Toward non-intrusive motion capture
Shape-from-silhouettes, a simple approach to 3D shape understanding, can also be used for recovering posture and motion of human bodies. Silhouettes are easy to obtain from intensity images, do not require foreign objects attached to the subject, can directly provide a 3-D reconstruction of the body...
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| creator | Bottino, A. Laurentini, A. Zuccone, P. |
| description | Shape-from-silhouettes, a simple approach to 3D shape understanding, can also be used for recovering posture and motion of human bodies. Silhouettes are easy to obtain from intensity images, do not require foreign objects attached to the subject, can directly provide a 3-D reconstruction of the body, or drive model-based motion capture. The purpose of this work is to demonstrate the effectiveness of this approach in a virtual environment, and to investigate number and position of stationary cameras suitable for precise reconstruction of the 3-D posture and motion of the human body. |
| doi_str_mv | 10.1007/3-540-63931-4_244 |
| format | Conference Proceeding |
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Silhouettes are easy to obtain from intensity images, do not require foreign objects attached to the subject, can directly provide a 3-D reconstruction of the body, or drive model-based motion capture. The purpose of this work is to demonstrate the effectiveness of this approach in a virtual environment, and to investigate number and position of stationary cameras suitable for precise reconstruction of the 3-D posture and motion of the human body.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540639312</identifier><identifier>ISBN: 3540639314</identifier><identifier>ISBN: 3540639306</identifier><identifier>ISBN: 9783540639305</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540696709</identifier><identifier>EISBN: 9783540696704</identifier><identifier>DOI: 10.1007/3-540-63931-4_244</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Exact sciences and technology ; Gait Cycle ; Motion Capture ; Pattern recognition. Digital image processing. 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Silhouettes are easy to obtain from intensity images, do not require foreign objects attached to the subject, can directly provide a 3-D reconstruction of the body, or drive model-based motion capture. The purpose of this work is to demonstrate the effectiveness of this approach in a virtual environment, and to investigate number and position of stationary cameras suitable for precise reconstruction of the 3-D posture and motion of the human body.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Gait Cycle</subject><subject>Motion Capture</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Reconstructed Volume</subject><subject>Stationary Camera</subject><subject>Virtual Environment</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540639312</isbn><isbn>3540639314</isbn><isbn>3540639306</isbn><isbn>9783540639305</isbn><isbn>3540696709</isbn><isbn>9783540696704</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNotkMtOAzEMRcNLopR-ALtKsA2140wyWaKKl1SJTVlHaSZBA-3MKGlB_D1pizeWfY8s38vYDcI9AugZ8UoCV2QIubRCyhN2RWWljNJgTtkIFSInkuaMTYyuD9qeFudsBASCGy3pkk1y_oRSJATKasRul_2PS8206zvedtu0y-13mG76bdt3U--G7S6Fa3YR3TqHyX8fs_enx-X8hS_enl_nDws-IBnJI4hGRq2UWdUVRB-9MmgkqSjQOVyZ4Cqtgw_C-1rqRjfkGoXlEWhIlGnM7o53B5e9W8fkOt9mO6R249KvFUB1rbFgsyOWi9J9hGRXff-VLYLdR2XJFu_2YN4eoqI_BQRVZg</recordid><startdate>20050729</startdate><enddate>20050729</enddate><creator>Bottino, A.</creator><creator>Laurentini, A.</creator><creator>Zuccone, P.</creator><general>Springer Berlin Heidelberg</general><general>Springer-Verlag</general><scope>IQODW</scope></search><sort><creationdate>20050729</creationdate><title>Toward non-intrusive motion capture</title><author>Bottino, A. ; Laurentini, A. ; Zuccone, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p1394-f02d4f7669b850fcfc6919436f21aa1b9ea577ece2cc847d7d3ad612210d327d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Gait Cycle</topic><topic>Motion Capture</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Reconstructed Volume</topic><topic>Stationary Camera</topic><topic>Virtual Environment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bottino, A.</creatorcontrib><creatorcontrib>Laurentini, A.</creatorcontrib><creatorcontrib>Zuccone, P.</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bottino, A.</au><au>Laurentini, A.</au><au>Zuccone, P.</au><au>Pong, Ting-Chuen</au><au>Chin, Roland</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Toward non-intrusive motion capture</atitle><btitle>Computer Vision — ACCV'98</btitle><date>2005-07-29</date><risdate>2005</risdate><spage>416</spage><epage>423</epage><pages>416-423</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540639312</isbn><isbn>3540639314</isbn><isbn>3540639306</isbn><isbn>9783540639305</isbn><eisbn>3540696709</eisbn><eisbn>9783540696704</eisbn><abstract>Shape-from-silhouettes, a simple approach to 3D shape understanding, can also be used for recovering posture and motion of human bodies. Silhouettes are easy to obtain from intensity images, do not require foreign objects attached to the subject, can directly provide a 3-D reconstruction of the body, or drive model-based motion capture. The purpose of this work is to demonstrate the effectiveness of this approach in a virtual environment, and to investigate number and position of stationary cameras suitable for precise reconstruction of the 3-D posture and motion of the human body.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/3-540-63931-4_244</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Computer Vision — ACCV'98, 2005, p.416-423 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_2038871 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Gait Cycle Motion Capture Pattern recognition. Digital image processing. Computational geometry Reconstructed Volume Stationary Camera Virtual Environment |
| title | Toward non-intrusive motion capture |
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