{"id":"https://openalex.org/W2538351556","doi":"https://doi.org/10.1109/icdsc.2013.6778218","title":"Action recognition across cameras via reconstructable paths","display_name":"Action recognition across cameras via reconstructable paths","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2538351556","doi":"https://doi.org/10.1109/icdsc.2013.6778218","mag":"2538351556"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsc.2013.6778218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","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/A5100392006","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-5477-1017"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075638298","display_name":"Jiajia Luo","orcid":"https://orcid.org/0000-0002-9965-7664"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiajia Luo","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072730926","display_name":"Hairong Qi","orcid":"https://orcid.org/0000-0002-2693-5520"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hairong Qi","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.327,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":2,"citation_normalized_percentile":{"value":0.343485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":72,"max":76},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9984,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9971,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.6152508},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action Recognition","score":0.58251977},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.56166846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7471436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7380135},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6152508},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5888249},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.58502614},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.58251977},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.56166846},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.55585176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.54775584},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.48793718},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4186607},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36961102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19382375},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.15751263},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.06704816},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsc.2013.6778218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.58,"id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W1487322600","https://openalex.org/W1487602158","https://openalex.org/W1556583247","https://openalex.org/W1593040460","https://openalex.org/W176837895","https://openalex.org/W1785794460","https://openalex.org/W1981160672","https://openalex.org/W1984219317","https://openalex.org/W1998433034","https://openalex.org/W2005876975","https://openalex.org/W2010243644","https://openalex.org/W2012748644","https://openalex.org/W2021733262","https://openalex.org/W2089685866","https://openalex.org/W2090834590","https://openalex.org/W2103428420","https://openalex.org/W2103519186","https://openalex.org/W2113328646","https://openalex.org/W2129812935","https://openalex.org/W2134380836","https://openalex.org/W2138232383","https://openalex.org/W2162033023","https://openalex.org/W2165918594","https://openalex.org/W2166070055","https://openalex.org/W2533739470","https://openalex.org/W2536349189","https://openalex.org/W2547599103","https://openalex.org/W3987941","https://openalex.org/W59704279"],"related_works":["https://openalex.org/W4297069002","https://openalex.org/W4281390875","https://openalex.org/W4239538403","https://openalex.org/W3185096144","https://openalex.org/W2750034649","https://openalex.org/W2565795945","https://openalex.org/W2512040214","https://openalex.org/W2503910294","https://openalex.org/W2389930485","https://openalex.org/W2165689363"],"abstract_inverted_index":{"To":[0],"deal":[1],"with":[2],"the":[3,36,48,56,70,73,84,102,106,121,133,140,153,176,181],"problem":[4],"of":[5,32,59,65,72],"view":[6,46,62,81,142],"invariant":[7],"action":[8,26,41,57,85,124,138,166,198],"recognition,":[9],"this":[10,40,164],"paper":[11],"presents":[12],"a":[13,30,75,88,93],"novel":[14],"approach":[15,172],"to":[16,45,54,63,82,100,162,190],"recognize":[17,163],"human":[18],"actions":[19],"across":[20,200],"cameras":[21],"via":[22],"reconstructable":[23,50,134],"paths.":[24],"Each":[25],"is":[27,43,52,77,97,173],"modelled":[28],"as":[29],"bag":[31],"visual-words":[33],"based":[34],"on":[35,175],"spatio-temporal":[37],"features.":[38],"Although":[39],"representation":[42],"sensitive":[44],"changes,":[47],"proposed":[49,171],"path":[51],"able":[53,161],"\"translate\"":[55],"descriptor":[58],"one":[60],"camera":[61,67],"that":[64,112],"another":[66],"view.":[68,169],"In":[69],"learning":[71],"paths,":[74,135],"dictionary":[76],"learned":[78,99],"under":[79],"each":[80,113],"transform":[83],"descriptors":[86],"into":[87,147],"sparsely":[89],"represented":[90],"space,":[91],"and":[92,108,120,151,180],"linear":[94],"mapping":[95],"function":[96],"simultaneously":[98],"bridge":[101],"semantic":[103],"gap":[104],"between":[105],"source":[107,149,158],"target":[109,141,168],"spaces,":[110],"such":[111],"domain":[114],"structure":[115],"can":[116,126,143],"be":[117,127,144],"fully":[118],"explored":[119],"discrimination":[122],"among":[123],"categories":[125],"well":[128],"preserved":[129],"after":[130],"translation.":[131],"Along":[132],"an":[136],"unknown":[137,165],"from":[139,167],"precisely":[145],"reconstructed":[146],"any":[148],"view,":[150],"thus":[152],"SVM":[154],"classifiers":[155],"trained":[156],"in":[157],"views":[159],"are":[160],"The":[170],"tested":[174],"IXMAS":[177],"data":[178],"set,":[179],"experimental":[182],"results":[183],"achieve":[184],"improved":[185],"accuracy":[186],"about":[187],"7%":[188],"compared":[189],"other":[191],"existing":[192],"methods,":[193],"demonstrating":[194],"its":[195],"effectiveness":[196],"for":[197],"recognition":[199],"cameras.":[201]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2538351556","counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2024-12-08T09:52:36.746353","created_date":"2016-10-28"}