4-Dimensional deformation part model for pose estimation using Kalman filter constraints
This work addresses pose estimation accuracy for computer vision applications, but it appears incremental as it builds on existing models with a filter addition.
The paper tackled pose estimation by adding a Kalman filter to a 4-dimensional deformation part model, resulting in improved accuracy compared to state-of-the-art methods, with the Kalman filter specifically increasing this accuracy.
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.