{"id":"https://openalex.org/W2110169948","doi":"https://doi.org/10.1109/ivs.2011.5940432","title":"Pedestrian detection and direction estimation by cascade detector with multi-classifiers utilizing feature interaction descriptor","display_name":"Pedestrian detection and direction estimation by cascade detector with multi-classifiers utilizing feature interaction descriptor","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2110169948","doi":"https://doi.org/10.1109/ivs.2011.5940432","mag":"2110169948"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2011.5940432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2011.5940432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Intelligent Vehicles Symposium (IV)","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/A5110734506","display_name":"Kunihiro Goto","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165351","display_name":"Toyota Central Research and Development Laboratories (Japan)","ror":"https://ror.org/05mjgqe69","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4210165351"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunihiro Goto","raw_affiliation_strings":["Toyota Central Research and Development Laboratories, Inc., Nagakute, Aichi, Japan","Toyota Central R&D Laboratories, Inc., Nagakute, Aichi, 480-1192, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyota Central Research and Development Laboratories, Inc., Nagakute, Aichi, Japan","institution_ids":["https://openalex.org/I4210165351"]},{"raw_affiliation_string":"Toyota Central R&D Laboratories, Inc., Nagakute, Aichi, 480-1192, Japan","institution_ids":["https://openalex.org/I4210165351"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015264512","display_name":"Kiyosumi Kidono","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165351","display_name":"Toyota Central Research and Development Laboratories (Japan)","ror":"https://ror.org/05mjgqe69","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4210165351"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyosumi Kidono","raw_affiliation_strings":["Toyota Central Research and Development Laboratories, Inc., Nagakute, Aichi, Japan","Toyota Central R&D Laboratories, Inc., Nagakute, Aichi, 480-1192, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyota Central Research and Development Laboratories, Inc., Nagakute, Aichi, Japan","institution_ids":["https://openalex.org/I4210165351"]},{"raw_affiliation_string":"Toyota Central R&D Laboratories, Inc., Nagakute, Aichi, 480-1192, Japan","institution_ids":["https://openalex.org/I4210165351"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100994329","display_name":"Yoshikatsu Kimura","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165351","display_name":"Toyota Central Research and Development Laboratories (Japan)","ror":"https://ror.org/05mjgqe69","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4210165351"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshikatsu Kimura","raw_affiliation_strings":["Toyota Central Research and Development Laboratories, Inc., Nagakute, Aichi, Japan","Toyota Central R&D Laboratories, Inc., Nagakute, Aichi, 480-1192, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyota Central Research and Development Laboratories, Inc., Nagakute, Aichi, Japan","institution_ids":["https://openalex.org/I4210165351"]},{"raw_affiliation_string":"Toyota Central R&D Laboratories, Inc., Nagakute, Aichi, 480-1192, Japan","institution_ids":["https://openalex.org/I4210165351"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112678813","display_name":"Takashi Naito","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165351","display_name":"Toyota Central Research and Development Laboratories (Japan)","ror":"https://ror.org/05mjgqe69","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4210165351"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Naito","raw_affiliation_strings":["Toyota Central Research and Development Laboratories, Inc., Nagakute, Aichi, Japan","Toyota Central R&D Laboratories, Inc., Nagakute, Aichi, 480-1192, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyota Central Research and Development Laboratories, Inc., Nagakute, Aichi, Japan","institution_ids":["https://openalex.org/I4210165351"]},{"raw_affiliation_string":"Toyota Central R&D Laboratories, Inc., Nagakute, Aichi, 480-1192, Japan","institution_ids":["https://openalex.org/I4210165351"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6169,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91789014,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"224","last_page":"229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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":0.9926000237464905,"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/pedestrian-detection","display_name":"Pedestrian detection","score":0.8907735347747803},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.8526922464370728},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7933446168899536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7723277807235718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7123734951019287},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7005411982536316},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6578445434570312},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6418322324752808},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6404147148132324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5221940875053406},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45037826895713806},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4254150092601776},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13064050674438477}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.8907735347747803},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.8526922464370728},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7933446168899536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7723277807235718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7123734951019287},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7005411982536316},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6578445434570312},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6418322324752808},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6404147148132324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5221940875053406},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45037826895713806},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4254150092601776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13064050674438477},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2011.5940432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2011.5940432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1528445814","https://openalex.org/W1531358901","https://openalex.org/W1599933961","https://openalex.org/W1663421356","https://openalex.org/W2058130919","https://openalex.org/W2097509141","https://openalex.org/W2108560551","https://openalex.org/W2118585731","https://openalex.org/W2121955477","https://openalex.org/W2127420331","https://openalex.org/W2142645932","https://openalex.org/W2161969291","https://openalex.org/W2164042219","https://openalex.org/W2168356304","https://openalex.org/W6631557743","https://openalex.org/W6635891616","https://openalex.org/W6677656871"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2802018156","https://openalex.org/W4313315626","https://openalex.org/W2101531944","https://openalex.org/W2913302899","https://openalex.org/W2922437833","https://openalex.org/W2100052226","https://openalex.org/W4312696271","https://openalex.org/W4223892596"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,60,69,89],"pedestrian":[4,61,67,90],"detection":[5,44,80,98],"and":[6,42,62,82,100],"direction":[7,58,87,101],"estimation":[8,102],"method":[9],"by":[10,31,106],"the":[11,17,24,49,57,63,66,74,79,86],"cascade":[12,50],"approach":[13,51],"with":[14,52],"multiclassifiers":[15,53],"using":[16,45],"Feature":[18],"Interaction":[19],"Descriptor":[20],"(FIND).":[21],"FIND":[22],"describes":[23],"high-level":[25],"properties":[26],"of":[27,35,59,65,85,88],"an":[28],"object's":[29],"appearance":[30],"computing":[32],"pair-wise":[33],"interactions":[34],"adjacent":[36],"regionlevel":[37],"features.":[38],"To":[39],"perform":[40],"efficient":[41],"accurate":[43],"FIND,":[46],"we":[47],"employ":[48],"specialized":[54],"in":[55],"both":[56],"distance":[64],"from":[68],"camera.":[70],"Using":[71],"this":[72],"framework,":[73],"developed":[75],"system":[76],"can":[77],"improve":[78],"performance":[81,99],"provide":[83],"information":[84],"simultaneously.":[91],"The":[92],"experimental":[93],"results":[94,103],"show":[95],"that":[96],"superior":[97],"were":[104],"obtained":[105],"our":[107],"method.":[108]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
