"descriptor,":[76],"namely":[77],"Proximity":[79],"Patches":[80],"Motion":[81],"(PPM),":[82],"compares":[83],"two":[85],"different":[86],"ways":[87],"3":[89,91],"x":[90],"central":[92],"patch":[93],"centered":[94],"detected":[97],"keypoint":[98],"with":[99],"other":[100],"24":[101],"patches":[102],"compactly":[103],"positioned":[104],"around":[105],"between":[107],"consecutive":[109],"frames.":[110],"Experimental":[111],"results":[112],"Weizmann":[115],"KTH":[117],"datasets":[118],"show":[119],"method":[123],"only":[125],"requires":[126],"amount":[129],"of":[130],"but":[132],"also":[134],"faster":[135],"achieves":[137],"competitive":[138],"accuracy":[139],"when":[140],"compared":[141],"spatio-temporal":[145],"descriptors.":[147]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}