{"id":"https://openalex.org/W2110216626","doi":"https://doi.org/10.1109/icassp.2006.1660325","title":"A Vlsi-Implementation-Friendly EGO-Motion Detection Algorithm Based on Edge-Histogram Matching","display_name":"A Vlsi-Implementation-Friendly EGO-Motion Detection Algorithm Based on Edge-Histogram Matching","publication_year":2006,"publication_date":"2006-08-02","ids":{"openalex":"https://openalex.org/W2110216626","doi":"https://doi.org/10.1109/icassp.2006.1660325","mag":"2110216626"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1660325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","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/A5101699454","display_name":"Jia Hao","orcid":"https://orcid.org/0000-0003-1159-1216"},"institutions":[{"id":"https://openalex.org/I3133035077","display_name":"Ube Frontier University","ror":"https://ror.org/03sgcr744","country_code":"JP","type":"education","lineage":["https://openalex.org/I3133035077"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jia Hao","raw_affiliation_strings":["School of Frontier Science, Department of Frontier Informatics, University of Tokyo, Bunkyo, Tokyo, Japan","Dept. of Frontier Inf., Tokyo Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Frontier Science, Department of Frontier Informatics, University of Tokyo, Bunkyo, Tokyo, Japan","institution_ids":["https://openalex.org/I3133035077","https://openalex.org/I74801974"]},{"raw_affiliation_string":"Dept. of Frontier Inf., Tokyo Univ","institution_ids":["https://openalex.org/I3133035077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111934278","display_name":"T. Shibata","orcid":null},"institutions":[{"id":"https://openalex.org/I3133035077","display_name":"Ube Frontier University","ror":"https://ror.org/03sgcr744","country_code":"JP","type":"education","lineage":["https://openalex.org/I3133035077"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Shibata","raw_affiliation_strings":["School of Frontier Science, Department of Frontier Informatics, University of Tokyo, Bunkyo, Tokyo, Japan","Dept. of Frontier Inf., Tokyo Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Frontier Science, Department of Frontier Informatics, University of Tokyo, Bunkyo, Tokyo, Japan","institution_ids":["https://openalex.org/I3133035077","https://openalex.org/I74801974"]},{"raw_affiliation_string":"Dept. of Frontier Inf., Tokyo Univ","institution_ids":["https://openalex.org/I3133035077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4846,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89889968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11439","display_name":"Video Analysis and Summarization","score":0.9976000189781189,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/thresholding","display_name":"Thresholding","score":0.7371225357055664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7250813245773315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7123603820800781},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6814365983009338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6340311765670776},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.5720792412757874},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5521223545074463},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5371848344802856},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.529843807220459},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5085080862045288},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.4594162106513977},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4514344334602356},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38560330867767334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3272973895072937},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2772577404975891},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.22939899563789368},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08309030532836914}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7371225357055664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7250813245773315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7123603820800781},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6814365983009338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6340311765670776},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.5720792412757874},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5521223545074463},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5371848344802856},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.529843807220459},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5085080862045288},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.4594162106513977},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4514344334602356},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38560330867767334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3272973895072937},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2772577404975891},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.22939899563789368},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08309030532836914},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2006.1660325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335829","display_name":"Otto von Guericke University Magdeburg","ror":"https://ror.org/00ggpsq73"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1965637662","https://openalex.org/W2111523736","https://openalex.org/W2116272204","https://openalex.org/W2136401082","https://openalex.org/W2144746551","https://openalex.org/W2173935647","https://openalex.org/W2567052870"],"related_works":["https://openalex.org/W839483973","https://openalex.org/W4250500397","https://openalex.org/W1604953040","https://openalex.org/W1969136679","https://openalex.org/W4241657933","https://openalex.org/W2123542128","https://openalex.org/W2133010564","https://openalex.org/W2130548098","https://openalex.org/W2114935989","https://openalex.org/W2380461545"],"abstract_inverted_index":{"An":[0,37],"ego-motion":[1,102],"detection":[2,16],"algorithm":[3,12],"compatible":[4],"to":[5,25,55,61],"hardware":[6],"implementation":[7],"has":[8,86],"been":[9,87],"developed.":[10],"The":[11],"utilizes":[13],"local":[14,27,46],"motion":[15,39],"scheme":[17],"based":[18],"on":[19],"edge-histogram":[20],"matching,":[21],"which":[22],"enables":[23],"us":[24],"detect":[26],"motions":[28],"robustly":[29],"in":[30,33,75],"segmented":[31],"blocks":[32],"a":[34],"visual":[35],"field.":[36],"18-dimension":[38],"field":[40],"vector":[41,50],"is":[42,52],"generated":[43,97],"by":[44,90],"summarizing":[45],"motions.":[47],"Then":[48],"the":[49,57,76],"quantization":[51],"carried":[53],"out":[54],"recognize":[56],"ego-motion.":[58],"In":[59,78],"order":[60],"achieve":[62],"further":[63],"robustness,":[64],"two":[65],"thresholding":[66,69],"techniques,":[67],"block":[68],"and":[70],"median":[71],"processing,":[72],"are":[73],"employed":[74],"procedure.":[77],"computer":[79],"simulation,":[80],"over":[81],"93%":[82],"of":[83,100],"detecting":[84],"accuracy":[85],"experimentally":[88],"demonstrated":[89],"template":[91,95],"matching":[92],"using":[93],"30":[94],"vectors":[96],"from":[98],"each":[99],"four":[101],"types.":[103]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
