{"id":"https://openalex.org/W2332464381","doi":"https://doi.org/10.1109/icip.2015.7351445","title":"A two-stage hog feature extraction processor embedded with SVM for pedestrian detection","display_name":"A two-stage hog feature extraction processor embedded with SVM for pedestrian detection","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2332464381","doi":"https://doi.org/10.1109/icip.2015.7351445","mag":"2332464381"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5100359954","display_name":"Yuan Xu","orcid":"https://orcid.org/0000-0002-2822-9443"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Yuan","raw_affiliation_strings":["Shenzhen Key Lab of Advanced Communication and Information Processing College of Information Engineering, Shenzhen University, Shenzhen, CHINA"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab of Advanced Communication and Information Processing College of Information Engineering, Shenzhen University, Shenzhen, CHINA","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058327369","display_name":"Li Cai-nian","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Cai-nian","raw_affiliation_strings":["Shenzhen Key Lab of Advanced Communication and Information Processing College of Information Engineering, Shenzhen University, Shenzhen, CHINA"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab of Advanced Communication and Information Processing College of Information Engineering, Shenzhen University, Shenzhen, CHINA","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103669241","display_name":"Xu Xiao-liang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Xiao-liang","raw_affiliation_strings":["Shenzhen Key Lab of Advanced Communication and Information Processing College of Information Engineering, Shenzhen University, Shenzhen, CHINA"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab of Advanced Communication and Information Processing College of Information Engineering, Shenzhen University, Shenzhen, CHINA","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010248010","display_name":"Mei Jiang","orcid":"https://orcid.org/0000-0002-9190-3621"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Mei","raw_affiliation_strings":["Shenzhen Key Lab of Advanced Communication and Information Processing College of Information Engineering, Shenzhen University, Shenzhen, CHINA"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab of Advanced Communication and Information Processing College of Information Engineering, Shenzhen University, Shenzhen, CHINA","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105783273","display_name":"Zhang Jian-guo","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Jian-guo","raw_affiliation_strings":["Shenzhen Key Lab of Advanced Communication and Information Processing College of Information Engineering, Shenzhen University, Shenzhen, CHINA"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab of Advanced Communication and Information Processing College of Information Engineering, Shenzhen University, Shenzhen, CHINA","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100359954"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":1.2887,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87137784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3452","last_page":"3455"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9922999739646912,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9919999837875366,"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":0.8951468467712402},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7664756774902344},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7595590949058533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.674164891242981},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.6736698150634766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5944965481758118},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5319234132766724},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.48908334970474243},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.47167783975601196},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42482230067253113},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32111063599586487},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1897306740283966},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.054511696100234985}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.8951468467712402},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7664756774902344},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7595590949058533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.674164891242981},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.6736698150634766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5944965481758118},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5319234132766724},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.48908334970474243},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.47167783975601196},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42482230067253113},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32111063599586487},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1897306740283966},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.054511696100234985},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1985477827","https://openalex.org/W2062130228","https://openalex.org/W2074091263","https://openalex.org/W2075645037","https://openalex.org/W2093046735","https://openalex.org/W2109330262","https://openalex.org/W2117015848","https://openalex.org/W2139479830","https://openalex.org/W2140093718","https://openalex.org/W2142679357","https://openalex.org/W2161969291","https://openalex.org/W2169828668","https://openalex.org/W6646899959"],"related_works":["https://openalex.org/W2336974148","https://openalex.org/W2126100045","https://openalex.org/W3204901196","https://openalex.org/W2345184372","https://openalex.org/W2187500075","https://openalex.org/W2381773606","https://openalex.org/W2124109643","https://openalex.org/W1561580412","https://openalex.org/W2142681052","https://openalex.org/W4225360039"],"abstract_inverted_index":{"A":[0],"two-stage":[1],"pipeline":[2],"architecture":[3,28,53],"for":[4,59],"pedestrian":[5,38],"detection":[6,39,50],"processor,":[7],"which":[8],"embeds":[9],"the":[10,17],"support":[11],"vector":[12],"machine":[13],"(SVM)":[14],"classifier":[15],"into":[16],"Histogram":[18],"of":[19],"Oriented":[20],"Gradients":[21],"(HOG)":[22],"normalization":[23],"module":[24],"is":[25,45,54],"proposed.":[26],"This":[27],"can":[29,36],"effectively":[30],"reduce":[31],"hardware":[32],"resource":[33],"consumption":[34],"and":[35],"perform":[37],"task":[40],"real-timely.":[41],"Also,":[42],"an":[43],"algorithm":[44],"proposed":[46],"to":[47],"avoid":[48],"duplicated":[49],"automatically.":[51],"The":[52],"verified":[55],"on":[56],"Spartan-6":[57],"FPGA":[58],"SVGA":[60],"resolution":[61],"video":[62],"(800\u00d7600)":[63],"at":[64],"47":[65],"fps/100MHz.":[66]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
