{"id":"https://openalex.org/W2172080001","doi":"https://doi.org/10.1109/icip.2002.1038993","title":"A predictive contour inertia snake model for general video tracking","display_name":"A predictive contour inertia snake model for general video tracking","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2172080001","doi":"https://doi.org/10.1109/icip.2002.1038993","mag":"2172080001"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2002.1038993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1038993","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image 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/A5088853402","display_name":"Hao Jiang","orcid":"https://orcid.org/0000-0003-4450-1467"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hao Jiang","raw_affiliation_strings":["School of Computing Science, Simon Fraser University, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052058643","display_name":"Mark S. Drew","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M.S. Drew","raw_affiliation_strings":["School of Computing Science, Simon Fraser University, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088853402"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":2.4226,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89986366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"III","last_page":"413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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":0.9976999759674072,"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/computer-vision","display_name":"Computer vision","score":0.819584846496582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7886480689048767},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6751788258552551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6604985594749451},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6070195436477661},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5878657102584839},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.514228343963623},{"id":"https://openalex.org/keywords/inertia","display_name":"Inertia","score":0.5133063197135925},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5022094249725342},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.4382030963897705},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.40558668971061707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2129126787185669},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.14840105175971985},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09334045648574829}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.819584846496582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7886480689048767},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6751788258552551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604985594749451},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6070195436477661},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5878657102584839},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.514228343963623},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.5133063197135925},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5022094249725342},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.4382030963897705},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.40558668971061707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2129126787185669},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.14840105175971985},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09334045648574829},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icip.2002.1038993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1038993","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.364.1412","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.1412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bc.edu/~hjiang/papers/conference/icip02c.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.83.9862","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.83.9862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bc.edu/~hjiang/icip_snake.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.9.1973","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.1973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.sfu.ca/~mark/ftp/Icip02a/icip02a.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1481420047","https://openalex.org/W1578982614","https://openalex.org/W2104095591","https://openalex.org/W2114412518","https://openalex.org/W2143355697","https://openalex.org/W2145803225","https://openalex.org/W2161406034","https://openalex.org/W6628883542","https://openalex.org/W6634526070"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W3125766170","https://openalex.org/W2136363403"],"abstract_inverted_index":{"We":[0,14],"present":[1],"a":[2,16,37,107,122],"modified":[3],"snake":[4,22,80,124],"model":[5],"for":[6,129],"the":[7,21,26,31,41,44,64,76,79,83,94,101,115],"problem":[8,65,77],"of":[9,50,66,78,96],"general":[10,108,130],"video":[11,46,109,131],"object":[12,84,132],"tracking.":[13,133],"introduce":[15],"new":[17],"external":[18],"force":[19],"into":[20,82],"equation":[23],"based":[24],"on":[25],"predictive":[27],"contour":[28,33,51,54],"such":[29],"that":[30,114],"active":[32],"is":[34,90],"attracted":[35],"to":[36,40,92],"shape":[38],"similar":[39],"one":[42],"in":[43,106],"previous":[45],"frame.":[47],"New":[48],"methods":[49,60],"prediction":[52],"and":[53,72,99,126],"smoothing":[55],"are":[56],"presented.":[57],"The":[58],"proposed":[59,116],"can":[61,73,103],"deal":[62],"with":[63],"an":[67],"object's":[68],"stopping":[69],"movement":[70],"temporarily":[71],"also":[74],"avoid":[75],"tracking":[81],"interior.":[85],"Global":[86],"affine":[87],"motion":[88,98],"estimation":[89],"applied":[91,105],"eliminate":[93],"effect":[95],"camera":[97],"hence":[100],"method":[102,117],"be":[104],"environment.":[110],"Experimental":[111],"results":[112],"show":[113],"exhibits":[118],"increased":[119],"robustness":[120],"over":[121],"traditional":[123],"algorithm":[125],"works":[127],"well":[128]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}