5 papers
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study
Timm Linder, Narunas Vaskevicius, Robert Schirmer +1
Advances in sensing and learning algorithms have led to increasingly mature solutions for human detection by robots, particularly in selected use-cases such as pedestrian detection…
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation
István Sárándi, Timm Linder, Kai O. Arras +1
Heatmap representations have formed the basis of 2D human pose estimation systems for many years, but their generalizations for 3D pose have only recently been considered. This inc…
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation
István Sárándi, Timm Linder, Kai O. Arras +1
In this paper we present our winning entry at the 2018 ECCV PoseTrack Challenge on 3D human pose estimation. Using a fully-convolutional backbone architecture, we obtain volumetric…
How Robust is 3D Human Pose Estimation to Occlusion?
István Sárándi, Timm Linder, Kai O. Arras +1
Occlusion is commonplace in realistic human-robot shared environments, yet its effects are not considered in standard 3D human pose estimation benchmarks. This leaves the question…
Deep Person Detection in 2D Range Data
Lucas Beyer, Alexander Hermans, Timm Linder +2
Detecting humans is a key skill for mobile robots and intelligent vehicles in a large variety of applications. While the problem is well studied for certain sensory modalities such…