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Conference Paper: Automatic acquisition of movement information by a knowledge-based recognition approach
Title | Automatic acquisition of movement information by a knowledge-based recognition approach |
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Authors | |
Issue Date | 1991 |
Citation | Proceedings of SPIE - The International Society for Optical Engineering, 1991, v. 1380, p. 108-115 How to Cite? |
Abstract | We discuss automatic acquisition of movement information from two types of input data using a knowledge-based scheme. When the input data is an image of 3D surface points mensurated from a single perspective, the process of recognizing and locating a body position in each image frame includes (1) isolating the body from the motion scene, (2) segmenting it into the individual body parts, and (3) identifying these parts with the labeled body parts of a stored model. When the input data is a limited number of 3D points indicating key body parts in activities, only step (3) is required for movement recognition: we only need to recognize light emitting devices (LED's) attached to the reference points without going through every detail of body surface points. The constraints in the system are explored and propagated to extract structural information from the input data compatible with the model structure. |
Persistent Identifier | http://hdl.handle.net/10722/315905 |
ISSN | 2023 SCImago Journal Rankings: 0.152 |
DC Field | Value | Language |
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dc.contributor.author | Bae, Kyongtae T. | - |
dc.contributor.author | Altschuler, Martin D. | - |
dc.date.accessioned | 2022-08-24T15:48:33Z | - |
dc.date.available | 2022-08-24T15:48:33Z | - |
dc.date.issued | 1991 | - |
dc.identifier.citation | Proceedings of SPIE - The International Society for Optical Engineering, 1991, v. 1380, p. 108-115 | - |
dc.identifier.issn | 0277-786X | - |
dc.identifier.uri | http://hdl.handle.net/10722/315905 | - |
dc.description.abstract | We discuss automatic acquisition of movement information from two types of input data using a knowledge-based scheme. When the input data is an image of 3D surface points mensurated from a single perspective, the process of recognizing and locating a body position in each image frame includes (1) isolating the body from the motion scene, (2) segmenting it into the individual body parts, and (3) identifying these parts with the labeled body parts of a stored model. When the input data is a limited number of 3D points indicating key body parts in activities, only step (3) is required for movement recognition: we only need to recognize light emitting devices (LED's) attached to the reference points without going through every detail of body surface points. The constraints in the system are explored and propagated to extract structural information from the input data compatible with the model structure. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings of SPIE - The International Society for Optical Engineering | - |
dc.title | Automatic acquisition of movement information by a knowledge-based recognition approach | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1117/12.48077 | - |
dc.identifier.scopus | eid_2-s2.0-0025808443 | - |
dc.identifier.volume | 1380 | - |
dc.identifier.spage | 108 | - |
dc.identifier.epage | 115 | - |