{"id":"https://openalex.org/W2594217106","doi":"https://doi.org/10.1155/2017/6471250","title":"Visual Vehicle Tracking Based on Deep Representation and Semisupervised Learning","display_name":"Visual Vehicle Tracking Based on Deep Representation and Semisupervised Learning","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2594217106","doi":"https://doi.org/10.1155/2017/6471250","mag":"2594217106"},"language":"en","primary_location":{"id":"doi:10.1155/2017/6471250","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/6471250","pdf_url":"http://downloads.hindawi.com/journals/js/2017/6471250.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/js/2017/6471250.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057276700","display_name":"Yingfeng Cai","orcid":"https://orcid.org/0000-0002-0633-9887"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingfeng Cai","raw_affiliation_strings":["Automotive Engineering Research Institution, Jiangsu University, Zhenjiang, Jiangsu 212013, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institution, Jiangsu University, Zhenjiang, Jiangsu 212013, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100771674","display_name":"Hai Wang","orcid":"https://orcid.org/0000-0002-9136-8091"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hai Wang","raw_affiliation_strings":["School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069251649","display_name":"Xiaoqiang Sun","orcid":"https://orcid.org/0000-0001-6344-5582"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-qiang Sun","raw_affiliation_strings":["Automotive Engineering Research Institution, Jiangsu University, Zhenjiang, Jiangsu 212013, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institution, Jiangsu University, Zhenjiang, Jiangsu 212013, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100630554","display_name":"Long Chen","orcid":"https://orcid.org/0000-0002-2079-3867"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Automotive Engineering Research Institution, Jiangsu University, Zhenjiang, Jiangsu 212013, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institution, Jiangsu University, Zhenjiang, Jiangsu 212013, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100771674"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.2773,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62429261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2017","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":0.994700014591217,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.8877164125442505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8191019296646118},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7021446228027344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.698948860168457},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6395942568778992},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6330463290214539},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5800510048866272},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5714473724365234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5274339318275452},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5152481198310852},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5002877712249756},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.49240243434906006},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48822763562202454},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.47300082445144653},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2147929072380066},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.19657880067825317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17629706859588623}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8877164125442505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8191019296646118},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7021446228027344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698948860168457},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6395942568778992},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6330463290214539},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5800510048866272},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5714473724365234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5274339318275452},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5152481198310852},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5002877712249756},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.49240243434906006},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48822763562202454},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.47300082445144653},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2147929072380066},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.19657880067825317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17629706859588623},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2017/6471250","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/6471250","pdf_url":"http://downloads.hindawi.com/journals/js/2017/6471250.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bf29bdf59a5b4755a109137db6aff51f","is_oa":true,"landing_page_url":"https://doaj.org/article/bf29bdf59a5b4755a109137db6aff51f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2017 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2017/6471250","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/6471250","pdf_url":"http://downloads.hindawi.com/journals/js/2017/6471250.