{"id":"https://openalex.org/W2736228988","doi":"https://doi.org/10.1109/ijcnn.2017.7966404","title":"Following the leader using a tracking system based on pre-trained deep neural networks","display_name":"Following the leader using a tracking system based on pre-trained deep neural networks","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2736228988","doi":"https://doi.org/10.1109/ijcnn.2017.7966404","mag":"2736228988"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5064310592","display_name":"Filipe Mutz","orcid":"https://orcid.org/0000-0002-2951-9207"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Filipe Mutz","raw_affiliation_strings":["Coordination of Informatics, FES, Serra, Brazil"],"affiliations":[{"raw_affiliation_string":"Coordination of Informatics, FES, Serra, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111287136","display_name":"Vinicius Cardoso","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vinicius Cardoso","raw_affiliation_strings":["Department of Informatics, UFES, Vit\u00f3ria, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, UFES, Vit\u00f3ria, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005490970","display_name":"Thomas Teixeira","orcid":"https://orcid.org/0000-0002-4859-1896"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Teixeira","raw_affiliation_strings":["Department of Informatics, UFES, Vit\u00f3ria, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, UFES, Vit\u00f3ria, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088099772","display_name":"Luan Jesus","orcid":"https://orcid.org/0000-0003-1274-2493"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luan F. R. Jesus","raw_affiliation_strings":["Department of Informatics, UFES, Vit\u00f3ria, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, UFES, Vit\u00f3ria, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043204080","display_name":"Michael A. Golcalves","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael A. Golcalves","raw_affiliation_strings":["Department of Informatics, UFES, Vit\u00f3ria, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, UFES, Vit\u00f3ria, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048196131","display_name":"R\u00e2nik Guidolini","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ranik Guidolini","raw_affiliation_strings":["Department of Informatics, UFES, Vit\u00f3ria, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, UFES, Vit\u00f3ria, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056343879","display_name":"Josias Oliveira","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Josias Oliveira","raw_affiliation_strings":["Department of Informatics, UFES, Vit\u00f3ria, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, UFES, Vit\u00f3ria, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056260430","display_name":"Claudine Badu\u00e9","orcid":"https://orcid.org/0000-0003-1810-8581"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Claudine Badue","raw_affiliation_strings":["Department of Informatics, UFES, Vit\u00f3ria, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, UFES, Vit\u00f3ria, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005735333","display_name":"Alberto F. De Souza","orcid":"https://orcid.org/0000-0003-1561-8447"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alberto F. De Souza","raw_affiliation_strings":["Department of Informatics, UFES, Vit\u00f3ria, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, UFES, Vit\u00f3ria, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5064310592"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5461,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.75606169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4332","last_page":"4339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.7688026428222656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6929157972335815},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6318758726119995},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.5902653932571411},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.577365517616272},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5586371421813965},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.531514048576355},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5229887962341309},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.464277446269989},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4579415023326874},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45655930042266846},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.44928833842277527},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4491260051727295},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.43800660967826843},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35677093267440796},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19598916172981262},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08594772219657898},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08315908908843994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08046877384185791}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7688026428222656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6929157972335815},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6318758726119995},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.5902653932571411},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.577365517616272},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5586371421813965},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.531514048576355},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5229887962341309},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.464277446269989},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4579415023326874},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45655930042266846},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.44928833842277527},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4491260051727295},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.43800660967826843},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35677093267440796},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19598916172981262},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08594772219657898},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08315908908843994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08046877384185791},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1554825167","https://openalex.org/W1579508770","https://openalex.org/W1942635339","https://openalex.org/W1968510423","https://openalex.org/W1970620611","https://openalex.org/W2033819227","https://openalex.org/W2073305322","https://openalex.org/W2089644495","https://openalex.org/W2090710139","https://openalex.org/W2098955201","https://openalex.org/W2100782093","https://openalex.org/W2108148000","https://openalex.org/W2115826585","https://openalex.org/W2117112144","https://openalex.org/W2139137304","https://openalex.org/W2152365564","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2168215035","https://openalex.org/W2182358506","https://openalex.org/W2336416123","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2553580816","https://openalex.org/W2564910695","https://openalex.org/W2567454113","https://openalex.org/W2575454692","https://openalex.org/W2734507668","https://openalex.org/W2964253307","https://openalex.org/W3098217967","https://openalex.org/W3106255814","https://openalex.org/W4231720604","https://openalex.org/W4240661838","https://openalex.org/W4243369158","https://openalex.org/W6676136031","https://openalex.org/W6684191040","https://openalex.org/W6686245384"],"related_works":["https://openalex.org/W2789518417","https://openalex.org/W4213217485","https://openalex.org/W2566545183","https://openalex.org/W2499449816","https://openalex.org/W2059085722","https://openalex.org/W4210856988","https://openalex.org/W238145802","https://openalex.org/W2946721565","https://openalex.org/W2801976440","https://openalex.org/W2965594636"],"abstract_inverted_index":{"In":[0,88],"this":[1],"work,":[2],"we":[3,42],"present":[4],"a":[5,30,54,76,84],"software":[6,71],"architecture":[7,72],"to":[8,26,96],"solve,":[9],"at":[10],"some":[11],"level,":[12],"the":[13,15,35,44,91,98],"follow":[14,29,97],"leader":[16,31,36],"problem.":[17],"This":[18],"problem":[19],"consists":[20],"of":[21,60,83,107],"an":[22],"autonomous":[23,78,92],"vehicle":[24,93],"trying":[25],"track":[27,34],"and":[28],"vehicle.":[32],"To":[33],"position":[37],"in":[38,80],"consecutive":[39],"camera":[40],"images,":[41],"employed":[43],"Generic":[45],"Object":[46],"Tracking":[47],"Using":[48],"Regression":[49],"Networks":[50],"(GOTURN).":[51],"GOTURN":[52],"is":[53],"pre-trained":[55],"Deep":[56],"Neural":[57],"Network":[58],"capable":[59],"tracking":[61],"generic":[62],"objects,":[63],"without":[64],"application-specific":[65],"training":[66],"or":[67],"fine-tuning.":[68],"The":[69],"proposed":[70],"was":[73,94],"evaluated":[74],"using":[75],"real":[77],"vehicle,":[79],"four":[81],"stretches":[82],"University":[85],"ring":[86],"road.":[87],"all":[89],"experiments,":[90],"able":[95],"leader's":[99],"path":[100],"with":[101],"maximum":[102],"root":[103],"mean":[104],"square":[105],"error":[106],"0.28m.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}