This paper presents a particle filtering approach for 6-DOF object pose tracking using an
RGB-D camera. Our particle filter is massively parallelized in a modern GPU so that it …

The particle filter (PF) has during the last decade been proposed for a wide range of
localization and tracking applications. There is a general need in such embedded system to …

We present an object pose estimation approach exploiting both geometric depth and
photometric color information available from an RGB-D sensor. In contrast to various efforts …

Nonlinear filtering is an important standard tool for information and sensor fusion
applications, eg, localization, navigation, and tracking. It is an essential component in …

In this work, we implement a real-time visual tracker that targets the position and 3D pose of
objects in video sequences, specifically faces. The use of stream processors for the …

Modern graphics cards for computers, and especially their graphics processing units
(GPUs), are designed for fast rendering of graphics. In order to achieve this GPUs are …

Particle filtering is widely used in numerous nonlinear applications which require
reconfigurability, fast prototyping, and online parallel signal processing. The emerging …

In this paper, we propose a particle filter that determines the weight of each particle
employing the incremental likelihood calculation. Since there is usually a large overlap …

We present a multiple-person tracking algorithm, based on combining particle filters (PFs)
and reciprocal velocity obstacle (RVO), an agent-based crowd model that infers collision …

This work presents an effective approach to visual tracking using a graphics processing unit
(GPU) for computation purposes. In order to get a performance improvement against other …