{"id":"https://openalex.org/W2296481874","doi":"https://doi.org/10.1109/icip.2015.7351715","title":"Real-time human body parts localization from dynamic vision sensor","display_name":"Real-time human body parts localization from dynamic vision sensor","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2296481874","doi":"https://doi.org/10.1109/icip.2015.7351715","mag":"2296481874"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"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/A5033586311","display_name":"Wentao Mao","orcid":"https://orcid.org/0000-0001-5335-9517"},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wentao Mao","raw_affiliation_strings":["Samsung Advanced Institute of Technology(China Lab), Samsung Electronics"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology(China Lab), Samsung Electronics","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709541","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0001-5632-4408"},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["Samsung Advanced Institute of Technology(China Lab), Samsung Electronics"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology(China Lab), Samsung Electronics","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695217","display_name":"Xiaotao Wang","orcid":"https://orcid.org/0000-0001-8943-6983"},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotao Wang","raw_affiliation_strings":["Samsung Advanced Institute of Technology(China Lab), Samsung Electronics"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology(China Lab), Samsung Electronics","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027904523","display_name":"Ping Guo","orcid":"https://orcid.org/0000-0003-3495-688X"},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Guo","raw_affiliation_strings":["Samsung Advanced Institute of Technology(China Lab), Samsung Electronics"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology(China Lab), Samsung Electronics","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087453468","display_name":"Shandong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shandong Wang","raw_affiliation_strings":["Samsung Advanced Institute of Technology(China Lab), Samsung Electronics"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology(China Lab), Samsung Electronics","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056774030","display_name":"Guangqi Shao","orcid":"https://orcid.org/0000-0003-2257-8658"},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangqi Shao","raw_affiliation_strings":["Samsung Advanced Institute of Technology(China Lab), Samsung Electronics"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology(China Lab), Samsung Electronics","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031483606","display_name":"Kyoobin Lee","orcid":"https://orcid.org/0000-0003-4299-4923"},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kyoobin Lee","raw_affiliation_strings":["Samsung Advanced Institute of Technology(China Lab), Samsung Electronics"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology(China Lab), Samsung Electronics","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034424989","display_name":"Paul K. J. Park","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Paul K. J. Park","raw_affiliation_strings":["Samsung Advanced Institute of Technology(China Lab), Samsung Electronics"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology(China Lab), Samsung Electronics","institution_ids":["https://openalex.org/I4210155230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5033586311"],"corresponding_institution_ids":["https://openalex.org/I4210155230"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61408328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"45","issue":null,"first_page":"4783","last_page":"4787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9948999881744385,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9939000010490417,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7872021794319153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7554328441619873},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7446824312210083},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6954895257949829},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6619141101837158},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6284717321395874},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.5493646264076233},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5107336044311523},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49434709548950195},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42633652687072754},{"id":"https://openalex.org/keywords/human-body","display_name":"Human body","score":0.42087966203689575},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2853803336620331},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.276372492313385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1098031997680664}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7872021794319153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554328441619873},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7446824312210083},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6954895257949829},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6619141101837158},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6284717321395874},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.5493646264076233},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5107336044311523},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49434709548950195},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42633652687072754},{"id":"https://openalex.org/C193293595","wikidata":"https://www.wikidata.org/wiki/Q23852","display_name":"Human body","level":2,"score":0.42087966203689575},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2853803336620331},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.276372492313385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1098031997680664},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6000000238418579,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1653846008","https://openalex.org/W2007266179","https://openalex.org/W2008008156","https://openalex.org/W2060280062","https://openalex.org/W2072128103","https://openalex.org/W2106004777","https://openalex.org/W2116825644","https://openalex.org/W2124929138","https://openalex.org/W2160815625","https://openalex.org/W6637241121","https://openalex.org/W6675725160"],"related_works":["https://openalex.org/W2906214541","https://openalex.org/W2513422012","https://openalex.org/W2897826427","https://openalex.org/W2133034788","https://openalex.org/W4367367217","https://openalex.org/W2792607040","https://openalex.org/W3135697610","https://openalex.org/W2518528680","https://openalex.org/W2085033728","https://openalex.org/W4285411112"],"abstract_inverted_index":{"Dynamic":[0],"vision":[1],"sensor":[2],"(DVS)":[3],"as":[4],"a":[5,13,17,34,114],"novel":[6],"type":[7],"of":[8,28,53,96],"visual":[9],"sensors":[10],"can":[11],"detect":[12],"moving":[14],"object":[15],"in":[16,51,55],"fast":[18,57],"and":[19,79,102],"cost":[20],"effective":[21],"way":[22],"by":[23],"outputting":[24],"events":[25],"on":[26,69,113,122],"edges":[27],"the":[29,48,84,110],"object.":[30],"This":[31],"paper":[32],"proposes":[33],"body":[35,49,70],"part":[36],"localization":[37,72],"method":[38],"using":[39],"structured":[40],"output":[41],"Deep":[42,75],"Belief":[43,76],"Network":[44,77],"(s-DBN)":[45],"to":[46,74,99],"label":[47],"parts":[50,71],"block":[52],"pixels":[54],"very":[56],"fashion.":[58],"Experiments":[59],"show":[60],"that":[61],"our":[62],"proposed":[63],"algorithm":[64],"achieves":[65],"pixel":[66],"accuracy":[67,95],"90.13%":[68],"compared":[73,98],"(87.01%)":[78],"Random":[80],"Forests":[81],"(84.15%)":[82],"under":[83,105],"same":[85],"computational":[86],"cost.":[87],"For":[88],"head/hand":[89],"detection":[90],"s-DBN":[91],"has":[92],"significant":[93],"better":[94],"99.3%/87.8%":[97],"DBN":[100],"98.7%/81.7%":[101],"RF":[103],"97.1%/47.1%":[104],"recall":[106],"rate":[107],"99%/90%.":[108],"Specifically,":[109],"process":[111],"time":[112],"240\u00d7180":[115],"sized":[116],"image":[117],"is":[118],"less":[119],"than":[120],"1ms":[121],"Intel":[123],"Core2":[124],"2.83GHZ":[125],"CPU.":[126]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}