{"id":"https://openalex.org/W2608527876","doi":"https://doi.org/10.1109/icpr.2016.7899695","title":"Robust hand detection in Vehicles","display_name":"Robust hand detection in Vehicles","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608527876","doi":"https://doi.org/10.1109/icpr.2016.7899695","mag":"2608527876"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5023725893","display_name":"Ngan Le","orcid":"https://orcid.org/0000-0003-2571-0511"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Hoang Ngan Le","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101087504","display_name":"Chenchen Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenchen Zhu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111013520","display_name":"Yutong Zheng","orcid":"https://orcid.org/0009-0005-8946-9132"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yutong Zheng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056226189","display_name":"Khoa Luu","orcid":"https://orcid.org/0000-0003-2104-0901"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khoa Luu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057959136","display_name":"Marios Savvides","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marios Savvides","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"573","last_page":"578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9884999990463257,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6131804585456848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6131804585456848}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1817277359","https://openalex.org/W1914645703","https://openalex.org/W1928739709","https://openalex.org/W1952857803","https://openalex.org/W1990947293","https://openalex.org/W1991367009","https://openalex.org/W1993666393","https://openalex.org/W2000761799","https://openalex.org/W2152264487","https://openalex.org/W2183182206","https://openalex.org/W2290973491","https://openalex.org/W2950094539","https://openalex.org/W6648245117"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"The":[0,107],"problems":[1,70],"of":[2,43,71,143],"hand":[3,27,46,72,104,114,131],"detection":[4,23,28,73,105,132,145],"have":[5],"been":[6],"widely":[7],"addressed":[8],"in":[9,25,37,74,93,153],"many":[10],"areas,":[11],"e.g.":[12,45],"human":[13],"computer":[14],"interaction":[15],"environment,":[16],"driver":[17],"behaviors":[18],"monitoring,":[19],"etc.":[20],"However,":[21],"the":[22,35,58,69,97,112,117,138,144,149,154],"accuracy":[24,146],"recent":[26,130],"systems":[29],"are":[30],"still":[31],"far":[32],"away":[33],"from":[34],"demands":[36],"practice":[38],"due":[39],"to":[40,67,95,100],"a":[41,86,102],"number":[42],"challenges,":[44],"variations,":[47],"highly":[48],"occlusions,":[49],"low-resolution":[50],"and":[51,122,126],"strong":[52],"lighting":[53],"conditions.":[54,81],"This":[55],"paper":[56],"presents":[57],"Multiple":[59],"Scale":[60],"Faster":[61],"Region-based":[62],"Convolutional":[63],"Neural":[64],"Network":[65],"(MS-FRCNN)":[66],"handle":[68,96],"given":[75],"digital":[76],"images":[77],"collected":[78],"under":[79],"challenging":[80,98,113],"Our":[82,134],"proposed":[83,135],"method":[84,108,136],"introduces":[85],"multiple":[87],"scale":[88],"deep":[89],"feature":[90],"extraction":[91],"approach":[92],"order":[94],"factors":[99],"provide":[101],"robust":[103],"algorithm.":[106],"is":[109],"evaluated":[110],"on":[111],"database,":[115],"i.e.":[116],"Vision":[118],"for":[119],"Intelligent":[120],"Vehicles":[121],"Applications":[123],"(VIVA)":[124],"Challenge,":[125],"compared":[127],"against":[128],"various":[129],"methods.":[133],"achieves":[137],"state-of-the-art":[139],"results":[140],"with":[141],"20%":[142],"higher":[147],"than":[148],"second":[150],"best":[151],"one":[152],"VIVA":[155],"challenge.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}