{"id":"https://openalex.org/W2765498534","doi":"https://doi.org/10.23919/eusipco.2017.8081544","title":"Two-layer tracking for occlusion handling and inter-sensor identification in multiple depth sensorsbased object detection and tracking","display_name":"Two-layer tracking for occlusion handling and inter-sensor identification in multiple depth sensorsbased object detection and tracking","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2765498534","doi":"https://doi.org/10.23919/eusipco.2017.8081544","mag":"2765498534"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081544","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017936376","display_name":"Houari Sabirin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Houari Sabirin","raw_affiliation_strings":["Ultra-Realistic Communications Group, KDDI Research, Inc., Fujimino-shi, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ultra-Realistic Communications Group, KDDI Research, Inc., Fujimino-shi, Saitama, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109349308","display_name":"Sei Naito","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sei Naito","raw_affiliation_strings":["Ultra-Realistic Communications Group, KDDI Research, Inc., Fujimino-shi, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ultra-Realistic Communications Group, KDDI Research, Inc., Fujimino-shi, Saitama, Japan","institution_ids":["https://openalex.org/I4210164495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210164495"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12190626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1922","last_page":"1926"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9950000047683716,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.852746844291687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8272875547409058},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.748079776763916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6830768585205078},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6040971875190735},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.489208459854126},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48476356267929077},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4718848466873169},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46956658363342285},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46038058400154114},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.4591689705848694},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4314393699169159},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3824673295021057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.060361653566360474}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.852746844291687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8272875547409058},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.748079776763916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6830768585205078},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6040971875190735},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.489208459854126},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48476356267929077},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4718848466873169},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46956658363342285},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46038058400154114},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.4591689705848694},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4314393699169159},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3824673295021057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.060361653566360474},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2017.8081544","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W99952337","https://openalex.org/W422411149","https://openalex.org/W1814075596","https://openalex.org/W1893035343","https://openalex.org/W2003837989","https://openalex.org/W2012709681","https://openalex.org/W2059544451","https://openalex.org/W2074319948","https://openalex.org/W2118572719","https://openalex.org/W2118867904","https://openalex.org/W2122933203","https://openalex.org/W2123878829","https://openalex.org/W2170836495","https://openalex.org/W2276700481"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W2965594636","https://openalex.org/W4327670844"],"abstract_inverted_index":{"The":[0],"main":[1],"challenge":[2],"in":[3,110,125,140],"depth-based":[4],"object":[5,44,64],"detection":[6,65],"and":[7,29,60,66,92,157],"tracking":[8,53,67,80,95,107],"process":[9],"is":[10,22,81,108],"to":[11,27,41,88,130,143],"provide":[12,131],"correct":[13,132],"identification":[14,62,133],"of":[15,98,114,134],"the":[16,24,32,35,76,79,99,103,106,111,115,119,135,149],"detected":[17,139],"objects":[18,33,116,136,156,158],"during":[19],"occlusion.":[20],"This":[21],"because":[23],"information":[25],"necessary":[26],"distinguish":[28],"consequently":[30],"identify":[31],"throughout":[34],"occlusion":[36,58],"events":[37],"are":[38,123,138,160],"limited,":[39],"compared":[40],"conventional,":[42],"color-based":[43],"tracking.":[45],"In":[46],"this":[47],"paper":[48],"we":[49],"propose":[50],"a":[51,126],"two-layer":[52],"method":[54,151],"that":[55,68,122,137,148,159],"enables":[56],"automatic":[57],"handling":[59],"inter-sensor":[61],"for":[63,85],"utilizes":[69],"more":[70],"than":[71],"one":[72,141],"depth":[73],"sensor.":[74],"On":[75,102],"first":[77,82,120],"layer,":[78,105],"performed":[83,109],"independently":[84],"each":[86],"sensor":[87,142],"extract":[89],"objects'":[90],"feature":[91],"perform":[93],"initial":[94],"with":[96],"separation":[97],"occluded":[100,155],"objects.":[101],"second":[104],"perspective":[112],"projection":[113],"tracked":[117],"on":[118],"layer":[121],"combined":[124],"single":[127],"processing":[128],"plane":[129],"another.":[144],"Experiment":[145],"results":[146],"show":[147],"proposed":[150],"can":[152],"correctly":[153],"identified":[154],"moving":[161],"between":[162],"sensors":[163],"coverage":[164],"area.":[165]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}