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G1019665271","display_name":null,"funder_award_id":"61403172","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1260639815","display_name":null,"funder_award_id":"61601203","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G1453449448","display_name":null,"funder_award_id":"2015-JXQC-012","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G1643074639","display_name":null,"funder_award_id":"BK20140555","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G1838801417","display_name":null,"funder_award_id":"201405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1875858380","display_name":null,"funder_award_id":"61403172","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2052698398","display_name":null,"funder_award_id":"BK20140555","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2373845842","display_name":null,"funder_award_id":"BK20140555","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2845183848","display_name":null,"funder_award_id":"BE2016149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3012222088","display_name":null,"funder_award_id":"2014M561592","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G3161042318","display_name":null,"funder_award_id":"2015-JXQC-012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3177048044","display_name":null,"funder_award_id":"2014M561592","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3253018098","display_name":null,"funder_award_id":"2014-DZXX-040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G386186804","display_name":null,"funder_award_id":"61601203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3910829908","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4238046098","display_name":null,"funder_award_id":"2014-DZXX-040","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G4567400677","display_name":null,"funder_award_id":"2015T80511","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5063823460","display_name":null,"funder_award_id":"2014M561592","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G610642471","display_name":null,"funder_award_id":"U1564201","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G63298963","display_name":null,"funder_award_id":"61403172","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6369224312","display_name":null,"funder_award_id":"2014-DZXX-040","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6628658545","display_name":null,"funder_award_id":"BK201405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G684907336","display_name":null,"funder_award_id":"BE2016149","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7359886555","display_name":null,"funder_award_id":"U1564201","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7875347348","display_name":null,"funder_award_id":"BE2016149","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8208342437","display_name":null,"funder_award_id":"1 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8232850061","display_name":null,"funder_award_id":"2015T80511","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8273035961","display_name":null,"funder_award_id":"2014-DZXX-040","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8307077400","display_name":null,"funder_award_id":"2015-JXQC-012","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8528291983","display_name":null,"funder_award_id":"2015T80511","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8597831705","display_name":null,"funder_award_id":"U1564201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8759338351","display_name":null,"funder_award_id":"61601203","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326182","display_name":"Six Talent Peaks Project in Jiangsu Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2594217106.pdf","grobid_xml":"https://content.openalex.org/works/W2594217106.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1974978785","https://openalex.org/W2109579504","https://openalex.org/W2116064496","https://openalex.org/W2124211486","https://openalex.org/W2136475381","https://openalex.org/W2136922672","https://openalex.org/W2154889144","https://openalex.org/W2162919312","https://openalex.org/W2165037244"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"Discriminative":[0],"tracking":[1,51,61,150,173],"methods":[2],"use":[3,21,38],"binary":[4],"classification":[5,41],"to":[6,30,43,49,108,139],"discriminate":[7],"between":[8],"the":[9,20,91,99,122,126,130,159],"foreground":[10],"and":[11,13,67,111,125,176],"background":[12,131],"have":[14],"achieved":[15],"some":[16],"useful":[17],"results.":[18],"However,":[19],"of":[22,83,93,161],"labeled":[23],"training":[24,120],"samples":[25,118,128],"is":[26,77,96,106,137],"insufficient":[27],"for":[28,119],"them":[29],"achieve":[31],"accurate":[32],"tracking.":[33],"Hence,":[34],"discriminative":[35],"classifiers":[36],"must":[37],"their":[39],"own":[40],"results":[42],"update":[44,112],"themselves,":[45],"which":[46],"may":[47],"lead":[48],"feedback-induced":[50],"drift.":[52],"To":[53],"overcome":[54],"these":[55],"problems,":[56],"we":[57],"propose":[58],"a":[59,71,80,113,134,171],"semisupervised":[60],"algorithm":[62,151],"that":[63,146],"uses":[64],"deep":[65,74,114],"representation":[66],"transfer":[68,109],"learning.":[69],"Firstly,":[70],"2D":[72],"multilayer":[73],"belief":[75],"network":[76,95],"trained":[78],"with":[79,165],"large":[81],"amount":[82],"unlabeled":[84],"samples.":[85],"The":[86,116],"nonlinear":[87],"mapping":[88],"point":[89],"at":[90],"top":[92],"this":[94,103],"subtracted":[97],"as":[98],"feature":[100,104],"dictionary.":[101],"Then,":[102],"dictionary":[105],"utilized":[107],"train":[110],"tracker.":[115],"positive":[117],"are":[121,129],"tracked":[123],"vehicles,":[124],"negative":[127],"images.":[132],"Finally,":[133],"particle":[135],"filter":[136],"used":[138],"estimate":[140],"vehicle":[141,149,162],"position.":[142],"We":[143],"demonstrate":[144],"experimentally":[145],"our":[147,168],"proposed":[148],"can":[152],"effectively":[153],"restrain":[154],"drift":[155],"while":[156],"also":[157],"maintaining":[158],"adaption":[160],"appearance.":[163],"Compared":[164],"similar":[166],"algorithms,":[167],"method":[169],"achieves":[170],"better":[172],"success":[174],"rate":[175],"fewer":[177],"average":[178],"central-pixel":[179],"errors.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
