{"id":"https://openalex.org/W1564293119","doi":"https://doi.org/10.1007/978-3-540-71457-6_45","title":"3D Model-Based Tracking of the Human Body in Monocular Gray-Level Images","display_name":"3D Model-Based Tracking of the Human Body in Monocular Gray-Level Images","publication_year":2007,"publication_date":"2007-06-04","ids":{"openalex":"https://openalex.org/W1564293119","doi":"https://doi.org/10.1007/978-3-540-71457-6_45","mag":"1564293119"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-71457-6_45","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-71457-6_45","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, W. Pola 2, 35-959 Rzesz\u00f3w, Poland","Rzesz\u00f3w University of Technology, Rzesz\u00f3w, Poland"],"affiliations":[{"raw_affiliation_string":"Rzesz\u00f3w University of Technology, W. Pola 2, 35-959 Rzesz\u00f3w, Poland","institution_ids":["https://openalex.org/I111664937"]},{"raw_affiliation_string":"Rzesz\u00f3w University of Technology, 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":1,"citation_normalized_percentile":{"value":0.15583669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"494","last_page":"505"},"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":0.9990000128746033,"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":0.9987000226974487,"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":0.8012980818748474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7627696990966797},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7555633783340454},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6705246567726135},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6158802509307861},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5887506008148193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5347563028335571},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4094788432121277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16925257444381714},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10674071311950684},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06487250328063965}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8012980818748474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7627696990966797},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7555633783340454},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6705246567726135},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6158802509307861},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5887506008148193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5347563028335571},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4094788432121277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16925257444381714},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10674071311950684},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06487250328063965},{"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:10.1007/978-3-540-71457-6_45","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-71457-6_45","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W176909625","https://openalex.org/W1526436178","https://openalex.org/W1526522039","https://openalex.org/W1565544260","https://openalex.org/W1643263348","https://openalex.org/W1914401667","https://openalex.org/W2006178360","https://openalex.org/W2065924773","https://openalex.org/W2095699045","https://openalex.org/W2096196978","https://openalex.org/W2113459360","https://openalex.org/W2138584923","https://openalex.org/W2140235142","https://openalex.org/W2141218264","https://openalex.org/W2143073828","https://openalex.org/W2144124341","https://openalex.org/W2146819802","https://openalex.org/W2161406034","https://openalex.org/W2613779721","https://openalex.org/W6681101697"],"related_works":["https://openalex.org/W2015530857","https://openalex.org/W1991846142","https://openalex.org/W1989212443","https://openalex.org/W2103644279","https://openalex.org/W4302986566","https://openalex.org/W1968585197","https://openalex.org/W2163445067","https://openalex.org/W4247544095","https://openalex.org/W2122155275","https://openalex.org/W2215635302"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
