{"id":"https://openalex.org/W2070544633","doi":"https://doi.org/10.1109/ispacs.2012.6473457","title":"Hierarchical pedestrian detection under low resolution scenario","display_name":"Hierarchical pedestrian detection under low resolution scenario","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2070544633","doi":"https://doi.org/10.1109/ispacs.2012.6473457","mag":"2070544633"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2012.6473457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2012.6473457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Symposium on Intelligent Signal Processing and Communications Systems","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/A5007774284","display_name":"Yun-Fu Liu","orcid":"https://orcid.org/0000-0002-4390-6916"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yun-Fu Liu","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","[Department of Electrical Engineering, National-Taiwan University of Science and Technology, Taipei, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]},{"raw_affiliation_string":"[Department of Electrical Engineering, National-Taiwan University of Science and Technology, Taipei, Taiwan]","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089868194","display_name":"Jing-Ming Guo","orcid":"https://orcid.org/0000-0002-8041-6326"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jing-Ming Guo","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","[Department of Electrical Engineering, National-Taiwan University of Science and Technology, Taipei, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]},{"raw_affiliation_string":"[Department of Electrical Engineering, National-Taiwan University of Science and Technology, Taipei, Taiwan]","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102179585","display_name":"Che\u2010Hao Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Che-Hao Chang","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","[Department of Electrical Engineering, National-Taiwan University of Science and Technology, Taipei, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]},{"raw_affiliation_string":"[Department of Electrical Engineering, National-Taiwan University of Science and Technology, Taipei, Taiwan]","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070037368","display_name":"Chih\u2010Hsien Hsia","orcid":"https://orcid.org/0000-0003-2665-0821"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Hsien Hsia","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","[Department of Electrical Engineering, National-Taiwan University of Science and Technology, Taipei, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]},{"raw_affiliation_string":"[Department of Electrical Engineering, National-Taiwan University of Science and Technology, Taipei, Taiwan]","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007774284"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58357486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"80","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9994999766349792,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/pedestrian","display_name":"Pedestrian","score":0.8837459087371826},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.8582605123519897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7572530508041382},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.68792325258255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6012213826179504},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5030075907707214},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47212061285972595},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43999147415161133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4184044897556305},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3630201518535614},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16319507360458374},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.07164573669433594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07013431191444397}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.8837459087371826},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.8582605123519897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7572530508041382},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.68792325258255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6012213826179504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5030075907707214},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47212061285972595},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43999147415161133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4184044897556305},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3630201518535614},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16319507360458374},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.07164573669433594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07013431191444397},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/ispacs.2012.6473457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2012.6473457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Symposium on Intelligent Signal Processing and Communications Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1988790447","https://openalex.org/W1992825118","https://openalex.org/W2097324787","https://openalex.org/W2106300334","https://openalex.org/W2107775979","https://openalex.org/W2156539399","https://openalex.org/W2161969291","https://openalex.org/W3097096317","https://openalex.org/W3214102110","https://openalex.org/W4236844765","https://openalex.org/W6674662834","https://openalex.org/W6682736280"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2802018156","https://openalex.org/W2027543779","https://openalex.org/W4313315626","https://openalex.org/W2101531944","https://openalex.org/W4298149443","https://openalex.org/W2922437833","https://openalex.org/W2100052226","https://openalex.org/W4312696271"],"abstract_inverted_index":{"The":[0,124],"pedestrian":[1,30,84],"detection":[2,31],"is":[3,15,33,69,94],"a":[4,28,145],"popular":[5,109],"research":[6],"field":[7],"in":[8],"recent":[9],"years,":[10],"yet":[11],"the":[12,51,59,62,89,99,102,113,117,128],"low-resolution":[13],"issue":[14],"rarely":[16],"discussed":[17],"for":[18,23,122,149],"yielding":[19],"reasonable":[20],"response":[21],"time":[22],"drivers.":[24],"In":[25,40,87,105],"this":[26,38],"study,":[27],"hierarchical":[29],"system":[32,130],"proposed":[34,63,129],"to":[35,53,57,71,97],"cope":[36],"with":[37],"issue.":[39],"which,":[41],"two":[42],"independent":[43],"features,":[44],"orientation":[45],"and":[46,116,140],"magnitude,":[47],"are":[48,120],"adopted":[49,70,96,103,121],"as":[50,81,85,112,134,136],"descriptors":[52],"detect":[54],"pedestrians.":[55],"Moreover,":[56],"meet":[58],"real-time":[60],"requirement,":[61],"Probability-based":[64],"Pedestrian":[65],"Mask":[66],"Pre-Filtering":[67],"(PPMPF)":[68],"initially":[72],"filter":[73],"out":[74],"lots":[75],"of":[76,91,101],"non-pedestrian":[77],"regions":[78],"while":[79],"retaining":[80],"more":[82],"true":[83],"possible.":[86],"addition,":[88],"concept":[90],"integral":[92],"image":[93],"also":[95],"simplify":[98],"calculations":[100],"features.":[104],"experimental":[106],"results,":[107],"some":[108],"features":[110],"such":[111],"Haar-like":[114],"feature":[115,119],"edgelet":[118],"comparison.":[123],"results":[125],"demonstrate":[126],"that":[127],"offers":[131],"better":[132],"performance":[133],"well":[135],"high":[137],"processing":[138],"efficiency,":[139],"thus":[141],"it":[142],"can":[143],"be":[144],"very":[146],"competitive":[147],"candidate":[148],"intelligent":[150],"surveillance":[151],"applications.":[152]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}