{"id":"https://openalex.org/W2061987980","doi":"https://doi.org/10.1109/icip.2010.5654100","title":"Fast human detection using mi-sVM and a cascade of HOG-LBP features","display_name":"Fast human detection using mi-sVM and a cascade of HOG-LBP features","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2061987980","doi":"https://doi.org/10.1109/icip.2010.5654100","mag":"2061987980"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5654100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5654100","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 Image Processing","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/A5062620498","display_name":"Chengbin Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengbin Zeng","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","Beijing Key Laboratory of Intelligent Telecommunications, Software and Multimedia, Beijing University of Posts and Telecommunications, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications, Software and Multimedia, Beijing University of Posts and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100710713","display_name":"Huad\u00f3ng Ma","orcid":"https://orcid.org/0000-0002-7199-5047"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huadong Ma","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","Beijing Key Laboratory of Intelligent Telecommunications, Software and Multimedia, Beijing University of Posts and Telecommunications, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications, Software and Multimedia, Beijing University of Posts and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082092902","display_name":"Anlong Ming","orcid":"https://orcid.org/0000-0003-2952-7757"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anlong Ming","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","Beijing Key Laboratory of Intelligent Telecommunications, Software and Multimedia, Beijing University of Posts and Telecommunications, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications, Software and Multimedia, Beijing University of Posts and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3845","last_page":"3848"},"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":0.9957000017166138,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/local-binary-patterns","display_name":"Local binary patterns","score":0.8783103823661804},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.8366391658782959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7764109373092651},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7519065141677856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7055804133415222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6968843936920166},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6567476987838745},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5741457343101501},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.563122034072876},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5164961814880371},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4378887712955475},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43092411756515503},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31894218921661377},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11732855439186096}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.8783103823661804},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.8366391658782959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7764109373092651},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7519065141677856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7055804133415222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6968843936920166},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6567476987838745},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5741457343101501},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.563122034072876},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5164961814880371},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4378887712955475},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43092411756515503},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31894218921661377},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11732855439186096},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5654100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5654100","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 Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2099355420","https://openalex.org/W2107775979","https://openalex.org/W2108745803","https://openalex.org/W2118585731","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2534262995","https://openalex.org/W2548197316","https://openalex.org/W3097096317","https://openalex.org/W6676245398","https://openalex.org/W6677656871"],"related_works":["https://openalex.org/W2581696209","https://openalex.org/W2020430625","https://openalex.org/W2044065526","https://openalex.org/W2058306460","https://openalex.org/W2955952267","https://openalex.org/W2083564146","https://openalex.org/W2076436625","https://openalex.org/W2148428954","https://openalex.org/W4224879220","https://openalex.org/W2049095871"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,74,85],"human":[4,81],"detection":[5],"approach":[6],"which":[7],"can":[8,97],"process":[9,98],"images":[10],"rapidly":[11],"and":[12,33,65],"detect":[13,79],"the":[14,24,27,48,52,63,80,109,113],"objects":[15],"accurately.":[16],"The":[17],"features":[18,67],"used":[19],"in":[20,89,112],"our":[21,95],"system":[22],"are":[23],"cascade":[25],"of":[26,30,47],"HOG":[28,64],"(Histograms":[29],"Oriented":[31],"Gradients)":[32],"LBP":[34,66],"(Local":[35],"Binary":[36],"Pattern).":[37],"In":[38,69],"order":[39],"to":[40,61,78,102],"achieve":[41],"high":[42],"recall":[43],"at":[44,100],"each":[45],"stage":[46],"cascade,":[49],"we":[50,72],"modify":[51],"mi-SVM":[53],"(Support":[54],"Vector":[55],"Machine":[56],"for":[57],"multiple":[58],"instance":[59],"learning)":[60],"train":[62],"respectively.":[68],"this":[70],"way,":[71],"implement":[73],"novel":[75],"cascade-ofrejectors":[76],"method":[77,96],"fast,":[82],"while":[83],"maintaining":[84],"similar":[86],"accuracy":[87],"reported":[88],"previous":[90],"methods.":[91],"Experimental":[92],"results":[93],"show":[94],"frames":[99,104],"5":[101],"10":[103],"per":[105],"second,":[106],"depending":[107],"on":[108],"scanning":[110],"density":[111],"image.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}