{"id":"https://openalex.org/W1987645221","doi":"https://doi.org/10.1109/iros.2005.1545104","title":"Wide-area recognition using hybrid motion stereo outlier rejection for motion stereo: outlier rejection for motion stereo using sequential data","display_name":"Wide-area recognition using hybrid motion stereo outlier rejection for motion stereo: outlier rejection for motion stereo using sequential data","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1987645221","doi":"https://doi.org/10.1109/iros.2005.1545104","mag":"1987645221"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2005.1545104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2005.1545104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5002501266","display_name":"Shun Nishide","orcid":"https://orcid.org/0009-0004-0461-8606"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"S. Nishide","raw_affiliation_strings":["Department of Systems Innovation Graduate School of Engineering Science, Osaka University, Osaka, Japan","Department of Systems Innovation, Osaka University, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation Graduate School of Engineering Science, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Department of Systems Innovation, Osaka University, Japan#TAB#","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112629611","display_name":"T. Takubo","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Takubo","raw_affiliation_strings":["Department of Systems Innovation Graduate School of Engineering Science, Osaka University, Osaka, Japan","Department of Systems Innovation, Osaka University, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation Graduate School of Engineering Science, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Department of Systems Innovation, Osaka University, Japan#TAB#","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102736991","display_name":"K. Inoue","orcid":"https://orcid.org/0009-0005-0216-9787"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Inoue","raw_affiliation_strings":["Department of Systems Innovation Graduate School of Engineering Science, Osaka University, Osaka, Japan","Department of Systems Innovation, Osaka University, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation Graduate School of Engineering Science, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Department of Systems Innovation, Osaka University, Japan#TAB#","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017331725","display_name":"Tatsuo Arai","orcid":"https://orcid.org/0000-0001-7863-5696"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Arai","raw_affiliation_strings":["Department of Systems Innovation Graduate School of Engineering Science, Osaka University, Osaka, Japan","Department of Systems Innovation, Osaka University, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation Graduate School of Engineering Science, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Department of Systems Innovation, Osaka University, Japan#TAB#","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002501266"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10721063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"647","last_page":"652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10812","display_name":"Human Pose and Action Recognition","score":0.9927999973297119,"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":0.8200078010559082},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8124532699584961},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7204591035842896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6538099646568298},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.6160300970077515},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.60051029920578},{"id":"https://openalex.org/keywords/stereo-cameras","display_name":"Stereo cameras","score":0.5283601880073547},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.5088172554969788},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.48321402072906494},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.48182693123817444},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.47981786727905273},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.4775736629962921},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4213560223579407},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41675862669944763},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3500993251800537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27891671657562256},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.163068950176239}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8200078010559082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8124532699584961},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7204591035842896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538099646568298},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.6160300970077515},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.60051029920578},{"id":"https://openalex.org/C35861506","wikidata":"https://www.wikidata.org/wiki/Q17141434","display_name":"Stereo cameras","level":3,"score":0.5283601880073547},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.5088172554969788},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.48321402072906494},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.48182693123817444},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.47981786727905273},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.4775736629962921},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4213560223579407},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41675862669944763},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3500993251800537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27891671657562256},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.163068950176239},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2005.1545104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2005.1545104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1565206031","https://openalex.org/W2009660638","https://openalex.org/W2057175746","https://openalex.org/W2085261163","https://openalex.org/W2116776005","https://openalex.org/W2116946531","https://openalex.org/W2118877769","https://openalex.org/W2125239138","https://openalex.org/W2130103520","https://openalex.org/W2133859362","https://openalex.org/W2151247767","https://openalex.org/W2152701363","https://openalex.org/W2164638305","https://openalex.org/W2165801966","https://openalex.org/W2481394341","https://openalex.org/W4242010931","https://openalex.org/W6677548441","https://openalex.org/W6679388247"],"related_works":["https://openalex.org/W4306194383","https://openalex.org/W1992486622","https://openalex.org/W4306249900","https://openalex.org/W128884630","https://openalex.org/W4226053486","https://openalex.org/W4304776306","https://openalex.org/W307265996","https://openalex.org/W2589854587","https://openalex.org/W2001412002","https://openalex.org/W2905493506"],"abstract_inverted_index":{"Robots":[0],"working":[1],"in":[2,46,118],"complex":[3],"environment":[4],"require":[5],"accurate":[6],"perception":[7],"of":[8,12,31,35,39,85,103,111,115,137],"a":[9,59,100,109],"wide":[10],"field":[11,38],"view.":[13,40],"Using":[14],"cameras,":[15],"hybrid":[16],"motion":[17,27,49],"stereo,":[18,28],"which":[19,122],"combines":[20],"the":[21,36,42,63,79,104,112,119,124,130,135,138],"computations":[22],"by":[23,48],"stereo":[24,50],"vision":[25],"and":[26,82,87],"is":[29,97],"capable":[30],"acquiring":[32],"positional":[33],"information":[34],"whole":[37],"However,":[41],"technique":[43],"generates":[44],"errors":[45],"computation":[47,72],"when":[51],"tracking":[52],"feature":[53],"points":[54,116],"fails.":[55],"This":[56],"paper":[57],"describes":[58],"method":[60,70],"to":[61,65,91],"reject":[62],"outliers":[64],"avoid":[66],"erroneous":[67],"recognition.":[68],"The":[69,94],"uses":[71],"results":[73,128],"from":[74],"several":[75],"previous":[76],"images,":[77],"computing":[78],"spatial":[80,125],"deviation":[81,84],"temporal":[83],"points,":[86],"rejecting":[88],"those":[89],"considered":[90],"be":[92],"deviated.":[93],"evaluation":[95],"function":[96],"composed":[98],"with":[99,108],"weighted":[101],"average":[102],"sequential":[105],"results,":[106],"each":[107],"weight":[110],"total":[113],"number":[114],"existing":[117],"neighboring":[120],"space,":[121],"represents":[123],"deviation.":[126],"Experimental":[127],"using":[129],"humanoid":[131],"robot":[132],"HRP-2":[133],"denote":[134],"effectiveness":[136],"method.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}