{"id":"https://openalex.org/W1924283665","doi":"https://doi.org/10.1007/978-3-642-02345-3_27","title":"Foreground Segmentation via Segments Tracking","display_name":"Foreground Segmentation via Segments Tracking","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W1924283665","doi":"https://doi.org/10.1007/978-3-642-02345-3_27","mag":"1924283665"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-02345-3_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-02345-3_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5091722048","display_name":"Bogdan Kwolek","orcid":"https://orcid.org/0000-0002-7715-1435"},"institutions":[{"id":"https://openalex.org/I111664937","display_name":"Rzesz\u00f3w University of Technology","ror":"https://ror.org/056xse072","country_code":"PL","type":"education","lineage":["https://openalex.org/I111664937"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Bogdan Kwolek","raw_affiliation_strings":["Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Poland"],"affiliations":[{"raw_affiliation_string":"Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Poland","institution_ids":["https://openalex.org/I111664937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5091722048"],"corresponding_institution_ids":["https://openalex.org/I111664937"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18976546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"270","last_page":"281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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":0.9993000030517578,"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":0.9991000294685364,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8360434770584106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8090898394584656},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6966498494148254},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.6793615221977234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.676409125328064},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5999565124511719},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5972113013267517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5349264144897461},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5342518091201782},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4948846697807312},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4801163673400879},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46798965334892273},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4378878176212311}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8360434770584106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8090898394584656},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6966498494148254},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.6793615221977234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.676409125328064},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5999565124511719},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5972113013267517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5349264144897461},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5342518091201782},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4948846697807312},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4801163673400879},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46798965334892273},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4378878176212311},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-02345-3_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-02345-3_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W165777125","https://openalex.org/W1547483066","https://openalex.org/W1999052676","https://openalex.org/W1999478155","https://openalex.org/W2052636906","https://openalex.org/W2067191022","https://openalex.org/W2113137767","https://openalex.org/W2114117477","https://openalex.org/W2118877769","https://openalex.org/W2123741204","https://openalex.org/W2124351162","https://openalex.org/W2125480112","https://openalex.org/W2125951956","https://openalex.org/W2129823392","https://openalex.org/W2130103520","https://openalex.org/W2140235142","https://openalex.org/W2146293384","https://openalex.org/W2153963165","https://openalex.org/W2169467627","https://openalex.org/W2169551590","https://openalex.org/W2296770417","https://openalex.org/W2487251778","https://openalex.org/W2493402089","https://openalex.org/W2528658662","https://openalex.org/W2537262416","https://openalex.org/W2618753359","https://openalex.org/W2914976302","https://openalex.org/W4248635988"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W2971551846","https://openalex.org/W2109407305","https://openalex.org/W2032319136","https://openalex.org/W1582388844","https://openalex.org/W2088651901","https://openalex.org/W2897997384","https://openalex.org/W1544828638"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}