{"id":"https://openalex.org/W4284896169","doi":"https://doi.org/10.1162/neco_a_01507","title":"An FPGA Accelerator for High-Speed Moving Objects Detection and Tracking With a Spike Camera","display_name":"An FPGA Accelerator for High-Speed Moving Objects Detection and Tracking With a Spike Camera","publication_year":2022,"publication_date":"2022-07-07","ids":{"openalex":"https://openalex.org/W4284896169","doi":"https://doi.org/10.1162/neco_a_01507","pmid":"https://pubmed.ncbi.nlm.nih.gov/35798326"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_01507","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_01507","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5036167413","display_name":"Yaoyu Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaoyu Zhu","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Peking University, Beijing 100871, China yaoyu.zhu@pku.edu.cn"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Peking University, Beijing 100871, China yaoyu.zhu@pku.edu.cn","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433644","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0002-9457-3162"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Beijing Academy of Artificial Intelligence, Beijing 10084, China yuzhang2.liu@gmail.com","School of Electronic Engineering and Computer Science, Peking University, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"Beijing Academy of Artificial Intelligence, Beijing 10084, China yuzhang2.liu@gmail.com","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101585261","display_name":"Xiaodong Xie","orcid":"https://orcid.org/0000-0002-4325-7741"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodong Xie","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Peking University, Beijing 100871, China donxie@pku.edu.cn"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Peking University, Beijing 100871, China donxie@pku.edu.cn","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058066577","display_name":"Tiejun Huang","orcid":"https://orcid.org/0000-0002-4234-6099"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tiejun Huang","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Peking University, Beijing 100871, China tjhuang@pku.edu.cn"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Peking University, Beijing 100871, China tjhuang@pku.edu.cn","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036167413","https://openalex.org/A5058066577","https://openalex.org/A5101585261"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.0125,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.74454729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":"8","first_page":"1812","last_page":"1839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9933000206947327,"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":0.9923999905586243,"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":0.7773333787918091},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.5756515860557556},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5660400986671448},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.5636411309242249},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5390007495880127},{"id":"https://openalex.org/keywords/multiplexer","display_name":"Multiplexer","score":0.5166804790496826},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.47579941153526306},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47028234601020813},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.41614770889282227},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.41145703196525574},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3984421193599701},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3400300443172455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33987748622894287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.16028153896331787},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.15844997763633728}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7773333787918091},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.5756515860557556},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5660400986671448},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.5636411309242249},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5390007495880127},{"id":"https://openalex.org/C70970002","wikidata":"https://www.wikidata.org/wiki/Q189434","display_name":"Multiplexer","level":3,"score":0.5166804790496826},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.47579941153526306},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47028234601020813},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.41614770889282227},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.41145703196525574},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3984421193599701},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3400300443172455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33987748622894287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.16028153896331787},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.15844997763633728},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/neco_a_01507","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_01507","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:35798326","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35798326","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W1502024436","https://openalex.org/W1611469330","https://openalex.org/W1980178290","https://openalex.org/W1987879214","https://openalex.org/W2010655017","https://openalex.org/W2016574277","https://openalex.org/W2022995207","https://openalex.org/W2046644792","https://openalex.org/W2065755494","https://openalex.org/W2071355008","https://openalex.org/W2078182867","https://openalex.org/W2105015618","https://openalex.org/W2105934661","https://openalex.org/W2112927743","https://openalex.org/W2114979702","https://openalex.org/W2120431135","https://openalex.org/W2120617193","https://openalex.org/W2124781496","https://openalex.org/W2129826981","https://openalex.org/W2130452018","https://openalex.org/W2132870234","https://openalex.org/W2141461755","https://openalex.org/W2148654448","https://openalex.org/W2151492037","https://openalex.org/W2170495277","https://openalex.org/W2490248157","https://openalex.org/W2600578627","https://openalex.org/W2606438808","https://openalex.org/W2612342510","https://openalex.org/W2885018286","https://openalex.org/W2912314656","https://openalex.org/W2964554711","https://openalex.org/W2971075082","https://openalex.org/W2972378560","https://openalex.org/W2995865382","https://openalex.org/W3034856145","https://openalex.org/W3035303839","https://openalex.org/W3195504409","https://openalex.org/W4240890319","https://openalex.org/W4245719572","https://openalex.org/W4247763225","https://openalex.org/W6682452906","https://openalex.org/W6733072214","https://openalex.org/W6745065605","https://openalex.org/W6787987420","https://openalex.org/W6797089471"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W2013643406","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W2532502681"],"abstract_inverted_index":{"Ultra-high-speed":[0],"object":[1,37],"detection":[2,12,63,98],"and":[3,13,40,60,69,96,112,139,154,195],"tracking":[4,41],"are":[5],"crucial":[6],"in":[7,23],"fields":[8],"such":[9],"as":[10,43,45],"fault":[11],"scientific":[14],"observation.":[15],"Existing":[16],"solutions":[17],"to":[18,65,91,135,150,191],"this":[19,29],"task":[20],"have":[21],"deficiencies":[22],"processing":[24,126,152,178],"speeds.":[25],"To":[26,81],"deal":[27],"with":[28,118,130,144,162,206,213],"difficulty,":[30],"we":[31],"propose":[32],"a":[33,46,51,84,103,119,131],"neural-inspired":[34],"ultra-high-speed":[35],"moving":[36,116],"filtering,":[38],"detection,":[39],"scheme,":[42],"well":[44],"corresponding":[47],"accelerator":[48,161,182,198],"based":[49],"on":[50,186],"high-speed":[52],"spike":[53,110,204],"camera.":[54],"We":[55,158],"parallelize":[56],"the":[57,62,67,75,78,93,97,127,163,171,181,187],"filtering":[58,94],"module":[59,64,99],"divide":[61],"accelerate":[66,92],"algorithm":[68,108],"balance":[70],"latency":[71],"among":[72],"modules":[73],"for":[74,180],"benefit":[76],"of":[77,115,133,146],"task-level":[79],"pipeline.":[80],"be":[82],"specific,":[83],"block-based":[85],"parallel":[86,104],"computation":[87],"model":[88],"is":[89,100,183],"proposed":[90],"module,":[95],"accelerated":[101],"by":[102],"connected":[105],"component":[106],"labeling":[107],"modeling":[109],"sparsity":[111],"spatial":[113],"connectivity":[114],"objects":[117],"searching":[120],"tree.":[121],"The":[122],"hardware":[123],"optimizations":[124],"include":[125],"LIF":[128],"layer":[129],"group":[132],"multiplexers":[134],"reduce":[136],"ADD":[137],"operations":[138,143],"replacing":[140],"expensive":[141],"exponential":[142],"multiplications":[145],"preprocessed":[147],"fixed-point":[148],"values":[149],"increase":[151],"speed":[153],"minimize":[155],"resource":[156],"consumption.":[157,218],"design":[159],"an":[160],"above":[164],"techniques,":[165],"achieving":[166],"19":[167],"times":[168],"acceleration":[169],"over":[170],"serial":[172],"version":[173],"after":[174],"25-way":[175],"parallelization.":[176],"A":[177],"system":[179],"also":[184],"implemented":[185],"Xilinx":[188],"ZCU-102":[189],"board":[190],"validate":[192],"its":[193],"functionality":[194],"performance.":[196],"Our":[197],"can":[199],"process":[200],"more":[201],"than":[202],"20,000":[203],"images":[205],"250":[207],"\u00d7":[208],"400":[209],"resolution":[210],"per":[211],"second":[212],"1.618":[214],"W":[215],"dynamic":[216],"power":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
