{"id":"https://openalex.org/W2768963718","doi":"https://doi.org/10.1109/iccp.2017.8117031","title":"Animal detection from traffic scenarios based on monocular color vision","display_name":"Animal detection from traffic scenarios based on monocular color vision","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2768963718","doi":"https://doi.org/10.1109/iccp.2017.8117031","mag":"2768963718"},"language":"en","primary_location":{"id":"doi:10.1109/iccp.2017.8117031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp.2017.8117031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006652404","display_name":"Gyorgy Jasko","orcid":null},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Gyorgy Jasko","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060189145","display_name":"Ion Giosan","orcid":"https://orcid.org/0000-0003-2925-3194"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Ion Giosan","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047954457","display_name":"Sergiu Nedevschi","orcid":"https://orcid.org/0000-0003-2018-4647"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Sergiu Nedevschi","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":4.542,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.95537367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"363","last_page":"368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12644","display_name":"Wildlife-Road Interactions and Conservation","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9850999712944031,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8208699822425842},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7629983425140381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7324730157852173},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6227672100067139},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5813567042350769},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5738400220870972},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5590288639068604},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5294615626335144},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.4871532618999481},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40048420429229736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09433051943778992}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8208699822425842},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7629983425140381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324730157852173},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6227672100067139},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5813567042350769},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5738400220870972},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5590288639068604},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5294615626335144},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.4871532618999481},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40048420429229736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09433051943778992},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp.2017.8117031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp.2017.8117031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1825459403","https://openalex.org/W2062475316","https://openalex.org/W2102819153","https://openalex.org/W2112384361","https://openalex.org/W2128272608","https://openalex.org/W2337612834","https://openalex.org/W2972347019","https://openalex.org/W3097096317","https://openalex.org/W6638644366"],"related_works":["https://openalex.org/W3213997683","https://openalex.org/W2995270189","https://openalex.org/W2061955552","https://openalex.org/W2084124712","https://openalex.org/W2435467664","https://openalex.org/W2091635186","https://openalex.org/W4381188157","https://openalex.org/W2011626633","https://openalex.org/W2037866696","https://openalex.org/W4251947321"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,21,96,155],"system":[4],"capable":[5],"of":[6,40,81,89,99,126,140,146],"detecting":[7],"various":[8],"large":[9,97],"sized":[10],"wild":[11,104],"animals":[12,50],"from":[13,20,66,95,110],"traffic":[14,33,68],"scenes.":[15],"Visual":[16],"data":[17],"is":[18,29,64,93,130,149],"obtained":[19],"camera":[22],"with":[23],"monocular":[24],"color":[25,74],"vison.":[26],"The":[27,78],"goal":[28],"to":[30,36,43,86,115,132],"analyze":[31],"the":[32,38,49,54,67,137,147],"scene":[34,69],"image,":[35,70],"locate":[37],"regions":[39,80,88,139,148],"interest":[41,141],"and":[42,56,75,112,129],"correctly":[44],"classify":[45],"them":[46],"for":[47],"finding":[48],"that":[51],"are":[52,84,108,113],"on":[53,72],"road":[55],"might":[57],"cause":[58],"an":[59,124,153],"accident.":[60],"A":[61,91],"saliency":[62],"map":[63,83],"generated":[65],"based":[71],"intensity,":[73],"orientation":[76],"features.":[77],"salient":[79],"this":[82],"considered":[85],"be":[87,158],"interest.":[90],"database":[92],"compiled":[94],"number":[98],"images":[100],"containing":[101,152],"different":[102],"four-legged":[103],"animals.":[105,143],"Relevant":[106],"features":[107],"extracted":[109],"these":[111],"used":[114,131],"train":[116],"Support":[117],"Vector":[118],"Machine":[119],"classifiers.":[120],"These":[121],"classifiers":[122],"provide":[123],"accuracy":[125],"above":[127],"90%":[128],"predict":[133],"whether":[134],"or":[135],"not":[136],"selected":[138],"contain":[142],"If":[144],"one":[145],"classified":[150],"as":[151],"animal,":[154],"warning":[156],"can":[157],"signaled.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}