{"id":"https://openalex.org/W1981771790","doi":"https://doi.org/10.1109/euvip.2014.7018405","title":"CWT-based detection of roadside vegetation aided by motion estimation","display_name":"CWT-based detection of roadside vegetation aided by motion estimation","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1981771790","doi":"https://doi.org/10.1109/euvip.2014.7018405","mag":"1981771790"},"language":"en","primary_location":{"id":"doi:10.1109/euvip.2014.7018405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2014.7018405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 5th European Workshop on Visual Information Processing (EUVIP)","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/A5080925898","display_name":"Iva Harba\u0161","orcid":"https://orcid.org/0000-0002-2965-0379"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Iva Harbas","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, Department of Electronic Systems and Information Processing, Zagreb, Croatia","Faculty of Electrical Engineering and Computing, Department of Electronic Systems and Information Processing, Unska 3, Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, Department of Electronic Systems and Information Processing, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, Department of Electronic Systems and Information Processing, Unska 3, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080016463","display_name":"Marko Suba\u0161i\u0107","orcid":"https://orcid.org/0000-0002-4321-4557"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Marko Subasic","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, Department of Electronic Systems and Information Processing, Zagreb, Croatia","Faculty of Electrical Engineering and Computing, Department of Electronic Systems and Information Processing, Unska 3, Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, Department of Electronic Systems and Information Processing, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, Department of Electronic Systems and Information Processing, Unska 3, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080925898"],"corresponding_institution_ids":["https://openalex.org/I181343428"],"apc_list":null,"apc_paid":null,"fwci":2.8034,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90018719,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6948320865631104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6855344772338867},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6536538600921631},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5308944582939148},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5091049075126648},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.49458810687065125},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.47760626673698425},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.41699880361557007},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.41626009345054626},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4098256826400757},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4064560532569885},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21910083293914795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19996199011802673},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18223118782043457},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08414819836616516}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6948320865631104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6855344772338867},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6536538600921631},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5308944582939148},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5091049075126648},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.49458810687065125},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.47760626673698425},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.41699880361557007},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.41626009345054626},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4098256826400757},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4064560532569885},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21910083293914795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19996199011802673},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18223118782043457},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08414819836616516},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip.2014.7018405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2014.7018405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 5th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W608314793","https://openalex.org/W1710794108","https://openalex.org/W1736209534","https://openalex.org/W1867429401","https://openalex.org/W1971525077","https://openalex.org/W2005543139","https://openalex.org/W2040602945","https://openalex.org/W2075818603","https://openalex.org/W2079450474","https://openalex.org/W2092037720","https://openalex.org/W2102212511","https://openalex.org/W2119479037","https://openalex.org/W2132092299","https://openalex.org/W2133283419","https://openalex.org/W2145104993","https://openalex.org/W2154504070","https://openalex.org/W2158211626","https://openalex.org/W2161673638","https://openalex.org/W2545831718","https://openalex.org/W4245055982","https://openalex.org/W4249022109","https://openalex.org/W4285719527","https://openalex.org/W6637568050","https://openalex.org/W6683067110","https://openalex.org/W6729052819"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W2090763504","https://openalex.org/W4385769873","https://openalex.org/W2382174632","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2129959498","https://openalex.org/W2077021924"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,86,118],"present":[4,132],"a":[5,46,54,139],"method":[6,35,52],"for":[7,12,31],"roadside":[8,126],"vegetation":[9,32,127],"detection":[10,88],"intended":[11],"traffic":[13],"safety":[14],"and":[15,60,115],"road":[16],"infrastructure":[17],"maintenance.":[18],"While":[19],"many":[20],"published":[21],"methods":[22],"are":[23,29,65],"using":[24,110],"Near":[25],"Infrared":[26],"images":[27],"which":[28,124],"suitable":[30],"detection,":[33],"our":[34,120],"uses":[36,53],"features":[37,64],"from":[38,82],"the":[39,43,80,83,90,94],"visible":[40],"spectrum":[41],"allowing":[42],"use":[44,97],"of":[45,56,104],"common":[47],"color":[48,59],"camera.":[49,95],"The":[50,106],"presented":[51],"set":[55],"carefully":[57],"selected":[58],"texture":[61,76],"features.":[62],"Texture":[63],"based":[66],"on":[67],"two-dimensional":[68],"Continuous":[69],"Wavelet":[70],"Transform":[71],"with":[72,141],"oriented":[73],"wavelets.":[74],"Because":[75],"can":[77],"vary":[78],"as":[79,100,136,138],"distance":[81],"camera":[84],"varies,":[85],"limit":[87],"to":[89,93],"regions":[91],"closer":[92],"We":[96,131],"optical":[98],"flow":[99],"an":[101],"approximate":[102],"estimator":[103],"distance.":[105],"classification":[107],"is":[108],"done":[109],"nonlinear":[111],"SVM.":[112],"For":[113],"training":[114],"testing":[116],"purposes":[117],"recorded":[119],"own":[121],"video":[122],"database":[123],"contains":[125],"in":[128],"various":[129],"conditions.":[130],"promising":[133],"experimental":[134],"results":[135],"well":[137],"comparison":[140],"several":[142],"alternative":[143],"approaches.":[144]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}