May 25, 2020 · Abstract:The objective of this work is to segment human body parts from egocentric video using semantic segmentation networks.
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Abstract: Egocentric segmentation has attracted recent interest in the computer vision community due to their potential in Mixed Reality (MR) applications.
In this work we compare segmentation methods from a perceptual point of view, by conducting subjective experiments with a group of users.
May 25, 2020 · A deep learning semantic segmentation algorithm that is able to perform beyond real-time requirements is implemented, believed that this ...
The objective of this work is to segment human body parts from egocentric video using semantic segmentation networks. Our contribution is two-fold: i) we ...
In this work we compare segmentation methods from a perceptual point of view, by conducting subjective experiments with a group of users.
Duration: 21:39
Posted: Oct 12, 2020
Posted: Oct 12, 2020
The objective of this work is to segment human body parts from egocentric video using semantic segmentation networks. Our contribution is two-fold: i) we create ...
Apr 21, 2023 · Real-time egocentric body segmentation algorithm identifies the pixels corresponding to the user's body from the frames captured by the frontal ...
Jul 4, 2022 · In this work we present our real-time egocentric body segmentation algorithm. Our algorithm achieves a frame rate of 66 fps for an input resolution of 640x480.
Missing: Human | Show results with:Human