{"id":"https://openalex.org/W1990038339","doi":"https://doi.org/10.1109/sisy.2012.6339546","title":"Influence of image compression on cascade classifier components","display_name":"Influence of image compression on cascade classifier components","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W1990038339","doi":"https://doi.org/10.1109/sisy.2012.6339546","mag":"1990038339"},"language":"en","primary_location":{"id":"doi:10.1109/sisy.2012.6339546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sisy.2012.6339546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics","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/A5066318691","display_name":"Raimar Wagner","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Raimar Wagner","raw_affiliation_strings":["Universit\u00e4t Ulm, Ulm, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Ulm, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056295531","display_name":"Markus Thom","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Thom","raw_affiliation_strings":["University of Ulm, Institute of Measurement, Control and Microtechnology, Ulm, Germany","University of Ulm, Institute of Measurement, Control and Microtechnology, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ulm, Institute of Measurement, Control and Microtechnology, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"University of Ulm, Institute of Measurement, Control and Microtechnology, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109978166","display_name":"Roland Schweiger","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roland Schweiger","raw_affiliation_strings":["Daimler AG, Group Research & Advanced Engineering, Ulm, Germany","[Daimler AG, Group research and Advanced Engineering, Ulm, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daimler AG, Group Research & Advanced Engineering, Ulm, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"[Daimler AG, Group research and Advanced Engineering, Ulm, Germany]","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013575926","display_name":"Michael Gabb","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]},{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Gabb","raw_affiliation_strings":["Daimler AG, Group Research & Advanced Engineering, Ulm, Germany","University of Ulm, Institute of Measurement, Control and Microtechnology, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daimler AG, Group Research & Advanced Engineering, Ulm, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"University of Ulm, Institute of Measurement, Control and Microtechnology, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036392612","display_name":"Amrei Rohlig","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Amrei Rohlig","raw_affiliation_strings":["Daimler AG, Group Research & Advanced Engineering, Ulm, Germany","[Daimler AG, Group research and Advanced Engineering, Ulm, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daimler AG, Group Research & Advanced Engineering, Ulm, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"[Daimler AG, Group research and Advanced Engineering, Ulm, Germany]","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112718098","display_name":"Albrecht Rothermel","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Albrecht Rothermel","raw_affiliation_strings":["University of Ulm, Institute of Microelectronics, Ulm, Germany","University of Ulm,Institute of Microelectronics,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ulm, Institute of Microelectronics, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"University of Ulm,Institute of Microelectronics,Germany","institution_ids":["https://openalex.org/I196349391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08387526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"367","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9965000152587891,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9962000250816345,"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":0.7631898522377014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7570026516914368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6637919545173645},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6180658936500549},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5712518692016602},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.533157467842102},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.4587351381778717},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.45639723539352417},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44153448939323425},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4410395622253418},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.43742474913597107},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.41523227095603943},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.412035197019577},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28410735726356506},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19239646196365356},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.14589247107505798},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10965850949287415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7631898522377014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7570026516914368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6637919545173645},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6180658936500549},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5712518692016602},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.533157467842102},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.4587351381778717},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.45639723539352417},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44153448939323425},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4410395622253418},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.43742474913597107},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.41523227095603943},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.412035197019577},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28410735726356506},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19239646196365356},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.14589247107505798},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10965850949287415},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sisy.2012.6339546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sisy.2012.6339546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1508476227","https://openalex.org/W1574635766","https://openalex.org/W2024046085","https://openalex.org/W2059192095","https://openalex.org/W2076212085","https://openalex.org/W2091101921","https://openalex.org/W2092238129","https://openalex.org/W2104334752","https://openalex.org/W2110333885","https://openalex.org/W2115763357","https://openalex.org/W2116589437","https://openalex.org/W2118810648","https://openalex.org/W2120907774","https://openalex.org/W2127134276","https://openalex.org/W2133775549","https://openalex.org/W2147000487","https://openalex.org/W2150911888","https://openalex.org/W2163814717","https://openalex.org/W2170023599","https://openalex.org/W3097096317","https://openalex.org/W3214102110","https://openalex.org/W6673520855","https://openalex.org/W6677105820"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4312724860","https://openalex.org/W2747406033"],"abstract_inverted_index":{"Bandwidth":[0],"restrictions":[1],"and":[2,57,66],"increasing":[3],"data":[4],"volumes":[5],"in":[6,41],"the":[7,36,74,84,91],"transmission":[8],"path":[9],"of":[10,83,93,102],"automotive":[11],"driver":[12],"assistance":[13],"systems":[14],"make":[15],"video":[16],"compression":[17,24],"unavoidable":[18],"for":[19,29,45,68],"future":[20],"applications.":[21],"Conventional":[22],"image":[23,78],"algorithms":[25],"are":[26],"solely":[27],"tuned":[28],"optimal":[30],"human":[31],"perception.":[32],"This":[33],"paper":[34],"studies":[35],"effect":[37],"on":[38,76],"features":[39,56,103],"used":[40],"discriminative":[42],"cascade":[43],"classifiers":[44],"nighttime":[46],"pedestrian":[47],"desection,":[48],"namely":[49],"Haar":[50],"wavelet":[51],"features,":[52],"Edge":[53],"Orientation":[54],"Histogram":[55],"Standard":[58],"deviation":[59],"features.":[60],"The":[61],"induced":[62],"error":[63],"is":[64,87],"modeled":[65],"evaluated":[67],"these":[69],"feature":[70,79,95],"classes.":[71],"By":[72],"approximating":[73],"noise":[75],"specific":[77,94],"instances,":[80],"a":[81,99],"re-adaption":[82],"decision":[85],"boundaries":[86],"possible.":[88],"Knowing":[89],"about":[90],"sensitivity":[92],"classes":[96],"allows":[97],"selecting":[98],"robust":[100],"set":[101],"prior":[104],"to":[105],"classifier":[106],"training.":[107]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
