{"id":"https://openalex.org/W4392930914","doi":"https://doi.org/10.1109/ccnc51664.2024.10454895","title":"Edge-Oriented Point Cloud Compression by Moving Object Detection for Realtime Smart Monitoring","display_name":"Edge-Oriented Point Cloud Compression by Moving Object Detection for Realtime Smart Monitoring","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4392930914","doi":"https://doi.org/10.1109/ccnc51664.2024.10454895"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc51664.2024.10454895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5108909691","display_name":"Itsuki Takada","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Itsuki Takada","raw_affiliation_strings":["Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111149539","display_name":"Daiki Nitto","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daiki Nitto","raw_affiliation_strings":["Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021606555","display_name":"Yoshihiro Midoh","orcid":"https://orcid.org/0000-0003-3164-2180"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshihiro Midoh","raw_affiliation_strings":["Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032938283","display_name":"Noriyuki Miura","orcid":"https://orcid.org/0000-0002-0072-6114"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriyuki Miura","raw_affiliation_strings":["Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107461620","display_name":"Jun Shiomi","orcid":"https://orcid.org/0000-0003-2733-9349"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Shiomi","raw_affiliation_strings":["Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087831856","display_name":"Ryoichi Shinkuma","orcid":"https://orcid.org/0000-0003-2842-8941"},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryoichi Shinkuma","raw_affiliation_strings":["Shibaura Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":85},"biblio":{"volume":null,"issue":null,"first_page":"400","last_page":"405"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Visual Object Tracking and Person Re-identification","score":0.9938,"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/T10331","display_name":"Visual Object Tracking and Person Re-identification","score":0.9938,"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/T10719","display_name":"Analysis of Three-Dimensional Shape Structures","score":0.9907,"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/T11164","display_name":"Mapping Forests with Lidar Remote Sensing","score":0.9864,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion Detection","score":0.627265},{"id":"https://openalex.org/keywords/object-tracking","display_name":"Object Tracking","score":0.626934},{"id":"https://openalex.org/keywords/multiple-object-tracking","display_name":"Multiple Object Tracking","score":0.60933},{"id":"https://openalex.org/keywords/real-time-tracking","display_name":"Real-time Tracking","score":0.596395},{"id":"https://openalex.org/keywords/point-clouds","display_name":"Point Clouds","score":0.576254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72943},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.657306},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5751448},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5590956},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.51540697},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.44109035},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42913032},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41539645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39950573},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35074055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32966417},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.101453125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.07334623},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc51664.2024.10454895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W2008705190","https://openalex.org/W2124036500","https://openalex.org/W2341949230","https://openalex.org/W2802574842","https://openalex.org/W2968296999","https://openalex.org/W3036496049","https://openalex.org/W3090190135","https://openalex.org/W3207145355","https://openalex.org/W4205675198","https://openalex.org/W4225310501","https://openalex.org/W4366216470"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W2626737336","https://openalex.org/W2612632602","https://openalex.org/W2321805087","https://openalex.org/W2005998065","https://openalex.org/W1578717197"],"abstract_inverted_index":{"Smart":[0],"traffic":[1,76,134],"monitoring":[2],"at":[3,47,86],"intersections":[4,51],"which":[5,125,174],"exploits":[6],"three-dimensional":[7],"light":[8],"detection":[9,150,206],"and":[10,23,56],"ranging":[11],"(LiDAR)":[12],"sensor":[13,89],"networks":[14],"is":[15,33,123,157,165,175,195],"a":[16,21,53,57,67,95,113,170],"promising":[17],"technique":[18],"for":[19,28,73,132],"achieving":[20],"safe":[22],"secure":[24],"society.":[25],"One":[26],"challenge":[27],"widely":[29],"spreading":[30],"these":[31],"systems":[32],"to":[34,90,117,129],"effectively":[35],"aggregate":[36],"massive":[37],"point":[38,69,96,99,114,187],"cloud":[39,70,97,115],"data":[40,101,108,156],"generated":[41],"by":[42],"multiple":[43],"LiDAR":[44,88,183],"sensors":[45],"installed":[46,85],"every":[48,87],"corner":[49],"of":[50,94,109,112,155,181,191],"with":[52,169],"limited":[54,58],"cost":[55],"communication":[59,121],"bandwidth.":[60],"To":[61],"this":[62,64],"end,":[63],"paper":[65],"proposes":[66],"lightweight":[68],"compression":[71,189],"method":[72,80,194],"real-time":[74],"smart":[75],"monitoring.":[77],"The":[78,160],"proposed":[79,193],"enables":[81],"tiny":[82],"low-cost":[83],"processors":[84],"detect":[91],"moving":[92,110,204],"parts":[93,111],"from":[98],"could":[100,188],"in":[102,136],"real":[103,137],"time.":[104,138],"By":[105],"sending":[106],"compressed":[107],"only":[116],"edge":[118,127],"servers,":[119],"the":[120,142,148,192,203],"bandwidth":[122],"saved,":[124],"helps":[126],"servers":[128],"analyze":[130],"them":[131],"preventing":[133],"accidents":[135],"Experimental":[139],"results":[140],"using":[141],"KoPER":[143],"intersection":[144],"dataset":[145],"show":[146],"that":[147,201],"average":[149],"rate":[151],"over":[152],"1,200":[153],"frames":[154],"around":[158],"95%.":[159],"processing":[161],"time":[162],"per":[163],"frame":[164,179],"about":[166],"5.4":[167],"ms":[168],"commercial":[171],"edge-oriented":[172],"processor,":[173],"less":[176],"than":[177,200],"typical":[178],"rates":[180],"modern":[182],"sensors.":[184],"In":[185],"addition,":[186],"ratio":[190],"approximately":[196],"3.5":[197],"times":[198],"better":[199],"without":[202],"part":[205],"technique.":[207]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4392930914","counts_by_year":[],"updated_date":"2024-11-24T00:58:31.589570","created_date":"2024-03-19"}