{"id":"https://openalex.org/W2753752584","doi":"https://doi.org/10.1109/icme.2017.8019303","title":"Robust human detection with super-pixel segmentation and random ferns classification using RGB-D camera","display_name":"Robust human detection with super-pixel segmentation and random ferns classification using RGB-D camera","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2753752584","doi":"https://doi.org/10.1109/icme.2017.8019303","mag":"2753752584"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2017.8019303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","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/A5026431700","display_name":"Luchao Tian","orcid":"https://orcid.org/0000-0002-9367-2011"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luchao Tian","raw_affiliation_strings":["School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101907703","display_name":"Mingchen Li","orcid":"https://orcid.org/0000-0001-5181-8193"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchen Li","raw_affiliation_strings":["School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037138742","display_name":"Guyue Zhang","orcid":"https://orcid.org/0000-0001-9061-1750"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guyue Zhang","raw_affiliation_strings":["School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019548473","display_name":"Jingwen Zhao","orcid":"https://orcid.org/0000-0001-9704-4066"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwen Zhao","raw_affiliation_strings":["School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047949123","display_name":"Yan Qiu Chen","orcid":"https://orcid.org/0000-0002-2100-0988"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Qiu Chen","raw_affiliation_strings":["School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.4776,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76673858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1542","last_page":"1547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9879999756813049,"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-science","display_name":"Computer science","score":0.8248263597488403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8163415193557739},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7369352579116821},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6838151216506958},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.636898934841156},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.6196596622467041},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6137010455131531},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.557147741317749},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5135860443115234},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5062650442123413},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5011229515075684},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4298498034477234},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.3524853587150574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8248263597488403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8163415193557739},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7369352579116821},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6838151216506958},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.636898934841156},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.6196596622467041},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6137010455131531},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.557147741317749},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5135860443115234},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5062650442123413},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5011229515075684},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4298498034477234},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.3524853587150574},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2017.8019303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W855464613","https://openalex.org/W1951197113","https://openalex.org/W2000825879","https://openalex.org/W2032210760","https://openalex.org/W2067912884","https://openalex.org/W2070217198","https://openalex.org/W2097222246","https://openalex.org/W2101886560","https://openalex.org/W2118246710","https://openalex.org/W2121102817","https://openalex.org/W2124132578","https://openalex.org/W2132178785","https://openalex.org/W2132985428","https://openalex.org/W2143122210","https://openalex.org/W2150183285","https://openalex.org/W2161969291","https://openalex.org/W2162846286","https://openalex.org/W2168195382","https://openalex.org/W2258435667","https://openalex.org/W2342980488","https://openalex.org/W2395235827","https://openalex.org/W2509838350","https://openalex.org/W2514882293","https://openalex.org/W2545985378","https://openalex.org/W2579034730","https://openalex.org/W4244952642","https://openalex.org/W6640901054","https://openalex.org/W6678163432","https://openalex.org/W6732365693"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W3014558862"],"abstract_inverted_index":{"Efficient":[0],"and":[1,88,91],"robust":[2],"detection":[3,23],"of":[4],"humans":[5,126],"has":[6],"received":[7],"great":[8],"attention":[9],"during":[10],"the":[11,28,43,52,57,61,72,84,120],"past":[12],"few":[13],"decades.":[14],"This":[15],"paper":[16],"presents":[17],"a":[18,113],"two-staged":[19],"approach":[20,122],"for":[21,33,98],"human":[22],"in":[24,46,56,127],"RGB-D":[25],"images.":[26],"As":[27],"traditional":[29],"sliding":[30],"window-based":[31],"methods":[32],"target":[34],"localization":[35],"are":[36],"often":[37],"time-consuming,":[38],"we":[39,64],"propose":[40,65],"to":[41,49,66,70],"use":[42,67],"super-pixel":[44],"method":[45,104],"depth":[47],"data":[48],"efficiently":[50],"locate":[51],"plausible":[53],"head-top":[54],"locations":[55],"first":[58],"stage.":[59],"In":[60],"second":[62],"stage,":[63],"Random":[68],"Ferns":[69],"seek":[71],"features":[73,87],"by":[74,112],"combining":[75],"information":[76],"from":[77],"different":[78],"image":[79],"spaces,":[80],"which":[81],"can":[82,123],"select":[83],"most":[85],"discriminative":[86],"compute":[89],"simple":[90],"fast":[92],"Local":[93],"Binary":[94],"Features":[95],"(LBFs)":[96],"allowing":[97],"real-time":[99],"applications.":[100],"We":[101],"evaluate":[102],"our":[103],"on":[105],"three":[106],"publicly":[107],"available":[108],"challenging":[109],"datasets":[110],"taken":[111],"Kinect":[114],"camera.":[115],"Experimental":[116],"results":[117],"demonstrate":[118],"that":[119],"proposed":[121],"robustly":[124],"detect":[125],"complicated":[128],"environments.":[129]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
