{"id":"https://openalex.org/W95420237","doi":"https://doi.org/10.1007/978-3-642-33715-4_49","title":"Moving Object Segmentation Using Motor Signals","display_name":"Moving Object Segmentation Using Motor Signals","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W95420237","doi":"https://doi.org/10.1007/978-3-642-33715-4_49","mag":"95420237"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-33715-4_49","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-33715-4_49","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":"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/A5103579034","display_name":"Changhai Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Changhai Xu","raw_affiliation_strings":["Computer Science, University of Texas at Austin, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, University of Texas at Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032552506","display_name":"Jingen Liu","orcid":"https://orcid.org/0000-0003-3133-3644"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingen Liu","raw_affiliation_strings":["SRI International Sarnoff, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRI International Sarnoff, USA","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070191324","display_name":"Benjamin Kuipers","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Kuipers","raw_affiliation_strings":["Computer Science & Engineering, University of Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, University of Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.128,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78623636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"676","last_page":"689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/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/T10812","display_name":"Human Pose and Action Recognition","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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.806484043598175},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7990503311157227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6407660245895386},{"id":"https://openalex.org/keywords/fundamental-matrix","display_name":"Fundamental matrix (linear differential equation)","score":0.6125403046607971},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5997312664985657},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5943705439567566},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5572214126586914},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.5096874237060547},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4485281705856323},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4175442159175873},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.4155256748199463},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4103471040725708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3676023483276367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23982712626457214}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.806484043598175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7990503311157227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6407660245895386},{"id":"https://openalex.org/C2780427248","wikidata":"https://www.wikidata.org/wiki/Q17014996","display_name":"Fundamental matrix (linear differential equation)","level":2,"score":0.6125403046607971},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5997312664985657},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5943705439567566},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5572214126586914},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.5096874237060547},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4485281705856323},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4175442159175873},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.4155256748199463},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4103471040725708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3676023483276367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23982712626457214},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-33715-4_49","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-33715-4_49","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":[{"score":0.5199999809265137,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1499877760","https://openalex.org/W1978597204","https://openalex.org/W1984190176","https://openalex.org/W1989348325","https://openalex.org/W1995499808","https://openalex.org/W1999052676","https://openalex.org/W2028898347","https://openalex.org/W2031035116","https://openalex.org/W2033639255","https://openalex.org/W2033819227","https://openalex.org/W2040070350","https://openalex.org/W2072595688","https://openalex.org/W2079100816","https://openalex.org/W2096309046","https://openalex.org/W2103846358","https://openalex.org/W2104095591","https://openalex.org/W2111557120","https://openalex.org/W2111918405","https://openalex.org/W2113459360","https://openalex.org/W2121947440","https://openalex.org/W2122423951","https://openalex.org/W2125501610","https://openalex.org/W2125884443","https://openalex.org/W2127890441","https://openalex.org/W2130103520","https://openalex.org/W2133576408","https://openalex.org/W2134665698","https://openalex.org/W2140235142","https://openalex.org/W2148569338","https://openalex.org/W2161406034","https://openalex.org/W2165949425","https://openalex.org/W2168555635","https://openalex.org/W2171885832","https://openalex.org/W2536706996","https://openalex.org/W3152336969","https://openalex.org/W3173880854","https://openalex.org/W4206610958","https://openalex.org/W4243684731"],"related_works":["https://openalex.org/W2166798841","https://openalex.org/W2086368330","https://openalex.org/W2170198060","https://openalex.org/W2365196554","https://openalex.org/W11665857","https://openalex.org/W2157442928","https://openalex.org/W1507433894","https://openalex.org/W2061723032","https://openalex.org/W2356063813","https://openalex.org/W2962815957"],"abstract_inverted_index":null,"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}