{"id":"https://openalex.org/W71723684","doi":"https://doi.org/10.1007/978-3-642-34630-9_11","title":"Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor","display_name":"Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W71723684","doi":"https://doi.org/10.1007/978-3-642-34630-9_11","mag":"71723684"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-34630-9_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-34630-9_11","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/A5084051053","display_name":"Bogus\u0142aw Cyganek","orcid":"https://orcid.org/0000-0001-5185-1145"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Bogus\u0142aw Cyganek","raw_affiliation_strings":["AGH University of Science and Technology, Krak\u00f3w, Poland","AGH Univ. of Science and Technology, Krakow, Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology, Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"AGH Univ. of Science and Technology, Krakow, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060936121","display_name":"Micha\u0142 Wo\u017aniak","orcid":"https://orcid.org/0000-0003-0146-4205"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Micha\u0142 Wo\u017aniak","raw_affiliation_strings":["Wroclaw University of Technology, Wroc\u0142aw, Poland","Wroclaw University of Technology. Wroclaw. Poland"],"affiliations":[{"raw_affiliation_string":"Wroclaw University of Technology, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345"]},{"raw_affiliation_string":"Wroclaw University of Technology. Wroclaw. Poland","institution_ids":["https://openalex.org/I11923345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084051053"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.4768,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67177872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"104","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.996399998664856,"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/tensor","display_name":"Tensor (intrinsic definition)","score":0.7596242427825928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.756738007068634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.708524227142334},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6502825021743774},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5989089012145996},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5569884181022644},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5029484629631042},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.47590121626853943},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.46500903367996216},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43162304162979126},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.42886096239089966},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41233232617378235},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.38455164432525635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30628281831741333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2008708417415619},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07038074731826782}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7596242427825928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756738007068634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.708524227142334},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6502825021743774},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5989089012145996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5569884181022644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5029484629631042},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.47590121626853943},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.46500903367996216},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43162304162979126},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.42886096239089966},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41233232617378235},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.38455164432525635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30628281831741333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2008708417415619},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07038074731826782},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-34630-9_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-34630-9_11","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":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W608943085","https://openalex.org/W1485534091","https://openalex.org/W1508960934","https://openalex.org/W1510073064","https://openalex.org/W1516396761","https://openalex.org/W1533475971","https://openalex.org/W1573819509","https://openalex.org/W1602659231","https://openalex.org/W1674866864","https://openalex.org/W1895043247","https://openalex.org/W1970088130","https://openalex.org/W1983496390","https://openalex.org/W2024007842","https://openalex.org/W2027179304","https://openalex.org/W2048192550","https://openalex.org/W2067191022","https://openalex.org/W2095225883","https://openalex.org/W2097924771","https://openalex.org/W2124868070","https://openalex.org/W2129461335","https://openalex.org/W2150134853","https://openalex.org/W2153635508","https://openalex.org/W2170120409","https://openalex.org/W2487087946","https://openalex.org/W2799061466","https://openalex.org/W3021440176","https://openalex.org/W3023786531","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W89301254","https://openalex.org/W2623954137","https://openalex.org/W2015754241","https://openalex.org/W1997494252","https://openalex.org/W3174244707","https://openalex.org/W3206725971","https://openalex.org/W2385280846","https://openalex.org/W2052072320","https://openalex.org/W2944675036","https://openalex.org/W2035177591"],"abstract_inverted_index":null,"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
