{"id":"https://openalex.org/W2892312210","doi":"https://doi.org/10.3233/jifs-18491","title":"On comprehensive analysis of learning algorithms on pedestrian detection using shape features","display_name":"On comprehensive analysis of learning algorithms on pedestrian detection using shape features","publication_year":2018,"publication_date":"2018-09-06","ids":{"openalex":"https://openalex.org/W2892312210","doi":"https://doi.org/10.3233/jifs-18491","mag":"2892312210"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-18491","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-18491","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-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/A5018898701","display_name":"Igi Ardiyanto","orcid":"https://orcid.org/0000-0002-0006-1458"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Igi Ardiyanto","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085718292","display_name":"Teguh Bharata Adji","orcid":"https://orcid.org/0000-0001-7856-1498"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Teguh Bharata Adji","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001149969","display_name":"Dika Akilla Asmaraman","orcid":null},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dika Akilla Asmaraman","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018898701"],"corresponding_institution_ids":["https://openalex.org/I165230279"],"apc_list":null,"apc_paid":null,"fwci":0.2121,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56281559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"35","issue":"4","first_page":"4807","last_page":"4820"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9969000220298767,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8736635446548462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7930885553359985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6758512854576111},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6474214792251587},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6097980737686157},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6025732755661011},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.5673633813858032},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5339338183403015},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41574227809906006},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36615318059921265},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3583969175815582},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09625047445297241},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08753621578216553}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.8736635446548462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7930885553359985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6758512854576111},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6474214792251587},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6097980737686157},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6025732755661011},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5673633813858032},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5339338183403015},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41574227809906006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36615318059921265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3583969175815582},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09625047445297241},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08753621578216553},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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:10.3233/jifs-18491","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-18491","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1487227422","https://openalex.org/W1965484410","https://openalex.org/W1966500826","https://openalex.org/W1988790447","https://openalex.org/W1992825118","https://openalex.org/W2056132907","https://openalex.org/W2082609813","https://openalex.org/W2096608698","https://openalex.org/W2104671481","https://openalex.org/W2118605474","https://openalex.org/W2139475827","https://openalex.org/W2142645932","https://openalex.org/W2152473410","https://openalex.org/W2161969291","https://openalex.org/W2163272476","https://openalex.org/W2168020168","https://openalex.org/W2289789804","https://openalex.org/W2383989781","https://openalex.org/W2536618264","https://openalex.org/W2559655401","https://openalex.org/W2911964244","https://openalex.org/W3151111735","https://openalex.org/W4254721730","https://openalex.org/W6680570162"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W1977648593","https://openalex.org/W2348780717","https://openalex.org/W2780165746","https://openalex.org/W4252030899","https://openalex.org/W2561938144","https://openalex.org/W3087821047","https://openalex.org/W2071599417","https://openalex.org/W2027543779"],"abstract_inverted_index":{"Despite":[0],"the":[1,7,13,21,41,83,89],"surge":[2],"of":[3,43,52,88],"deep":[4,8],"learning,":[5],"deploying":[6],"learning-based":[9],"pedestrian":[10,44],"detection":[11,28,45],"into":[12],"real":[14],"system":[15,29],"faces":[16],"hurdles,":[17],"mainly":[18],"due":[19],"to":[20,39,56,81],"huge":[22],"resource":[23],"usages.":[24],"The":[25],"classical":[26],"feature-based":[27],"still":[30],"becomes":[31],"feasible":[32],"option.":[33],"There":[34],"have":[35],"been":[36],"many":[37,48],"efforts":[38],"improve":[40],"performance":[42],"system.":[46,90],"Among":[47],"feature":[49],"set,":[50],"Histogram":[51],"Oriented":[53],"Gradient":[54],"seems":[55],"be":[57],"very":[58],"effective":[59],"for":[60,72],"person":[61,73],"detection.":[62,74],"In":[63],"this":[64],"research,":[65],"various":[66],"machine":[67,76],"learning":[68,77],"algorithms":[69,78],"are":[70,79],"investigated":[71],"Different":[75],"evaluated":[80],"obtain":[82],"optimal":[84],"accuracy":[85],"and":[86],"speed":[87]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
