{"id":"https://openalex.org/W2047860484","doi":"https://doi.org/10.1145/1352694.1352714","title":"Motion segmentation using GPCA techniques and optical flow","display_name":"Motion segmentation using GPCA techniques and optical flow","publication_year":2007,"publication_date":"2007-05-14","ids":{"openalex":"https://openalex.org/W2047860484","doi":"https://doi.org/10.1145/1352694.1352714","mag":"2047860484"},"language":"en","primary_location":{"id":"doi:10.1145/1352694.1352714","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1352694.1352714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 Euro American conference on Telematics and information systems","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/A5067349876","display_name":"Cristina Losada","orcid":"https://orcid.org/0000-0001-9545-327X"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"C. Losada","raw_affiliation_strings":["Universidad de Alcal\u00e1, Madrid, Espa\u00f1a"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcal\u00e1, Madrid, Espa\u00f1a","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019241546","display_name":"Manuel Mazo","orcid":"https://orcid.org/0000-0002-5638-5283"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. Mazo","raw_affiliation_strings":["Universidad de Alcal\u00e1, Madrid, Espa\u00f1a"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcal\u00e1, Madrid, Espa\u00f1a","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019844081","display_name":"S. Palazuelos","orcid":null},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"S. Palazuelos","raw_affiliation_strings":["Universidad de Alcal\u00e1, Madrid, Espa\u00f1a"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcal\u00e1, Madrid, Espa\u00f1a","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111440239","display_name":"Jos\u00e9 Luis Marcos Mart\u00edn","orcid":null},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. L. Mart\u00edn","raw_affiliation_strings":["Universidad de Alcal\u00e1, Madrid, Espa\u00f1a"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcal\u00e1, Madrid, Espa\u00f1a","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020862895","display_name":"J.J. Garc\u0131\u0301a","orcid":"https://orcid.org/0000-0002-7121-8651"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. J. Garc\u00eda","raw_affiliation_strings":["Universidad de Alcal\u00e1, Madrid, Espa\u00f1a"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcal\u00e1, Madrid, Espa\u00f1a","institution_ids":["https://openalex.org/I189268942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10736679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9986000061035156,"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":0.9986000061035156,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/segmentation","display_name":"Segmentation","score":0.681172788143158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6778146028518677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6390788555145264},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6329834461212158},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6283862590789795},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.619382917881012},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5714625120162964},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5431737899780273},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.54152911901474},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5068567395210266},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4966147541999817},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4686761498451233},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.426637202501297},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30941179394721985}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.681172788143158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6778146028518677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6390788555145264},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6329834461212158},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6283862590789795},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.619382917881012},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5714625120162964},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5431737899780273},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.54152911901474},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5068567395210266},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4966147541999817},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4686761498451233},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.426637202501297},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30941179394721985},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1352694.1352714","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1352694.1352714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 Euro American conference on Telematics and information systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2005070869","https://openalex.org/W2099330788","https://openalex.org/W2111196130","https://openalex.org/W2114000464","https://openalex.org/W2118154608","https://openalex.org/W2138451337","https://openalex.org/W2142782401","https://openalex.org/W2153521483","https://openalex.org/W2157719643","https://openalex.org/W2177347332","https://openalex.org/W2535456584","https://openalex.org/W4301879366"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W4205800335","https://openalex.org/W2387793296","https://openalex.org/W1558398159"],"abstract_inverted_index":{"In":[0,24],"this":[1,28,54],"work,":[2],"the":[3,6,14,30,34,51,61,67,71,76,87,91,102],"use":[4],"of":[5,16,79],"Generalized":[7],"Principal":[8],"Components":[9],"Analysis":[10],"(G-PCA)":[11],"to":[12,26,49,59],"improve":[13],"segmentation":[15,88],"moving":[17],"objects":[18],"in":[19,33,70,86,97],"image":[20,35,72],"sequences":[21],"is":[22,47],"proposed.":[23],"order":[25],"obtain":[27],"improvement,":[29],"noise":[31,68],"components":[32],"derivatives":[36],"are":[37],"reduced,":[38],"and":[39,65,74,90],"afterwards,":[40],"a":[41],"method":[42],"based":[43],"on":[44],"linear":[45],"algebra":[46],"used":[48],"make":[50],"segmentation.":[52],"Furthermore":[53],"work":[55],"presents":[56],"diverse":[57],"tests":[58],"compare":[60],"results":[62],"reached":[63],"with":[64],"without":[66],"reduction":[69],"derivatives,":[73],"using":[75,101],"nonlinear":[77],"minimization":[78],"an":[80],"error":[81],"function.":[82],"A":[83],"remarkable":[84],"improvement":[85],"quality":[89],"processing":[92],"time":[93],"can":[94],"be":[95],"observed":[96],"every":[98],"experiment":[99],"when":[100],"proposed":[103],"method.":[104]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
