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

• URL: http://arxiv.org/abs/2402.04953v1
• Date: Wed, 7 Feb 2024 15:37:17 GMT
• Title: 4-Dimensional deformation part model for pose estimation using Kalman filter constraints
• Authors: Enrique Martinez-Berti, Antonio-Jose Sanchez-Salmeron, Carlos Ricolfe-Viala
• Abstract summary: The main goal of this article is to analyze the effect on pose estimation accuracy when using a Kalman filter added to 4-dimensional deformation part model partial solutions. The experiments run with two data sets showing that this method improves pose estimation accuracy compared with state-of-the-art methods and that a Kalman filter helps to increase this accuracy.
• Score: 0.0
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: The main goal of this article is to analyze the effect on pose estimation accuracy when using a Kalman filter added to 4-dimensional deformation part model partial solutions. The experiments run with two data sets showing that this method improves pose estimation accuracy compared with state-of-the-art methods and that a Kalman filter helps to increase this accuracy.

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