{"id":"https://openalex.org/W2048719300","doi":"https://doi.org/10.1109/iros.2012.6385625","title":"Real-time vehicle detection with a single camera using shadow segmentation and temporal verification","display_name":"Real-time vehicle detection with a single camera using shadow segmentation and temporal verification","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2048719300","doi":"https://doi.org/10.1109/iros.2012.6385625","mag":"2048719300"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2012.6385625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2012.6385625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5064578348","display_name":"Dennis Rosebrock","orcid":null},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dennis Rosebrock","raw_affiliation_strings":["Institut f\u00fcr Robotik und Prozessinformatik, Technische Universit\u00e4t Braunschweig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Robotik und Prozessinformatik, Technische Universit\u00e4t Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064375423","display_name":"Markus Rilk","orcid":null},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Rilk","raw_affiliation_strings":["Institut f\u00fcr Robotik und Prozessinformatik, Technische Universit\u00e4t Braunschweig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Robotik und Prozessinformatik, Technische Universit\u00e4t Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8329,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75329261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"40","issue":null,"first_page":"3061","last_page":"3066"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9970999956130981,"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-vision","display_name":"Computer vision","score":0.8395285606384277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.833115816116333},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.8175137042999268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7632613778114319},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6491486430168152},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5305334329605103},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.516521155834198},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4824107885360718},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.46831685304641724},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.41408392786979675},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.4140758514404297},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26137953996658325}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8395285606384277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.833115816116333},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8175137042999268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7632613778114319},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6491486430168152},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5305334329605103},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.516521155834198},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4824107885360718},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.46831685304641724},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.41408392786979675},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.4140758514404297},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26137953996658325},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2012.6385625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2012.6385625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1522426696","https://openalex.org/W1719450242","https://openalex.org/W1967659990","https://openalex.org/W1991742456","https://openalex.org/W2080801496","https://openalex.org/W2125147620","https://openalex.org/W2126452053","https://openalex.org/W2133013499","https://openalex.org/W2136767008","https://openalex.org/W2158756768","https://openalex.org/W2163814366","https://openalex.org/W2258035629","https://openalex.org/W6670786641","https://openalex.org/W6679160085"],"related_works":["https://openalex.org/W3213997683","https://openalex.org/W2995270189","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","https://openalex.org/W2027891072"],"abstract_inverted_index":{"Vehicle":[0],"detection":[1],"with":[2,93],"a":[3,11,49,56,94],"monocular":[4,107],"video":[5,127],"sensor":[6],"offers":[7],"significant":[8],"potential":[9],"in":[10,23,31,41,55,123],"wide":[12],"area":[13],"of":[14,101],"promising":[15],"automotive":[16],"applications.":[17],"In":[18,58],"this":[19],"work":[20],"the":[21,44,75,82],"shadows":[22,54],"daylight":[24],"scenes":[25],"are":[26,70,91],"used":[27],"to":[28,43,60,84],"detect":[29],"vehicles":[30],"low-quality":[32],"camera":[33],"images":[34],"and":[35,39,80,111],"determine":[36],"their":[37],"positions":[38],"velocities":[40],"relation":[42],"own":[45],"vehicle.":[46],"We":[47],"propose":[48],"new":[50],"algorithm":[51,116],"that":[52],"segments":[53],"top-down-view.":[57],"contrast":[59],"other":[61],"works":[62,117],"no":[63],"specific":[64],"thresholds":[65,79],"or":[66],"strong":[67],"shadow":[68],"edges":[69],"needed.":[71],"Instead":[72],"we":[73],"binarize":[74],"image":[76],"at":[77,125],"multiple":[78],"analyze":[81],"results":[83],"generate":[85],"vehicle":[86],"position":[87],"hypotheses.":[88],"These":[89],"hypotheses":[90],"verified":[92],"RANSAC-based":[95],"temporal":[96],"verification":[97],"approach.":[98],"The":[99],"accuracy":[100],"our":[102],"method":[103],"is":[104],"evaluated":[105],"using":[106],"real":[108],"world":[109],"sequences":[110],"ground":[112],"truth":[113],"data.":[114],"Our":[115],"robustly":[118],"under":[119],"various":[120],"lighting":[121],"conditions":[122],"real-time":[124],"full":[126],"frame":[128],"rate.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
