{"id":"https://openalex.org/W2131574471","doi":"https://doi.org/10.1109/icme.2004.1394113","title":"A new snake algorithm for object segmentation in stereo images","display_name":"A new snake algorithm for object segmentation in stereo images","publication_year":2005,"publication_date":"2005-03-07","ids":{"openalex":"https://openalex.org/W2131574471","doi":"https://doi.org/10.1109/icme.2004.1394113","mag":"2131574471"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2004.1394113","doi":"https://doi.org/10.1109/icme.2004.1394113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2004.1394113","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)","raw_type":"proceedings-article"},"volume":null,"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/A5032625888","display_name":"Shin-Hyoung Kim","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I110118728","display_name":"Pai Chai University","ror":"https://ror.org/05drcjw53","country_code":"KR","type":"education","lineage":["https://openalex.org/I110118728"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shin-Hyoung Kim","raw_affiliation_strings":["Department of Information and Communication Engineering, PaiChai University, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, PaiChai University, Daejeon, Korea","institution_ids":["https://openalex.org/I110118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778061","display_name":"Jaeho Choi","orcid":"https://orcid.org/0000-0002-1065-9728","observed_orcids":["https://orcid.org/0000-0002-1065-9728"]},"institutions":[{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Ho Choi","raw_affiliation_strings":["Chonbuk National University, Jeonju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonbuk National University, Jeonju, Korea","institution_ids":["https://openalex.org/I80611190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101876083","display_name":"Hyunbin Kim","orcid":"https://orcid.org/0009-0007-9386-9096","observed_orcids":["https://orcid.org/0009-0007-9386-9096"]},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun-Bin Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060267289","display_name":"Jong-Whan Jang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I110118728","display_name":"Pai Chai University","ror":"https://ror.org/05drcjw53","country_code":"KR","type":"education","lineage":["https://openalex.org/I110118728"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Whan Jang","raw_affiliation_strings":["Department of Information and Communication Engineering, PaiChai University, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, PaiChai University, Daejeon, Korea","institution_ids":["https://openalex.org/I110118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0814,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89034228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.6060000061988831,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.6060000061988831,"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":0.3718000054359436,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.007300000172108412,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/snakes","display_name":"snakes","score":0.4860000014305115},{"id":"https://openalex.org/keywords/snake-algorithm","display_name":"snake algorithm","score":0.9350000023841858},{"id":"https://openalex.org/keywords/object-segmentation","display_name":"object segmentation","score":0.8450000286102295},{"id":"https://openalex.org/keywords/stereo-images","display_name":"stereoscopic images","score":0.9110000133514404},{"id":"https://openalex.org/keywords/disparity-information","display_name":"disparity information","score":0.8820000290870667},{"id":"https://openalex.org/keywords/background-clutter","display_name":"background clutter","score":0.8939999938011169},{"id":"https://openalex.org/keywords/occlusion-detection","display_name":"occlusion detection","score":0.8109999895095825},{"id":"https://openalex.org/keywords/object-tracking","display_name":"object tracking","score":0.6499999761581421}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.793960452079773},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7811201810836792},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7613714933395386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6875584721565247},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6064952611923218},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5932226777076721},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5637549161911011},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.535054087638855},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5302830338478088},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5261784791946411},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.46110373735427856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3973385691642761},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.348419725894928},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1955583691596985},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2004.1394113","doi":"https://doi.org/10.1109/icme.2004.1394113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2004.1394113","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1973934102","https://openalex.org/W1984271153","https://openalex.org/W2081014767","https://openalex.org/W2098068624","https://openalex.org/W2104095591","https://openalex.org/W2106019631","https://openalex.org/W2121009299","https://openalex.org/W2124260943","https://openalex.org/W2165853006"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2551987074"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,50],"novel":[3],"snake":[4,26,56],"algorithm":[5,31,57,72],"for":[6],"object":[7,19,81],"segmentation":[8,61,71],"that":[9,67],"can":[10,73],"overcome":[11],"the":[12,22,54,77,88],"limitations":[13],"found":[14],"in":[15,58,87],"cluttered":[16],"backgrounds,":[17],"overlapped":[18],"placements,":[20],"and":[21,84],"problems":[23],"of":[24,42,60,79],"initial":[25],"points.":[27],"Our":[28],"newly":[29],"designed":[30],"is":[32,64],"developed":[33],"by":[34],"using":[35],"disparity":[36,90],"information":[37],"taken":[38],"from":[39],"several":[40],"sets":[41],"stereo":[43],"images.":[44],"The":[45],"experiment":[46],"results":[47],"have":[48],"exhibited":[49],"better":[51],"performance":[52],"over":[53],"well-known":[55],"terms":[59],"accuracy.":[62],"It":[63],"also":[65],"shown":[66],"our":[68],"proposed":[69],"new":[70],"be":[74],"extended":[75],"to":[76],"tracking":[78],"an":[80],"visible":[82],"boundary":[83],"occlusion":[85],"detection":[86],"3D":[89],"space.":[91]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}
