{"id":"https://openalex.org/W1578018155","doi":"https://doi.org/10.1109/icme.2015.7177471","title":"Fast Two-Cycle level set tracking with narrow perception of background","display_name":"Fast Two-Cycle level set tracking with narrow perception of background","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1578018155","doi":"https://doi.org/10.1109/icme.2015.7177471","mag":"1578018155"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2015.7177471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2015.7177471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","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/A5026770433","display_name":"Yaochen Li","orcid":"https://orcid.org/0000-0001-5741-5280"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaochen Li","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China","Xi'an Jiaotong University, No. 28 Xianning West Road, China, 710049"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, No. 28 Xianning West Road, China, 710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082008493","display_name":"Yuanqi Su","orcid":"https://orcid.org/0000-0001-7520-7020"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqi Su","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China","Xi'an Jiaotong University, No. 28 Xianning West Road, China, 710049"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, No. 28 Xianning West Road, China, 710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101438777","display_name":"Yuehu Liu","orcid":"https://orcid.org/0000-0002-1048-5115"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehu Liu","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China","Xi'an Jiaotong University, No. 28 Xianning West Road, China, 710049"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, No. 28 Xianning West Road, China, 710049","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026770433"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5532143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9955999851226807,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computer-science","display_name":"Computer science","score":0.6623847484588623},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6440873742103577},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6303116679191589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6298254728317261},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.6244145035743713},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.5761046409606934},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5434494614601135},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5402429103851318},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5269333124160767},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4327496588230133},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.41265058517456055},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3796173334121704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35320335626602173},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34251654148101807},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3029264807701111},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29812169075012207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6623847484588623},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6440873742103577},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6303116679191589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6298254728317261},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.6244145035743713},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.5761046409606934},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5434494614601135},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5402429103851318},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5269333124160767},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4327496588230133},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.41265058517456055},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3796173334121704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35320335626602173},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34251654148101807},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3029264807701111},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29812169075012207},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2015.7177471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2015.7177471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","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":18,"referenced_works":["https://openalex.org/W1529871791","https://openalex.org/W1933420946","https://openalex.org/W1991113069","https://openalex.org/W2093834886","https://openalex.org/W2098152234","https://openalex.org/W2100369947","https://openalex.org/W2101560656","https://openalex.org/W2105556527","https://openalex.org/W2109506130","https://openalex.org/W2110140398","https://openalex.org/W2110248298","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2154504070","https://openalex.org/W2167125383","https://openalex.org/W4212781311","https://openalex.org/W4249022109","https://openalex.org/W6631629804"],"related_works":["https://openalex.org/W2367921179","https://openalex.org/W3080476861","https://openalex.org/W657288383","https://openalex.org/W2098360446","https://openalex.org/W2373659438","https://openalex.org/W2102683994","https://openalex.org/W2063813108","https://openalex.org/W2050783914","https://openalex.org/W2385310810","https://openalex.org/W2736846486"],"abstract_inverted_index":{"The":[0,41,65,113,127],"problem":[1],"of":[2,48,74,82,110,124,130],"tracking":[3,122,128],"foreground":[4,35],"objects":[5,36],"in":[6,37,100],"a":[7,59],"video":[8,39],"sequence":[9],"with":[10,26,107,115],"moving":[11],"background":[12],"remains":[13],"challenging.":[14],"In":[15],"this":[16],"paper,":[17],"we":[18],"propose":[19],"the":[20,34,72,101,108,121,131,136],"Fast":[21],"Two-Cycle":[22],"level":[23,42,117,138],"set":[24,43,118,139],"method":[25,103,133],"Narrow":[27],"band":[28],"Background":[29],"(FTCNB)":[30],"to":[31],"automatically":[32],"extract":[33],"such":[38],"sequences.":[40],"curve":[44,66,105],"evolution":[45,67],"process":[46],"consists":[47],"two":[49,79],"successive":[50],"cycles:":[51],"one":[52],"cycle":[53,61],"for":[54,62,104],"data":[55],"dependent":[56],"term":[57],"and":[58],"second":[60],"smoothness":[63],"regularization.":[64],"is":[68,98],"implemented":[69],"by":[70],"computing":[71],"signs":[73],"region":[75],"competition":[76],"terms":[77],"on":[78],"linked":[80],"lists":[81],"contour":[83],"pixels":[84],"rather":[85],"than":[86],"solving":[87],"any":[88],"Partial":[89],"Differential":[90],"Equations":[91],"(PDEs).":[92],"Maximum":[93],"A":[94],"Posterior":[95],"(MAP)":[96],"optimization":[97],"applied":[99],"FTCNB":[102],"refinement":[106],"assistance":[109],"optical":[111],"flows.":[112],"comparison":[114],"other":[116],"methods":[119],"demonstrate":[120],"accuracy":[123],"our":[125],"method.":[126],"speed":[129],"proposed":[132],"also":[134],"outperforms":[135],"traditional":[137],"methods.":[140]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}