{"id":"https://openalex.org/W1969517493","doi":"https://doi.org/10.1109/icsmc.2010.5641683","title":"Omnidirectional vision for mobile robot human body detection and localization","display_name":"Omnidirectional vision for mobile robot human body detection and localization","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W1969517493","doi":"https://doi.org/10.1109/icsmc.2010.5641683","mag":"1969517493"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2010.5641683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5641683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","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/A5100410326","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-7498-6541"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Key Laboratory of Machine Perception and Intelligence, Shenzhen Graduate School, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception and Intelligence, Shenzhen Graduate School, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042391471","display_name":"Zhenhua Huo","orcid":"https://orcid.org/0000-0001-8169-4283"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Huo","raw_affiliation_strings":["Key Laboratory of Machine Perception and Intelligence, Shenzhen Graduate School, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception and Intelligence, Shenzhen Graduate School, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002389298","display_name":"Ge Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Yang","raw_affiliation_strings":["Key Laboratory of Machine Perception and Intelligence, Shenzhen Graduate School, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception and Intelligence, Shenzhen Graduate School, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100410326"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.6374,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67835172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"14","issue":null,"first_page":"2186","last_page":"2191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9975000023841858,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.996999979019165,"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/computer-vision","display_name":"Computer vision","score":0.8630361557006836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8250415325164795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961324214935303},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6930620670318604},{"id":"https://openalex.org/keywords/omnidirectional-camera","display_name":"Omnidirectional camera","score":0.691997766494751},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.6631987690925598},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6285507678985596},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6048594117164612},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.542400062084198},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4680939018726349},{"id":"https://openalex.org/keywords/image-plane","display_name":"Image plane","score":0.462988018989563},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3316194713115692},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1297788918018341}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8630361557006836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8250415325164795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961324214935303},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6930620670318604},{"id":"https://openalex.org/C2777953668","wikidata":"https://www.wikidata.org/wiki/Q684116","display_name":"Omnidirectional camera","level":4,"score":0.691997766494751},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.6631987690925598},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6285507678985596},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6048594117164612},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.542400062084198},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4680939018726349},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.462988018989563},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3316194713115692},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1297788918018341},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2010.5641683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5641683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","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":26,"referenced_works":["https://openalex.org/W159761710","https://openalex.org/W1507251460","https://openalex.org/W1965164020","https://openalex.org/W1992825118","https://openalex.org/W1995444699","https://openalex.org/W2097324787","https://openalex.org/W2097350435","https://openalex.org/W2097512404","https://openalex.org/W2118384078","https://openalex.org/W2118603960","https://openalex.org/W2119103398","https://openalex.org/W2119912937","https://openalex.org/W2127640697","https://openalex.org/W2136405311","https://openalex.org/W2137088997","https://openalex.org/W2143026545","https://openalex.org/W2166623283","https://openalex.org/W2168934173","https://openalex.org/W2542564644","https://openalex.org/W3151111735","https://openalex.org/W6674662834","https://openalex.org/W6674745927","https://openalex.org/W6674862098","https://openalex.org/W6678935379","https://openalex.org/W6684947268","https://openalex.org/W6729014753"],"related_works":["https://openalex.org/W2898919627","https://openalex.org/W4379536980","https://openalex.org/W2666300258","https://openalex.org/W2281433634","https://openalex.org/W1989062809","https://openalex.org/W2118689766","https://openalex.org/W2625795345","https://openalex.org/W2215517927","https://openalex.org/W2137384304","https://openalex.org/W2096407689"],"abstract_inverted_index":{"Human":[0],"body":[1,128,144],"detection":[2,145],"and":[3,47,51,121],"localization":[4],"is":[5,31,88,110,115,130],"an":[6,10,76],"essential":[7],"capability":[8],"of":[9,26,72,139],"autonomous":[11,77],"mobile":[12,40,78],"robot":[13,41],"which":[14,109],"works":[15],"in":[16,132,170],"the":[17],"human-robot":[18,171],"interaction":[19,172],"(HRI)":[20],"environments.":[21,173],"However,":[22],"due":[23],"to":[24,33,57,69,90,95,117,136,155],"field":[25],"view":[27,99,105,152],"(FOV)":[28],"limitations,":[29],"it":[30],"hard":[32],"detect":[34],"all":[35],"human":[36,52,73,127,140,143,157],"bodies":[37,53,74,158],"around":[38],"a":[39,44,64,81,92,96,125],"by":[42,112],"using":[43],"conventional":[45],"camera,":[46],"distances":[48],"between":[49],"robots":[50],"are":[54,147],"also":[55],"difficult":[56],"estimate.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"propose":[63],"novel":[65],"omnidirectional":[66,93,134],"visual":[67],"system":[68,167],"locate":[70,137],"positions":[71],"for":[75],"robot.":[79],"Firstly,":[80],"handy":[82],"fitting":[83],"shape":[84],"based":[85],"method":[86],"(FSM)":[87],"presented":[89],"remap":[91],"image":[94,106,113,153],"bird's":[97,103,150],"eye":[98,104,151],"image.":[100],"A":[101],"new":[102],"segmentation":[107,154],"algorithm,":[108],"inspired":[111],"pyramids,":[114],"used":[116],"split":[118],"obstacle":[119,161],"objects":[120],"ground":[122],"plane.":[123],"Secondly,":[124],"shape-based":[126],"detector":[129],"implemented":[131],"unwrapped":[133],"images":[135],"regions":[138],"bodies.":[141],"These":[142],"results":[146],"combined":[148],"with":[149],"distinguish":[156],"from":[159],"other":[160],"objects.":[162],"Experiments":[163],"show":[164],"that":[165],"our":[166],"performs":[168],"well":[169]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
