{"id":"https://openalex.org/W3205719872","doi":"https://doi.org/10.1145/3477145.3477263","title":"2D Histogram based Region Proposal (H2RP) Algorithm for Neuromorphic Vision Sensors","display_name":"2D Histogram based Region Proposal (H2RP) Algorithm for Neuromorphic Vision Sensors","publication_year":2021,"publication_date":"2021-07-27","ids":{"openalex":"https://openalex.org/W3205719872","doi":"https://doi.org/10.1145/3477145.3477263","mag":"3205719872"},"language":"en","primary_location":{"id":"doi:10.1145/3477145.3477263","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477145.3477263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Neuromorphic Systems 2021","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/A5061285839","display_name":"Ranajay Medya","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ranajay Medya","raw_affiliation_strings":["Indian Institute of Technology Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018702966","display_name":"Sai Sukruth Bezugam","orcid":"https://orcid.org/0000-0003-0750-6568"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sai Sukruth Bezugam","raw_affiliation_strings":["Indian Institute of Technology Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046669715","display_name":"Dwijay Bane","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dwijay Bane","raw_affiliation_strings":["Indian Institute of Technology Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008011360","display_name":"Manan Suri","orcid":"https://orcid.org/0000-0003-1417-3570"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manan Suri","raw_affiliation_strings":["Indian Institute of Technology Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11388813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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":1.0,"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":0.9994999766349792,"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":0.9908000230789185,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9225111603736877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7592140436172485},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7038415670394897},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.666610836982727},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6571072936058044},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.6493052244186401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6009611487388611},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5780909061431885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5628702640533447},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.5103875994682312},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4819319248199463},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43994778394699097},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33835870027542114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3140828013420105},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29169324040412903},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2503308653831482}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9225111603736877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7592140436172485},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7038415670394897},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.666610836982727},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6571072936058044},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.6493052244186401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6009611487388611},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5780909061431885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5628702640533447},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.5103875994682312},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4819319248199463},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43994778394699097},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33835870027542114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3140828013420105},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29169324040412903},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2503308653831482},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477145.3477263","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477145.3477263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Neuromorphic Systems 2021","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1926270821","https://openalex.org/W2070304943","https://openalex.org/W2112796928","https://openalex.org/W2767142727","https://openalex.org/W2789435382","https://openalex.org/W2942762614","https://openalex.org/W2972000740","https://openalex.org/W3023872917","https://openalex.org/W3039515597","https://openalex.org/W4226051885"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W2166309310","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4214914769","https://openalex.org/W4387251107","https://openalex.org/W3137434606","https://openalex.org/W4372263373"],"abstract_inverted_index":{"In":[0],"this":[1,114],"paper,":[2],"we":[3,94,160],"propose":[4],"a":[5,33,140,162],"novel":[6],"approach":[7],"called":[8],"H2RP":[9,38,51,132],"(2D":[10],"Histogram":[11],"based":[12,41],"Region":[13],"Proposal)":[14],"for":[15,70,113,165],"efficient":[16],"region":[17,67],"proposal":[18,68],"on":[19,97,174],"AER":[20,102],"(Address":[21],"Event":[22],"Representation)":[23],"data":[24],"generated":[25,104],"by":[26,81],"commercial":[27,108],"neuromorphic":[28,71],"vision":[29,72],"sensors":[30],"<Font":[31],"name=\"#000000\">on":[32],"stationary":[34],"setup</Font>.":[35],"The":[36],"proposed":[37,50,92,172],"technique":[39,75,93],"is":[40],"upon":[42],"2D":[43],"histogram":[44],"event-count":[45],"images.":[46],"We":[47,168],"show":[48],"that":[49],"has":[52],"low":[53],"computational":[54,79,149],"footprint":[55,150],"and":[56,122],"no":[57],"memory":[58],"overhead":[59],"compared":[60,151],"to":[61,152],"other":[62,153],"state":[63,154],"of":[64,85,142,148,155],"the":[65,91,117,156,171],"art":[66,157],"techniques":[69],"data.":[73],"Proposed":[74],"derives":[76],"its":[77],"high":[78],"efficiency":[80],"eliminating":[82],"explicit":[83],"requirement":[84],"dedicated":[86],"noise":[87],"filtering.":[88],"To":[89],"validate":[90],"benchmark":[95],"it":[96],"two":[98,106,175],"different":[99,107,176],"real":[100],"world":[101],"datasets":[103],"from":[105],"event":[109],"sensors.":[110],"Datasets":[111],"used":[112],"study":[115],"constitute":[116],"(i)":[118],"DAVIS-traffic":[119],"surveillance":[120],"dataset,":[121],"(ii)":[123],"specially":[124],"recorded":[125],"moving":[126],"object":[127,166],"dataset.":[128],"Our":[129],"pipeline":[130,173],"including":[131],"along":[133],"with":[134],"an":[135],"overlap":[136],"tracker/kalman":[137],"filter":[138],"shows":[139],"gain":[141],"\u223c":[143],"87":[144],"\u00d7":[145],"in":[146],"terms":[147],"algorithms.":[158],"Further,":[159],"incorporate":[161],"light":[163],"CNN":[164],"recognition.":[167],"also":[169],"evaluate":[170],"edge-hardware":[177],"(Jetson":[178],"Nano,":[179],"Raspberry":[180],"Pi":[181],"3B":[182],"+)":[183],"platforms.":[184]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
