{"id":"https://openalex.org/W2030611167","doi":"https://doi.org/10.1109/ivs.2010.5548006","title":"A new anti-aliasing approach for improved motion-based object detection using linear filters","display_name":"A new anti-aliasing approach for improved motion-based object detection using linear filters","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2030611167","doi":"https://doi.org/10.1109/ivs.2010.5548006","mag":"2030611167"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2010.5548006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2010.5548006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Intelligent Vehicles Symposium","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/A5023884014","display_name":"Sam Schauland","orcid":null},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sam Schauland","raw_affiliation_strings":["Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany","Faculty of Electrical, Information and Media Engineering, University of Wuppertal, 42097, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]},{"raw_affiliation_string":"Faculty of Electrical, Information and Media Engineering, University of Wuppertal, 42097, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113523279","display_name":"Joerg Velten","orcid":null},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joerg Velten","raw_affiliation_strings":["Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany","Faculty of Electrical, Information and Media Engineering, University of Wuppertal, 42097, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]},{"raw_affiliation_string":"Faculty of Electrical, Information and Media Engineering, University of Wuppertal, 42097, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080666933","display_name":"Anton Kummert","orcid":"https://orcid.org/0000-0002-0282-5087"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anton Kummert","raw_affiliation_strings":["Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany","Faculty of Electrical, Information and Media Engineering, University of Wuppertal, 42097, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]},{"raw_affiliation_string":"Faculty of Electrical, Information and Media Engineering, University of Wuppertal, 42097, Germany","institution_ids":["https://openalex.org/I167360494"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023884014"],"corresponding_institution_ids":["https://openalex.org/I167360494"],"apc_list":null,"apc_paid":null,"fwci":0.6374,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69674473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"cas 34","issue":null,"first_page":"915","last_page":"920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.7328734397888184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.701945960521698},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6626476645469666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6236226558685303},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5833702683448792},{"id":"https://openalex.org/keywords/anti-aliasing","display_name":"Anti-aliasing","score":0.5190318822860718},{"id":"https://openalex.org/keywords/anti-aliasing-filter","display_name":"Anti-aliasing filter","score":0.5126808881759644},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49696972966194153},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4920463263988495},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.48722973465919495},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42784279584884644},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.42400527000427246},{"id":"https://openalex.org/keywords/linear-filter","display_name":"Linear filter","score":0.41256043314933777},{"id":"https://openalex.org/keywords/low-pass-filter","display_name":"Low-pass filter","score":0.30202609300613403},{"id":"https://openalex.org/keywords/band-stop-filter","display_name":"Band-stop filter","score":0.2872934937477112},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.26276108622550964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18327021598815918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17681020498275757},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.13170617818832397},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.08222392201423645}],"concepts":[{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.7328734397888184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.701945960521698},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6626476645469666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6236226558685303},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5833702683448792},{"id":"https://openalex.org/C534633266","wikidata":"https://www.wikidata.org/wiki/Q4774317","display_name":"Anti-aliasing","level":5,"score":0.5190318822860718},{"id":"https://openalex.org/C146826852","wikidata":"https://www.wikidata.org/wiki/Q604241","display_name":"Anti-aliasing filter","level":5,"score":0.5126808881759644},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49696972966194153},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4920463263988495},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.48722973465919495},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42784279584884644},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.42400527000427246},{"id":"https://openalex.org/C139722471","wikidata":"https://www.wikidata.org/wiki/Q2619517","display_name":"Linear filter","level":3,"score":0.41256043314933777},{"id":"https://openalex.org/C44682112","wikidata":"https://www.wikidata.org/wiki/Q918242","display_name":"Low-pass filter","level":3,"score":0.30202609300613403},{"id":"https://openalex.org/C112806600","wikidata":"https://www.wikidata.org/wiki/Q386022","display_name":"Band-stop filter","level":4,"score":0.2872934937477112},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.26276108622550964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18327021598815918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17681020498275757},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.13170617818832397},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.08222392201423645},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2010.5548006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2010.5548006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Intelligent Vehicles Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W221566632","https://openalex.org/W1533155545","https://openalex.org/W1971821312","https://openalex.org/W1972580129","https://openalex.org/W1988839668","https://openalex.org/W2002010034","https://openalex.org/W2051053611","https://openalex.org/W2068884204","https://openalex.org/W2099652181","https://openalex.org/W2109200497","https://openalex.org/W2125936306","https://openalex.org/W2132150310","https://openalex.org/W2164292440","https://openalex.org/W3015259760","https://openalex.org/W4302313560","https://openalex.org/W6775644976"],"related_works":["https://openalex.org/W2016506074","https://openalex.org/W1535321363","https://openalex.org/W2038364114","https://openalex.org/W4384499572","https://openalex.org/W1982404340","https://openalex.org/W2155306024","https://openalex.org/W4299561129","https://openalex.org/W2350709516","https://openalex.org/W2319798727","https://openalex.org/W3185927242"],"abstract_inverted_index":{"In":[0,140],"this":[1,168],"paper":[2],"a":[3,36,77,182,186],"new":[4,174],"anti-aliasing":[5],"approach":[6,165,175],"for":[7,35,54,130],"motion-based":[8],"object":[9,94],"detection":[10,29,95],"using":[11,74,98,163,178],"linear":[12,75,99],"shift":[13,100],"invariant":[14,101],"(LSI)":[15,102],"filters":[16,76],"is":[17,103,106,176],"presented.":[18],"Mainly":[19],"originating":[20],"from":[21],"the":[22,48,89,110,115,121,124,137,156,164,173],"field":[23],"of":[24,33,45,81,84,88,114,172],"signal":[25,117],"processing,":[26],"LSI-filter-based":[27],"motion":[28],"has":[30],"been":[31,52],"topic":[32],"research":[34],"long":[37],"time,":[38],"though":[39],"due":[40],"to":[41,120],"low":[42,111],"computational":[43],"power":[44],"contemporary":[46],"computers":[47],"developed":[49],"systems":[50],"have":[51],"unfeasible":[53],"application":[55],"in":[56,66,68,136,167,185],"mass":[57],"products":[58],"like":[59],"driver":[60],"assistance":[61],"systems.":[62],"However,":[63],"recent":[64],"progress":[65],"hardware":[67],"conjunction":[69],"with":[70],"decreasing":[71],"costs":[72],"makes":[73],"very":[78],"interesting":[79],"alternative":[80],"increasing":[82],"performance":[83],"common":[85],"approaches.":[86],"One":[87],"most":[90],"important":[91],"factors":[92],"falsifying":[93],"results":[96],"obtained":[97],"aliasing.":[104],"This":[105],"mostly":[107],"caused":[108],"by":[109,181],"temporal":[112],"resolution":[113],"camera":[116,183],"which":[118],"leads":[119],"fact":[122],"that":[123],"sampling":[125],"theorem":[126],"does":[127],"not":[128],"hold":[129],"objects":[131],"moving":[132],"at":[133],"high":[134],"speed":[135],"image":[138],"plane.":[139],"general,":[141],"aliasing":[142],"errors":[143],"cannot":[144],"be":[145,160],"removed":[146],"after":[147],"sampling.":[148],"Under":[149],"certain":[150],"conditions,":[151],"however,":[152],"their":[153],"impact":[154],"on":[155],"filter":[157],"result":[158],"can":[159],"successfully":[161],"decreased":[162],"presented":[166],"paper.":[169],"The":[170],"applicability":[171],"demonstrated":[177],"scenes":[179],"recorded":[180],"installed":[184],"blind":[187],"spot":[188],"warning":[189],"system.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}