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4-Dimensional deformation part model for pose estimation using Kalman filter constraints

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4-Dimensional deformation part model for pose estimation using Kalman filter constraints

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Martinez Berti, E.; Sánchez Salmerón, AJ.; Ricolfe Viala, C. (2017). 4-Dimensional deformation part model for pose estimation using Kalman filter constraints. International Journal of Advanced Robotic Systems. 14(3):1-13. doi:10.1177/1729881417714230

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/102700

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Title: 4-Dimensional deformation part model for pose estimation using Kalman filter constraints
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] The goal of this research work is to improve the accuracy of human pose estimation using the deformation part model without increasing computational complexity. First, the proposed method seeks to improve pose estimation ...[+]
Subjects: DPM , Kalman filter , Pose estimation , Kinematic constraints , Human activity recognition , Computer vision , Motion and tracking
Copyrigths: Reconocimiento (by)
Source:
International Journal of Advanced Robotic Systems. (issn: 1729-8806 )
DOI: 10.1177/1729881417714230
Publisher:
SAGE Publications
Publisher version: http://doi.org/10.1177/1729881417714230
Thanks:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was partially financed by Plan Nacional de I + D, Comision Interministerial de ...[+]
Type: Artículo

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