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— Image-based 6-DoF pose estimation of arbitrarily shaped 3D objects based on their shape is a rarely studied problem. Most existing image-based methods for pose estimation either exploit textural information in form of local features or, if shape-based, rely on the extraction of straight line segments or other primitives. Straightforward extensions of 2D(More)
Although computer vision and other machine perception have made great progress in recent years, corresponding high-level components have not progressed that fast. We present a general purpose framework for high-level situation recognition that is suited for arbitrary application domains and sensor setups. Our approach is hierarchical as opposed to(More)
In surveillance applications human operators are either confronted with a high cognitive load or monotonic time periods where the operator's attention rapidly decreases. Therefore, automatic high-level interpretation of image sequences gains increasing importance in assisting human operators. We present a generic hierarchical system that generates(More)
This paper addresses the problem of automatic behavior understanding in smart environments. Automatic behavior understanding is defined as the generation of semantic event descriptions from machine perception. Outputs from available perception modalities can be fused into a world model with a single spatiotemporal reference frame. The fused world model can(More)
While most approaches to symmetry detection in machine vision try to explain the gray-values or colors of the pixels, Gestalt algebra has no room for such measurement data. The entities (i.e. Gestalten) are only defined with respect to each other. They form a generic hierarchy, and live in a continuous domain without any pixel raster. There is also no(More)
Fuzzy metric temporal logic (FMTL) and situation graph trees (SGTs) have been shown to be promising tools in high-level situation recognition. They generate semantic descriptions from numeric perceptual data. FMTL and SGTs allow for sophisticated and universally applicable rule-based expert systems. Dealing with incomplete data is still a challenging task(More)
This contribution aims at assisting video surveillance operators with automatic understanding of situations in videos. The situations comprise many different agents interacting in groups. To this end we extended an existing situation recognition framework based on Situation Graph Trees and Fuzzy Metric Temporal Logic. Non-parametric mean-shift clustering is(More)
To examine our hypothesis that family experiences would be associated with attitudes toward marriage, we administered the Family Environment Scale (FES; Moos & Moos, 1986) and a Marriage Attitudes Questionnaire (MAQ; adapted from Long, 1987) to 40 unmarried college students. Correlational analyses indicated that for the conflict subscale of the FES, only(More)
Automatic behavior understanding refers to the generation of situation descriptions from machine perception. World models created through machine perception can be used by a reasoning engine to deduce knowledge about the observed scene. For this study, the required machine perception is annotated, allowing us to focus on the reasoning problem. The applied(More)