{"id":"https://openalex.org/W1997403288","doi":"https://doi.org/10.1109/icassp.2013.6638066","title":"Dual-layer particle filtering for simultaneous multiple objects detection and tracking","display_name":"Dual-layer particle filtering for simultaneous multiple objects detection and tracking","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1997403288","doi":"https://doi.org/10.1109/icassp.2013.6638066","mag":"1997403288"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5058914404","display_name":"Kyungwon Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kyungwon Jung","raw_affiliation_strings":["Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, South Korea","Image Process. & Intell. Syst. Lab., Chung-Ang Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Image Process. & Intell. Syst. Lab., Chung-Ang Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100706045","display_name":"Nahyun Kim","orcid":"https://orcid.org/0009-0003-4178-2707"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nahyun Kim","raw_affiliation_strings":["Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, South Korea","Image Process. & Intell. Syst. Lab., Chung-Ang Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Image Process. & Intell. Syst. Lab., Chung-Ang Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375650","display_name":"Seung-Won Lee","orcid":"https://orcid.org/0000-0001-8893-8332"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungwon Lee","raw_affiliation_strings":["Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, South Korea","Image Process. & Intell. Syst. Lab., Chung-Ang Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Image Process. & Intell. Syst. Lab., Chung-Ang Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013926864","display_name":"Joonki Paik","orcid":"https://orcid.org/0000-0002-8593-7155"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joonki Paik","raw_affiliation_strings":["Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, South Korea","Image Process. & Intell. Syst. Lab., Chung-Ang Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Image Process. & Intell. Syst. Lab., Chung-Ang Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058914404"],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":null,"apc_paid":null,"fwci":0.5443,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6877478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"2307","last_page":"2311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9994000196456909,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/particle-filter","display_name":"Particle filter","score":0.7849588394165039},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6994713544845581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6955349445343018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6764430999755859},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6647303104400635},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5997525453567505},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5511347055435181},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5421046614646912},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5042222738265991},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.46609628200531006},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46324434876441956},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.44681432843208313},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4148828983306885},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.38755133748054504},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3290193974971771},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18055984377861023},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08414396643638611}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7849588394165039},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6994713544845581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6955349445343018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6764430999755859},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6647303104400635},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5997525453567505},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5511347055435181},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5421046614646912},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5042222738265991},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.46609628200531006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46324434876441956},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.44681432843208313},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4148828983306885},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.38755133748054504},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3290193974971771},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18055984377861023},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08414396643638611},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/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:10.1109/icassp.2013.6638066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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":12,"referenced_works":["https://openalex.org/W1513768190","https://openalex.org/W2000326692","https://openalex.org/W2118877769","https://openalex.org/W2130269714","https://openalex.org/W2133778331","https://openalex.org/W2134380836","https://openalex.org/W2147953023","https://openalex.org/W2150832435","https://openalex.org/W2151467788","https://openalex.org/W6677548441","https://openalex.org/W6682042711","https://openalex.org/W6682187105"],"related_works":["https://openalex.org/W2348909947","https://openalex.org/W2015530857","https://openalex.org/W4292672442","https://openalex.org/W2362101859","https://openalex.org/W2791431590","https://openalex.org/W2941610985","https://openalex.org/W4235810826","https://openalex.org/W3000105423","https://openalex.org/W2100525497","https://openalex.org/W2965594636"],"abstract_inverted_index":{"In":[0,62],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,70,86,91,95],"novel":[6],"method":[7,140],"for":[8,41,52,110,123,131],"simultaneous":[9],"detection":[10],"and":[11,22,45,100,144,148],"tracking":[12,23,53,111],"of":[13,34,127],"multiple":[14,24,43,146],"objects":[15,44,54,120,147],"using":[16,69,154],"dual-layer":[17,29],"particle":[18,30,84],"filtering.":[19],"For":[20],"detecting":[21,42,132],"moving":[25],"objects,":[26],"the":[27,38,49,59,63,75,106,112,125,138,151,155],"proposed":[28,139],"filter":[31],"(DLPF)":[32],"consists":[33],"parent-particles":[35],"(PPs)":[36],"in":[37,48,58,105,162],"first":[39,60,64],"layer":[40,51],"child-particles":[46],"(CPs)":[47],"second":[50],"that":[55,117,137],"are":[56],"detected":[57,107,113,119],"layer.":[61],"layer,":[65],"PPs":[66,116,128],"detect":[67,143],"persons":[68],"classifier":[71],"prior":[72],"trained":[73],"by":[74],"intersection":[76],"kernel":[77],"support":[78],"vector":[79],"machine":[80],"(IKSVM)":[81],"at":[82],"each":[83],"under":[85],"randomly":[87],"selected":[88],"scale.":[89],"If":[90],"certain":[92],"PP":[93],"detects":[94],"person,":[96],"it":[97],"generates":[98],"CPs,":[99],"makes":[101],"an":[102],"object":[103,108],"model":[104],"region":[109],"object.":[114],"While":[115],"have":[118],"generate":[121],"CPs":[122],"tracking,":[124],"rest":[126],"still":[129],"move":[130],"objects.":[133],"Experimental":[134],"results":[135],"show":[136],"can":[141],"automatically":[142],"track":[145],"efficiently":[149],"reduce":[150],"computational":[152],"time":[153],"sampled":[156],"particles":[157],"based":[158],"on":[159],"motion":[160],"distribution":[161],"video":[163],"sequences.":[164]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}