{"id":"https://openalex.org/W2328877128","doi":"https://doi.org/10.1109/biocas.2014.6981783","title":"Real-time object recognition and orientation estimation using an event-based camera and CNN","display_name":"Real-time object recognition and orientation estimation using an event-based camera and CNN","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2328877128","doi":"https://doi.org/10.1109/biocas.2014.6981783","mag":"2328877128"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2014.6981783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2014.6981783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) 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/A5028037531","display_name":"Rohan Ghosh","orcid":"https://orcid.org/0000-0002-6728-1076"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rohan Ghosh","raw_affiliation_strings":["Singapore Institute for Neurotechnology (SINAPSE), National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute for Neurotechnology (SINAPSE), National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778267","display_name":"Abhishek Mishra","orcid":"https://orcid.org/0009-0002-0209-6176"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Abhishek Mishra","raw_affiliation_strings":["Singapore Institute for Neurotechnology (SINAPSE), National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute for Neurotechnology (SINAPSE), National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045833517","display_name":"Garrick Orchard","orcid":"https://orcid.org/0000-0002-1243-2711"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Garrick Orchard","raw_affiliation_strings":["Singapore Institute for Neurotechnology (SINAPSE), National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute for Neurotechnology (SINAPSE), National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088964967","display_name":"Nitish V. Thakor","orcid":"https://orcid.org/0000-0002-9981-9395"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Nitish V. Thakor","raw_affiliation_strings":["National University of Singapore, Singapore, SG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, SG","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":1.7035,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.86945209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"544","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9955000281333923,"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"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8030442595481873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7820197343826294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7673888206481934},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.7486366629600525},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6274595260620117},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5587098002433777},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5446150302886963},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5160977244377136},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49710825085639954},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.47550731897354126},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4678894579410553},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.4448768198490143},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4295364022254944},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.42210492491722107},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2910267412662506},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09271511435508728}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8030442595481873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7820197343826294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7673888206481934},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.7486366629600525},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6274595260620117},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5587098002433777},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5446150302886963},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5160977244377136},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49710825085639954},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.47550731897354126},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4678894579410553},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.4448768198490143},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4295364022254944},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.42210492491722107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2910267412662506},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09271511435508728},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biocas.2014.6981783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2014.6981783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"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":8,"referenced_works":["https://openalex.org/W1968422655","https://openalex.org/W2033154814","https://openalex.org/W2120486516","https://openalex.org/W2144205281","https://openalex.org/W2144354855","https://openalex.org/W2156163116","https://openalex.org/W4248464013","https://openalex.org/W6677778380"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W3021551196","https://openalex.org/W4387272257","https://openalex.org/W2965594636","https://openalex.org/W2912550626"],"abstract_inverted_index":{"Real-time":[0],"visual":[1,19],"identification":[2,34],"and":[3,33,66,98,103,121,124,163],"tracking":[4,32],"of":[5,76,86,146,161,180],"objects":[6,65,155],"is":[7,84,141,164],"a":[8,26,42,89,106],"computationally":[9],"intensive":[10],"task,":[11],"particularly":[12],"in":[13,58,70,93,156,173],"cluttered":[14],"environments":[15],"which":[16,35,94,149],"contain":[17],"many":[18],"distracters.":[20],"In":[21],"this":[22],"paper":[23],"we":[24],"describe":[25],"real-time":[27],"bio-inspired":[28],"system":[29,78,96],"for":[30,49,79,88,116],"object":[31,168],"combines":[36],"an":[37,117,174],"event-based":[38,52],"vision":[39,53],"sensor":[40,54],"with":[41,159,170,178],"convolutional":[43],"neural":[44],"network":[45],"running":[46],"on":[47,105],"FPGA":[48],"recognition.":[50],"The":[51,82,108,138],"detects":[55],"only":[56],"changes":[57],"the":[59,71,77,95,136,147],"scene,":[60],"naturally":[61],"responding":[62],"to":[63,113,135,143,166],"moving":[64],"ignoring":[67],"static":[68],"distracters":[69],"background.":[72],"We":[73],"present":[74],"operation":[75],"two":[80],"tasks.":[81],"first":[83],"proof":[85],"concept":[87],"remote":[90],"monitoring":[91],"application":[92,112],"tracks":[97],"distinguishes":[99],"between":[100,152],"cars,":[101],"bikes,":[102],"pedestrians":[104],"road.":[107],"second":[109,139],"task":[110,140],"targets":[111],"grasp":[114],"planning":[115],"upper":[118],"limb":[119],"prosthesis":[120],"involves":[122],"detecting":[123],"identifying":[125],"household":[126],"objects,":[127],"as":[128,130],"well":[129],"determining":[131],"their":[132],"orientation":[133,169],"relative":[134],"camera.":[137],"used":[142],"quantify":[144],"performance":[145],"system,":[148],"can":[150],"discriminate":[151],"8":[153],"different":[154],"2.25":[157],"ms":[158,177],"accuracy":[160,172,179],"99.10%":[162],"able":[165],"determine":[167],"\u22124.5\u00b0":[171],"additional":[175],"2.28":[176],"97.76%.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":7}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
