Human motion tracking by combining view-based and model-based methods for monocular video sequences
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, J | - |
dc.contributor.author | Park, S | - |
dc.contributor.author | Aggarwal, JK | - |
dc.date.accessioned | 2022-03-14T09:44:00Z | - |
dc.date.available | 2022-03-14T09:44:00Z | - |
dc.date.created | 2022-03-14 | - |
dc.date.issued | 2003 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/26640 | - |
dc.description.abstract | Reliable tracking of moving humans is essential to motion estimation, video surveillance and human-computer interface. This paper presents a new approach to human motion tracking that combines view-based and model-based techniques. Monocular color video is processed at both pixel level and object level. At the pixel level, a Gaussian mixture model is used to train and classify individual pixel colors. At the object level, a 3D human body model projected on a 2D image plane is used to fit the image data. Our method does not use inverse kinematics due to the singularity problem. While. many others use stochastic sampling for model-based motion tracking, our method is purely dependent on parameter optimization. We convert the human motion tracking problem into a parameter optimization problem. A cost function for parameter optimization is used to estimate the degree of the overlapping between the foreground input image silhouette and a projected 3D model body silhouette. The overlapping is computed using computational geometry by converting a set of pixels from the image domain to a polygon in the real projection plane domain. Our method is used to recognize various human motions. Motion tracking results from video sequences are very encouraging. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Human motion tracking by combining view-based and model-based methods for monocular video sequences | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, J | - |
dc.identifier.wosid | 000184327900066 | - |
dc.identifier.bibliographicCitation | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCA 2003, PT 3, PROCEEDINGS, v.2669, pp.650 - 659 | - |
dc.relation.isPartOf | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCA 2003, PT 3, PROCEEDINGS | - |
dc.citation.title | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCA 2003, PT 3, PROCEEDINGS | - |
dc.citation.volume | 2669 | - |
dc.citation.startPage | 650 | - |
dc.citation.endPage | 659 | - |
dc.type.rims | ART | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
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