{"id":"https://openalex.org/W2751275890","doi":"https://doi.org/10.1504/ijiei.2017.10007592","title":"Vehicle recognition system based on customised HOG for automotive driver assistance system","display_name":"Vehicle recognition system based on customised HOG for automotive driver assistance system","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2751275890","doi":"https://doi.org/10.1504/ijiei.2017.10007592","mag":"2751275890"},"language":"en","primary_location":{"id":"doi:10.1504/ijiei.2017.10007592","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijiei.2017.10007592","pdf_url":null,"source":{"id":"https://openalex.org/S106085749","display_name":"International Journal of Intelligent Engineering Informatics","issn_l":"1758-8715","issn":["1758-8715","1758-8723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Engineering Informatics","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/A5023319408","display_name":"Anis Youssef","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anis Youssef","raw_affiliation_strings":["TELNET Innovation Labs, Technological pole El Ghazala, 2083 Ariana, Tunisia"],"affiliations":[{"raw_affiliation_string":"TELNET Innovation Labs, Technological pole El Ghazala, 2083 Ariana, Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014507862","display_name":"Abdelhamid Helali","orcid":"https://orcid.org/0000-0002-1623-6830"},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Abdelhamid Helali","raw_affiliation_strings":["Physics Department, Faculty of Science of Monastir, Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir, Avenue of Environment, 5019, Tunisia"],"affiliations":[{"raw_affiliation_string":"Physics Department, Faculty of Science of Monastir, Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir, Avenue of Environment, 5019, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104002922","display_name":"Hassen Maaref","orcid":null},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hassen Maaref","raw_affiliation_strings":["Physics Department, Faculty of Science of Monastir, Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir, Avenue of Environment, 5019, Tunisia"],"affiliations":[{"raw_affiliation_string":"Physics Department, Faculty of Science of Monastir, Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir, Avenue of Environment, 5019, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010366842","display_name":"Amina Msolli","orcid":"https://orcid.org/0000-0003-4947-1228"},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Amina Msolli","raw_affiliation_strings":["Physics Department, Faculty of Science of Monastir, Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir, Avenue of Environment, 5019, Tunisia"],"affiliations":[{"raw_affiliation_string":"Physics Department, Faculty of Science of Monastir, Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir, Avenue of Environment, 5019, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055888138","display_name":"Haythem Ameur","orcid":null},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Haythem Ameur","raw_affiliation_strings":["Physics Department, Faculty of Science of Monastir, Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir, Avenue of Environment, 5019, Tunisia"],"affiliations":[{"raw_affiliation_string":"Physics Department, Faculty of Science of Monastir, Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir, Avenue of Environment, 5019, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023319408"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11542853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"3","first_page":"283","last_page":"283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8692764043807983},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.7194413542747498},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6866017580032349},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.6689925789833069},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6431419849395752},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5973407030105591},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5950629115104675},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.5324799418449402},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5062269568443298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4926777482032776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41485118865966797}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8692764043807983},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.7194413542747498},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6866017580032349},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.6689925789833069},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6431419849395752},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5973407030105591},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5950629115104675},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.5324799418449402},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5062269568443298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4926777482032776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41485118865966797},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijiei.2017.10007592","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijiei.2017.10007592","pdf_url":null,"source":{"id":"https://openalex.org/S106085749","display_name":"International Journal of Intelligent Engineering Informatics","issn_l":"1758-8715","issn":["1758-8715","1758-8723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Engineering Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2773753696","https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W2060079488","https://openalex.org/W1870444468","https://openalex.org/W1964725559","https://openalex.org/W2789727429","https://openalex.org/W3109748140","https://openalex.org/W2045053268","https://openalex.org/W2433492094"],"abstract_inverted_index":{"In":[0,19],"the":[1,63,71,75,93],"last":[2],"decade,":[3],"advanced":[4],"driver":[5],"assistance":[6],"systems":[7],"(ADAS)":[8],"made":[9,68,117],"enormous":[10],"progress.":[11],"However,":[12],"obstacle":[13],"recognition":[14,45,122],"tasks":[15],"remain":[16],"a":[17,29,60,99],"challenge.":[18],"this":[20,50],"paper,":[21],"an":[22,42,79,120],"optimisation":[23],"vehicle":[24,44,112],"detection":[25],"system":[26],"based":[27],"on":[28],"customised":[30],"histogram":[31],"of":[32,62,111],"oriented":[33],"gradients":[34],"(HOG)":[35],"was":[36,67,82],"presented":[37],"and":[38,108,113],"investigated":[39],"to":[40,69,89,118],"achieve":[41,119],"accurate":[43],"system.":[46],"Our":[47,96],"contribution":[48,91],"in":[49,55,92,106],"work":[51],"can":[52],"be":[53],"summarised":[54],"two":[56],"fundamental":[57],"points.":[58],"First,":[59],"re-optimisation":[61],"standard":[64],"HOG":[65],"parameters":[66],"get":[70],"best":[72],"results":[73],"for":[74,84],"car":[76],"detection.":[77],"Secondly,":[78],"amplification":[80],"factor":[81],"distributed":[83],"each":[85],"bin":[86],"weight":[87],"according":[88],"its":[90],"extracted":[94],"car-features.":[95],"studies":[97],"using":[98],"linear":[100],"support":[101],"vector":[102],"machine":[103],"(SVM)":[104],"classifier":[105],"MATLAB":[107],"heterogeneous":[109],"databases":[110],"non-vehicle":[114],"images":[115],"were":[116],"excellent":[121],"rate":[123],"that":[124],"outperforms":[125],"other":[126],"similar":[127],"approaches.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}