{"id":"https://openalex.org/W2001286185","doi":"https://doi.org/10.1109/ivs.2013.6629664","title":"Pedestrian detection using histograms of Oriented Gradients of granule feature","display_name":"Pedestrian detection using histograms of Oriented Gradients of granule feature","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2001286185","doi":"https://doi.org/10.1109/ivs.2013.6629664","mag":"2001286185"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2013.6629664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","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/A5070424910","display_name":"Yi-Ming Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Ming Chan","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei, Taiwan","Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei,Taiwan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei, Taiwan","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei,Taiwan#TAB#","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101925654","display_name":"Li\u2010Chen Fu","orcid":"https://orcid.org/0000-0002-6947-7646"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Chen Fu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei, Taiwan","Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei,Taiwan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei, Taiwan","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei,Taiwan#TAB#","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008432754","display_name":"Pei\u2010Yung Hsiao","orcid":"https://orcid.org/0000-0003-1750-7118"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pei-Yung Hsiao","raw_affiliation_strings":["Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","Dept. of Electr. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043282834","display_name":"Min-Fang Lo","orcid":null},"institutions":[{"id":"https://openalex.org/I189290911","display_name":"National Chung Shan Institute of Science and Technology","ror":"https://ror.org/034ezwg26","country_code":"TW","type":"government","lineage":["https://openalex.org/I189290911"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Fang Lo","raw_affiliation_strings":["Chung-Shan Institute of Science and Technology, Taoyuan, Taiwan","Chung Shan Institute of Science and Technology, Taoyuan, Taiwan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Shan Institute of Science and Technology, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I189290911"]},{"raw_affiliation_string":"Chung Shan Institute of Science and Technology, Taoyuan, Taiwan#TAB#","institution_ids":["https://openalex.org/I189290911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1410","last_page":"1415"},"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":0.9975000023841858,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/histogram","display_name":"Histogram","score":0.8424581289291382},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7979453206062317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7429170608520508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6834993362426758},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6365907788276672},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6256206035614014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6203703284263611},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5685049295425415},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4665845036506653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46095162630081177},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4431605339050293},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.43946120142936707},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20634078979492188}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8424581289291382},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7979453206062317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7429170608520508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6834993362426758},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6365907788276672},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6256206035614014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6203703284263611},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5685049295425415},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4665845036506653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46095162630081177},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4431605339050293},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.43946120142936707},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20634078979492188},{"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/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},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/ivs.2013.6629664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1608462934","https://openalex.org/W1950935069","https://openalex.org/W1979115158","https://openalex.org/W2031454541","https://openalex.org/W2032210760","https://openalex.org/W2077513643","https://openalex.org/W2099355420","https://openalex.org/W2108729336","https://openalex.org/W2108900252","https://openalex.org/W2120907774","https://openalex.org/W2123533187","https://openalex.org/W2131748762","https://openalex.org/W2134380836","https://openalex.org/W2136724559","https://openalex.org/W2154683974","https://openalex.org/W2157890879","https://openalex.org/W2159386181","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2170248718","https://openalex.org/W2548197316","https://openalex.org/W4244952642","https://openalex.org/W6640635755"],"related_works":["https://openalex.org/W3112714922","https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W2979608518","https://openalex.org/W1964725559","https://openalex.org/W2767833206","https://openalex.org/W3109748140","https://openalex.org/W2045053268","https://openalex.org/W2433492094"],"abstract_inverted_index":{"To":[0],"robustly":[1],"detect":[2],"people":[3,23],"in":[4,39,78,141],"a":[5],"video":[6],"sequence":[7],"is":[8,37,64],"hard":[9],"due":[10],"to":[11,25],"various":[12],"challenges.":[13],"One":[14],"of":[15,28,54,58,61,67,76,112,119],"the":[16,26,33,40,44,48,74,89,93,97,110,113,117,142],"most":[17],"successful":[18],"discriminative":[19],"features":[20],"for":[21],"finding":[22],"goes":[24],"Histograms":[27],"Oriented":[29],"Gradients":[30],"(HOG).":[31],"Although":[32],"major":[34],"contour":[35,90],"information":[36,70],"encoded":[38],"HOG":[41],"feature":[42],"well,":[43],"background":[45,99],"clutter":[46,98],"disturbs":[47],"gradient":[49,60,69],"information.":[50,108],"Thus,":[51],"an":[52],"extension":[53],"HOG,":[55],"called":[56],"histograms":[57,75],"oriented":[59],"granules":[62],"(HOGG),":[63],"proposed.":[65],"Instead":[66],"collecting":[68],"at":[71,132],"each":[72],"pixel,":[73],"gradients":[77],"small":[79],"regions":[80],"are":[81],"computed.":[82],"HOGG":[83,120],"with":[84],"different":[85],"granularity":[86],"can":[87,101,121],"describe":[88],"while":[91],"ignoring":[92],"noisy":[94],"edges.":[95],"Moreover,":[96],"problem":[100],"be":[102,122],"solved":[103],"by":[104],"encoding":[105],"extra":[106],"region":[107],"With":[109],"help":[111],"integral":[114],"image":[115],"technique,":[116],"evaluation":[118],"efficient.":[123],"The":[124],"final":[125],"HOG+HOGG":[126],"classifier":[127],"obtains":[128],"92%":[129],"detection":[130],"rate":[131],"10":[133],"<sup":[134],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[135],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-4</sup>":[136],"false":[137],"positive":[138],"per":[139],"window":[140],"experiments.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
