{"id":"https://openalex.org/W2169120285","doi":"https://doi.org/10.1109/asap.2013.6567580","title":"A comparison of correntropy-based feature tracking on FPGAs and GPUs","display_name":"A comparison of correntropy-based feature tracking on FPGAs and GPUs","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2169120285","doi":"https://doi.org/10.1109/asap.2013.6567580","mag":"2169120285"},"language":"en","primary_location":{"id":"doi:10.1109/asap.2013.6567580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asap.2013.6567580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 24th International Conference on Application-Specific Systems, Architectures and Processors","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/A5008939745","display_name":"Patrick Cooke","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Patrick Cooke","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016246137","display_name":"Jeremy Fowers","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeremy Fowers","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088031457","display_name":"Greg Stitt","orcid":"https://orcid.org/0000-0001-7159-7439"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Greg Stitt","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052228724","display_name":"Lee Hunt","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138064","display_name":"Prioria Robotics (United States)","ror":"https://ror.org/03nyrwp51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210138064"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lee Hunt","raw_affiliation_strings":["Prioria, Inc., Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Prioria, Inc., Gainesville, FL, USA","institution_ids":["https://openalex.org/I4210138064"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008939745"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.3455,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65236798,"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":"237","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.798864483833313},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7937466502189636},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6919010877609253},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.5290300846099854},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5142266750335693},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5136603713035583},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.49756959080696106},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.459847092628479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4292200207710266},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4260307848453522},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.27231621742248535},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.26340430974960327},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08018192648887634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.798864483833313},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7937466502189636},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6919010877609253},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.5290300846099854},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5142266750335693},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5136603713035583},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.49756959080696106},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.459847092628479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4292200207710266},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4260307848453522},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.27231621742248535},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.26340430974960327},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08018192648887634},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/asap.2013.6567580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asap.2013.6567580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 24th International Conference on Application-Specific Systems, Architectures and Processors","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2021323946","https://openalex.org/W2109857912","https://openalex.org/W2116141292","https://openalex.org/W2135160607","https://openalex.org/W2142401087","https://openalex.org/W2154991996","https://openalex.org/W6655740193"],"related_works":["https://openalex.org/W3062287","https://openalex.org/W2380390332","https://openalex.org/W2742145873","https://openalex.org/W2023572661","https://openalex.org/W4245975140","https://openalex.org/W2532592438","https://openalex.org/W1977763331","https://openalex.org/W2062253548","https://openalex.org/W4225414539","https://openalex.org/W4289522463"],"abstract_inverted_index":{"Embedded":[0],"signal-processing":[1],"applications":[2],"often":[3,114],"require":[4],"feature":[5],"tracking":[6],"to":[7,57],"identify":[8],"and":[9,80],"track":[10],"the":[11,83,86,99,118],"motion":[12],"of":[13,20,24,38,90],"different":[14],"objects":[15],"(features)":[16],"across":[17],"a":[18,78],"sequence":[19],"images.":[21],"Common":[22],"measures":[23],"similarity":[25],"for":[26,46,70,93,106],"real-time":[27,91],"usage":[28,92],"are":[29,42],"either":[30],"based":[31],"on":[32],"correlation,":[33],"mean-squared":[34],"error,":[35],"or":[36],"sum":[37],"absolute":[39],"differences,":[40],"which":[41],"not":[43],"robust":[44],"enough":[45],"safety-critical":[47],"applications.":[48],"A":[49],"recent":[50],"feature-tracking":[51],"algorithm":[52],"called":[53],"C-Flow":[54,71],"uses":[55],"correntropy":[56],"significantly":[58],"improve":[59],"signal-to-noise":[60],"ratio.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65,97],"present":[66],"an":[67],"FPGA":[68,84,100],"accelerator":[69,101],"that":[72,82,112],"is":[73,85,102,113],"typically":[74],"2-7x":[75],"faster":[76],"than":[77,117],"GPU":[79],"show":[81,98],"only":[87],"device":[88],"capable":[89],"large":[94],"features.":[95],"Furthermore,":[96],"generally":[103],"more":[104],"appropriate":[105],"embedded":[107],"usage,":[108],"with":[109],"energy":[110],"consumption":[111],"1.2-7.9x":[115],"less":[116],"GPU.":[119]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}