{"id":"https://openalex.org/W4366396156","doi":"https://doi.org/10.1145/3585967.3585990","title":"Multi-Object Tracking based on RGB-D Sensors","display_name":"Multi-Object Tracking based on RGB-D Sensors","publication_year":2023,"publication_date":"2023-01-06","ids":{"openalex":"https://openalex.org/W4366396156","doi":"https://doi.org/10.1145/3585967.3585990"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3585967.3585990","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/A5089586411","display_name":"Keliang Zhu","orcid":"https://orcid.org/0009-0008-5506-6951"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keliang Zhu","raw_affiliation_strings":["State Grid Anhui Electric Power Co, Ltd. Construction Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Anhui Electric Power Co, Ltd. Construction Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026371170","display_name":"Xuemei Shi","orcid":"https://orcid.org/0009-0003-5875-4163"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Shi","raw_affiliation_strings":["State Grid Anhui Electric Power Co, Ltd. Construction Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Anhui Electric Power Co, Ltd. Construction Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063457457","display_name":"Tianzhong Zhang","orcid":"https://orcid.org/0009-0003-3049-4398"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhong Zhang","raw_affiliation_strings":["State Grid Anhui Electric Power Co, Ltd, China"],"affiliations":[{"raw_affiliation_string":"State Grid Anhui Electric Power Co, Ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034347711","display_name":"Huasong Song","orcid":"https://orcid.org/0009-0008-9626-5244"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huasong Song","raw_affiliation_strings":["State Grid Anhui Electric Power Co, Ltd. Construction Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Anhui Electric Power Co, Ltd. Construction Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025791877","display_name":"Jinlin Xu","orcid":"https://orcid.org/0009-0001-4588-8395"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlin Xu","raw_affiliation_strings":["Hefei Institutes of Physical Science, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Hefei Institutes of Physical Science, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103148706","display_name":"Liangfeng Chen","orcid":"https://orcid.org/0000-0001-5946-1707"},"institutions":[{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangfeng Chen","raw_affiliation_strings":["Hefei Institutes of Physical Science, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Hefei Institutes of Physical Science, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I19820366"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.274,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.556134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":68,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"136"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998,"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":"Video Surveillance and Tracking Methods","score":0.9998,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9982,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9967,"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/rgb-color-model","display_name":"RGB color model","score":0.5839283},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5049971},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44157824},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43508542}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.82207686},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.78116214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7612342},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5839283},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.54932874},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5049971},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4714219},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4588232},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4456002},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44157824},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43508542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37829602},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20803547},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12665871},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3585967.3585990","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":[{"display_name":"No poverty","score":0.74,"id":"https://metadata.un.org/sdg/1"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":30,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2007104354","https://openalex.org/W2102605133","https://openalex.org/W2154889144","https://openalex.org/W2168356304","https://openalex.org/W2345333930","https://openalex.org/W2474389331","https://openalex.org/W2591941602","https://openalex.org/W2610163782","https://openalex.org/W2739374836","https://openalex.org/W2742165450","https://openalex.org/W2771283653","https://openalex.org/W2771653066","https://openalex.org/W2782086533","https://openalex.org/W2799904499","https://openalex.org/W2811184430","https://openalex.org/W2886581236","https://openalex.org/W2890326098","https://openalex.org/W2950507236","https://openalex.org/W2953920664","https://openalex.org/W2962811204","https://openalex.org/W2963150697","https://openalex.org/W2963962634","https://openalex.org/W2964111344","https://openalex.org/W2981393651","https://openalex.org/W3099887740","https://openalex.org/W3102327032","https://openalex.org/W639708223","https://openalex.org/W987736280"],"related_works":["https://openalex.org/W4292672442","https://openalex.org/W4235810826","https://openalex.org/W2941610985","https://openalex.org/W2791431590","https://openalex.org/W2362101859","https://openalex.org/W2350688482","https://openalex.org/W2348909947","https://openalex.org/W2122135111","https://openalex.org/W2080782477","https://openalex.org/W2053575972"],"abstract_inverted_index":{"The":[0,103,158],"accuracy":[1],"of":[2,30,122,146],"the":[3,9,31,34,43,78,93,97,109,115,128,132,138,143,149,155],"multi-object":[4,166],"tracking":[5],"(MOT)":[6],"based":[7,26,126],"on":[8,27,127,178],"2D":[10],"camera":[11,32,45],"without":[12],"depth":[13,44],"info":[14],"is":[15,152],"usually":[16],"poor.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21,49,66,86],"propose":[22],"a":[23,51,63,71,88,175],"MOT":[24],"method":[25,164],"sensors":[28],"composed":[29],"and":[33,81,99,117,131,148,168,170],"ultra-wide":[35],"band":[36],"(UWB)":[37],"radar,":[38],"which":[39,124],"are":[40,106,125,140],"similar":[41],"to":[42,54,74,91],"(RGB-D":[46],"camera).":[47],"First,":[48],"establish":[50],"backbone":[52],"network":[53,151],"extract":[55],"feature":[56],"maps":[57],"from":[58],"video":[59],"frames":[60],"captured":[61],"by":[62,108,142,154,174],"camera.":[64],"Then,":[65],"combine":[67],"Faster":[68],"R-CNN":[69],"with":[70],"re-ID":[72],"branch":[73],"detect":[75],"objects":[76,98,116],"including":[77],"category,":[79],"coordinate":[80],"ID.":[82],"To":[83],"track":[84],"objects,":[85],"construct":[87],"similarity":[89],"matrix":[90],"calculate":[92],"data":[94,130,135],"association":[95],"between":[96,114],"their":[100,118],"historical":[101],"trajectories.":[102],"matrix's":[104],"elements":[105],"calculated":[107],"intersection":[110],"over":[111],"union":[112],"(IoU)":[113],"related":[119],"two":[120,144],"types":[121,145],"trajectories,":[123,147],"image":[129],"UWB":[133],"localization":[134,156],"separately.":[136],"Finally,":[137],"trajectories":[139],"updated":[141,153],"recognition":[150,167],"loss.":[157],"experimental":[159],"results":[160],"show":[161],"that":[162],"our":[163],"achieves":[165],"tracking,":[169],"outperforms":[171],"previous":[172],"methods":[173],"large":[176],"margin":[177],"several":[179],"public":[180],"datasets.":[181]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4366396156","counts_by_year":[],"updated_date":"2024-12-09T11:47:44.440738","created_date":"2023-04-21"}