{"id":"https://openalex.org/W2156710385","doi":"https://doi.org/10.1145/2539036.2539050","title":"A hardware architecture for real-time object detection using depth and edge information","display_name":"A hardware architecture for real-time object detection using depth and edge information","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2156710385","doi":"https://doi.org/10.1145/2539036.2539050","mag":"2156710385"},"language":"en","primary_location":{"id":"doi:10.1145/2539036.2539050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2539036.2539050","pdf_url":null,"source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-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/A5085843780","display_name":"Christos Kyrkou","orcid":"https://orcid.org/0000-0002-7926-7642"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"Christos Kyrkou","raw_affiliation_strings":["University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056790450","display_name":"Christos Ttofis","orcid":"https://orcid.org/0000-0001-8788-4053"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Christos Ttofis","raw_affiliation_strings":["University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041366767","display_name":"Theocharis Theocharides","orcid":"https://orcid.org/0000-0001-7222-9152"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Theocharis Theocharides","raw_affiliation_strings":["University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085843780"],"corresponding_institution_ids":["https://openalex.org/I34771391"],"apc_list":null,"apc_paid":null,"fwci":1.1046,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8216947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"13","issue":"3","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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":0.9994000196456909,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/computer-science","display_name":"Computer science","score":0.8824639320373535},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6665253639221191},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.6136913299560547},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6013829708099365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.599891722202301},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5647212266921997},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5521777272224426},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5054607391357422},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5009233951568604},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.48620694875717163},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.46394845843315125},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4270760715007782},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.42119327187538147},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4001430571079254},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.37949225306510925},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29755744338035583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2233123779296875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8824639320373535},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6665253639221191},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.6136913299560547},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6013829708099365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.599891722202301},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5647212266921997},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5521777272224426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5054607391357422},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5009233951568604},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.48620694875717163},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.46394845843315125},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4270760715007782},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.42119327187538147},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4001430571079254},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37949225306510925},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29755744338035583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2233123779296875},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2539036.2539050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2539036.2539050","pdf_url":null,"source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W26816478","https://openalex.org/W1550616004","https://openalex.org/W1555614281","https://openalex.org/W1773989760","https://openalex.org/W2023618735","https://openalex.org/W2044725905","https://openalex.org/W2085754326","https://openalex.org/W2093102539","https://openalex.org/W2097918186","https://openalex.org/W2098606213","https://openalex.org/W2107565661","https://openalex.org/W2111187045","https://openalex.org/W2120284346","https://openalex.org/W2121846372","https://openalex.org/W2123472193","https://openalex.org/W2124351082","https://openalex.org/W2129097904","https://openalex.org/W2136328870","https://openalex.org/W2136559873","https://openalex.org/W2139212933","https://openalex.org/W2143032792","https://openalex.org/W2146851106","https://openalex.org/W2148588693","https://openalex.org/W2151147209","https://openalex.org/W2160821342","https://openalex.org/W2167943332","https://openalex.org/W2169984876","https://openalex.org/W2582998992","https://openalex.org/W2913245236","https://openalex.org/W2993281142","https://openalex.org/W3097096317","https://openalex.org/W3193477162","https://openalex.org/W4229655397","https://openalex.org/W4235407707","https://openalex.org/W4236965008","https://openalex.org/W4237080436","https://openalex.org/W4240745469","https://openalex.org/W4301910720"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W4200391368","https://openalex.org/W2355315220","https://openalex.org/W2210979487","https://openalex.org/W2074043759","https://openalex.org/W2373535795","https://openalex.org/W2082487009","https://openalex.org/W2406926880","https://openalex.org/W4387272257","https://openalex.org/W4310880131"],"abstract_inverted_index":{"Emerging":[0],"embedded":[1,48],"3D":[2],"vision":[3],"systems":[4,31],"for":[5,126,183,191,197,204],"robotics":[6],"and":[7,26,35,108,113,136,155,201],"security":[8],"applications":[9],"utilize":[10],"object":[11,61,72,98,129],"detection":[12,157],"to":[13,19,79,87,121,209],"perform":[14],"video":[15],"analysis":[16],"in":[17,60,69,97,152],"order":[18],"intelligently":[20],"interact":[21],"with":[22,47,140,169],"their":[23],"host":[24],"environment":[25],"take":[27],"appropriate":[28],"actions.":[29],"Such":[30],"have":[32],"high":[33,36],"performance":[34],"detection-accuracy":[37],"demands,":[38],"while":[39,212],"requiring":[40],"low":[41],"energy":[42],"consumption,":[43],"especially":[44],"when":[45],"dealing":[46],"mobile":[49],"systems.":[50],"However,":[51],"there":[52],"is":[53,85,176],"a":[54,106,114,141,184],"large":[55],"image":[56,187],"search":[57,94,111],"space":[58,95],"involved":[59,96],"detection,":[62],"primarily":[63],"because":[64],"of":[65,134,166,178,186],"the":[66,93,173,214],"different":[67],"sizes":[68,188],"which":[70,75],"an":[71,123,148],"may":[73],"appear,":[74],"makes":[76],"it":[77,84,120],"difficult":[78],"meet":[80,88],"these":[81],"demands.":[82],"Hence,":[83],"possible":[86],"such":[89],"constraints":[90],"by":[91,217],"reducing":[92,213],"detection.":[99,130],"To":[100],"this":[101,103],"end,":[102],"article":[104],"proposes":[105],"depth":[107,135],"edge":[109,137],"accelerated":[110],"method":[112],"dedicated":[115],"hardware":[116,132],"architecture":[117,161,175],"that":[118,172],"implements":[119],"provide":[122],"efficient":[124],"platform":[125],"generic":[127],"real-time":[128,180],"The":[131,159],"integration":[133],"processing":[138],"mechanisms,":[139],"support":[142],"vector":[143],"machine":[144],"classification":[145],"core":[146],"onto":[147],"FPGA":[149],"platform,":[150],"results":[151,170],"significant":[153],"speed-ups":[154],"improved":[156],"accuracy.":[158],"proposed":[160,174],"was":[162],"evaluated":[163],"using":[164],"images":[165],"various":[167],"sizes,":[168],"indicating":[171],"capable":[177],"achieving":[179],"frame":[181],"rates":[182],"variety":[185],"(271":[189],"fps":[190,196,203],"320":[192],"\u00d7":[193,199,206],"240,":[194],"42":[195],"640":[198],"480,":[200],"23":[202],"800":[205],"600)":[207],"compared":[208],"existing":[210],"works,":[211],"false-positive":[215],"rate":[216],"52%.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}