{"id":"https://openalex.org/W2114367927","doi":"https://doi.org/10.1109/avss.2005.1577253","title":"Robust vehicle detection approach","display_name":"Robust vehicle detection approach","publication_year":2006,"publication_date":"2006-01-25","ids":{"openalex":"https://openalex.org/W2114367927","doi":"https://doi.org/10.1109/avss.2005.1577253","mag":"2114367927"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2005.1577253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2005.1577253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, 2005.","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/A5053857348","display_name":"Yuan-Kai Wang","orcid":"https://orcid.org/0000-0002-0676-5886"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yuan-Kai Wang","raw_affiliation_strings":["Department of Electronic Engineering, Fu Jen Catholic University, Taiwan","Dept. of Electron. Eng., Fu Jen Catholic Univ., Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Fu Jen Catholic University, Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Fu Jen Catholic Univ., Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100335696","display_name":"Shaohua Chen","orcid":"https://orcid.org/0000-0003-3347-4432"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shao-Hua Chen","raw_affiliation_strings":["Department of Electronic Engineering, Fu Jen Catholic University, Taiwan","Dept. of Electron. Eng., Fu Jen Catholic Univ., Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Fu Jen Catholic University, Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Fu Jen Catholic Univ., Taiwan","institution_ids":["https://openalex.org/I114150738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114150738"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9977999925613403,"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/T11019","display_name":"Image Enhancement Techniques","score":0.996999979019165,"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":0.8114893436431885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7950325012207031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7420761585235596},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.7138862609863281},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5965780019760132},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5582886338233948},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5229976177215576},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5046447515487671},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.45136335492134094},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.44763949513435364},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4133804738521576},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17093273997306824}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8114893436431885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7950325012207031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7420761585235596},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7138862609863281},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5965780019760132},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5582886338233948},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5229976177215576},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5046447515487671},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.45136335492134094},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.44763949513435364},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4133804738521576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17093273997306824},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2005.1577253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2005.1577253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1658679052","https://openalex.org/W1887887144","https://openalex.org/W2004217976","https://openalex.org/W2095641144","https://openalex.org/W2102124806","https://openalex.org/W2102625004","https://openalex.org/W2111319855","https://openalex.org/W2111351552","https://openalex.org/W2122679244","https://openalex.org/W2124798378","https://openalex.org/W2137519983","https://openalex.org/W2149593394","https://openalex.org/W4214540058","https://openalex.org/W6639449468","https://openalex.org/W6675235856"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2730764323","https://openalex.org/W3123806511","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Vehicle":[0],"detection":[1],"plays":[2],"an":[3,45],"important":[4],"role":[5],"in":[6,39],"the":[7,73],"intelligent":[8],"transportation":[9],"system.":[10],"In":[11],"this":[12],"paper,":[13],"we":[14],"propose":[15],"a":[16,21,85],"novel":[17],"approach":[18,98],"which":[19],"performs":[20],"spatio-temporal":[22],"wavelet":[23,74],"transform":[24,75],"on":[25],"videos":[26,108],"to":[27,43,62,89,101],"obtain":[28,90],"motion":[29,36,47,51],"information":[30,37],"of":[31,35,94],"vehicles.":[32,95],"Different":[33],"kinds":[34],"extracted":[38],"sub-bands":[40],"are":[41,109],"combined":[42],"form":[44],"additive":[46,50],"image.":[48],"The":[49,66,96],"image":[52],"is":[53,69,99],"then":[54],"processed":[55],"by":[56],"adaptive":[57],"thresholding,":[58],"connected":[59],"components":[60],"labeling":[61],"segment":[63],"moving":[64,67,92],"region.":[65],"region":[68],"not":[70],"accurate":[71],"since":[72],"references":[76],"many":[77],"consecutive":[78],"frames":[79],"along":[80],"temporal":[81],"domain.":[82],"We":[83],"present":[84],"location":[86],"calibration":[87],"method":[88],"precise":[91],"regions":[93],"proposed":[97],"tolerant":[100],"cast":[102],"shadow":[103],"and":[104,113,120],"camera":[105],"vibration.":[106],"Experimental":[107,115],"captured":[110],"from":[111],"roadway":[112],"expressway.":[114],"results":[116],"show":[117],"high":[118],"precision":[119],"recall":[121],"rates.":[122]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}