{"id":"https://openalex.org/W2938512943","doi":"https://doi.org/10.1109/ccis.2018.8691208","title":"Multiple Hypothesis Tracking based on Discriminative Appearance Features of Convolutional Neural Network","display_name":"Multiple Hypothesis Tracking based on Discriminative Appearance Features of Convolutional Neural Network","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2938512943","doi":"https://doi.org/10.1109/ccis.2018.8691208","mag":"2938512943"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2018.8691208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","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/A5100601689","display_name":"Xianhui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianhui Wang","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing 210094, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101892743","display_name":"Huajun Liu","orcid":"https://orcid.org/0000-0003-2861-7937"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajun Liu","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing 210094, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100601689"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20734558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"794","last_page":"798"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.984000027179718,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.9203585386276245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7452497482299805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7220838069915771},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7075905799865723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6487806439399719},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6459670066833496},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.47058382630348206},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.46679598093032837},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45934587717056274},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.45465540885925293},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4401616156101227},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4237363040447235},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.4195675849914551},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38937079906463623}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9203585386276245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7452497482299805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7220838069915771},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7075905799865723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6487806439399719},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6459670066833496},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.47058382630348206},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.46679598093032837},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45934587717056274},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.45465540885925293},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4401616156101227},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4237363040447235},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.4195675849914551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38937079906463623},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2018.8691208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1568122762","https://openalex.org/W1994623790","https://openalex.org/W2055022211","https://openalex.org/W2102605133","https://openalex.org/W2105621472","https://openalex.org/W2122088301","https://openalex.org/W2124781496","https://openalex.org/W2127923214","https://openalex.org/W2161969291","https://openalex.org/W2162108390","https://openalex.org/W2237765446","https://openalex.org/W2502636119","https://openalex.org/W2547098537","https://openalex.org/W2765335109","https://openalex.org/W2765926901","https://openalex.org/W2775526045","https://openalex.org/W6675026286"],"related_works":["https://openalex.org/W2609539975","https://openalex.org/W2786600129","https://openalex.org/W2132200263","https://openalex.org/W2102106825","https://openalex.org/W2982441782","https://openalex.org/W2012200063","https://openalex.org/W256589335","https://openalex.org/W2122378993","https://openalex.org/W4385144146","https://openalex.org/W2494424170"],"abstract_inverted_index":{"Multiple":[0],"Object":[1],"Tracking":[2],"(MOT)":[3],"has":[4],"attracted":[5],"increasing":[6],"attention":[7],"due":[8,20],"to":[9,21,64],"its":[10],"academic":[11],"and":[12,27],"commercial":[13],"potential.":[14],"However,":[15],"it":[16],"still":[17],"remains":[18],"challenging":[19],"factors":[22],"like":[23],"data":[24,71],"association":[25,72],"ambiguity":[26,73],"abrupt":[28,91],"appearance":[29,45,67,92,100],"changes.":[30],"To":[31],"address":[32],"these":[33],"issues,":[34],"we":[35],"extended":[36],"the":[37,44,70,88,113],"multiple":[38],"hypothesis":[39,84],"tracking":[40,121],"(MHT)":[41],"by":[42,78,97],"incorporating":[43],"features":[46],"which":[47,81],"extracted":[48],"from":[49],"faster":[50],"region":[51],"convolutional":[52],"neural":[53],"network":[54],"(Faster-RCNN).":[55],"Additionally,":[56],"a":[57],"principal":[58],"component":[59],"analysis":[60],"method":[61],"was":[62],"introduced":[63],"update":[65],"discriminative":[66,99],"features.":[68],"Thus,":[69],"can":[74,94],"be":[75,95],"reduced":[76],"surprisingly":[77],"exploiting":[79],"Faster-RCNN,":[80],"means":[82],"fewer":[83],"for":[85],"MHT.":[86,103],"Meanwhile,":[87],"issue":[89],"of":[90,112],"changes":[93],"addressed":[96],"modeling":[98],"feature":[101],"based-on":[102],"Many":[104],"experiments":[105],"on":[106],"MOT":[107],"benchmark":[108],"show":[109],"competitive":[110],"performance":[111],"proposed":[114],"approach":[115],"in":[116],"comparison":[117],"with":[118],"other":[119],"state-of-art":[120],"methods.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
