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We generalize the network flow formulation for multiobject tracking to multi-camera setups. In the past, reconstruction of multi-camera data was done as a separate extension. In this work, we present a combined maximum a posteriori (MAP) formulation, which jointly models multicamera reconstruction as well as global temporal data association. A flow graph is(More)
We aim to develop an open software system to handle human genome data. The system, called Integrated Genomic Database (IGD), will integrate information from many genomic databases and experimental resources into a comprehensive target-end database (IGD TED). Users will access front-end client systems (IGD FRED) to download data of interest to their(More)
In this paper, we present an efficient semantic segmentation framework for indoor scenes operating on 3D point clouds. We use the results of a Random Forest Classifier to initialize the unary potentials of a densely interconnected Conditional Random Field, for which we learn the parameters for the pairwise potentials from training data. These potentials(More)
We present a novel, fast, and compact method to improve semantic segmentation of three-dimensional (3-D) point clouds, which is able to learn and exploit common contextual relations between observed structures and objects. Introducing 3-D Entangled Forests (3-DEF), we extend the concept of entangled features for decision trees to 3-D point clouds, enabling(More)
The authors propose a wood cutting optimization technique to deal with a class of problems, in which dimensions of objects to be cut are unknown beforehand. The technique is based on a two-level hierarchical structure: a placement algorithm charged on a given plank to optimize the cutting and a process control procedure permitting production of a requested(More)
This paper presents the behaviour control of a service robot for intelligent object search in a domestic environment. A major challenge in service robotics is to enable fetch-and-carry missions that are satisfying for the user in terms of efficiency and human-oriented perception. The proposed behaviour controller provides an informed intelligent search(More)
In this paper, we propose an efficient semantic segmentation framework for indoor scenes, tailored to the application on a mobile robot. Semantic segmentation can help robots to gain a reasonable understanding of their environment, but to reach this goal, the algorithms not only need to be accurate, but also fast and robust. Therefore, we developed an(More)
While navigation based on 2D laser data is well understood, the application of robots at home environments requires seeing more than a slice of the world. RGB-D cameras have been used to perceive the full scenes and solutions exist consuming extensive computing power. We propose a setup with two RGB-D cameras that covers the need for conflicting(More)
This paper addresses the problem of gait recognition in the presence of occlusions. Recognition of people using their gait has been an active research area and many successful algorithms have been presented. However to this point non of the methods addresses the problem of occlusion. Most of the current algorithms need a full gait cycle for recognition. In(More)