‘Occurrence’ denotes a perceived element of a spatiotemporal development. In many languages, for example in English and German, occurrences correspond to verbphrases. We converted programmed recognition automata for German occurrence representations related to road traffic scenes into English occurrence specifications suitable for manipulation by a Fuzzy Metric-Temporal Horn Logic (FMTHL) infer...

In this paper we present a system for three-dimensional reconstruction of architectural scenes from uncalibrated videos. These videos might be recorded using hand-held cameras, downloaded from the internet or taken from archival sources. Because we do not require prior knowledge of the camera’s internal parameters such as focal length, center of projection, and radial distortion we can deal wit...

Language and concepts are intimately linked, but how do they interact? In the study reported here, we probed the relation between conceptual and linguistic processing at the earliest processing stages. We presented observers with sequences of visual scenes lasting 200 or 250 ms per picture. Results showed that observers understood and remembered the scenes' abstract gist and, therefore, their c...

This contribution addresses the problem of obtaining 3D models from image sequences. A 3D surface description of the scene is extracted completely from a set of uncalibrated camera images of the scene. No prior knowledge about the scene or about the camera is needed to build the 3D models. The only assumptions are the rigidity of the scene objects and opaque object surfaces. The modeling system...

This paper presents a 3D modeling system designed for Multi-view Video plus Depth (MVD) sequences. The aim is to remove redundancy in both texture and depth information present in the MVD data. To this end, a volumetric framework is employed in order to merge the input depth maps. Hereby a variant of the Space Carving algorithm is proposed. Voxels are iteratively carved by ray-casting from each...

This paper addresses the problem of reconstructing surface models of indoor scenes from sparse 3D scene structure captured from N camera views. Sparse 3D measurements of real scenes are readily estimated from image sequences using structure-from-motion techniques. Currently there is no general method for reconstruction of 3D models of arbitrary scenes from sparse data. We previously introduced ...

Abstract 3D reconstruction of space targets using optical measurement data is an important topic in the field surveillance and spacecraft service orbit. The core current mainstream methods to establish feature association between images. In space-based imaging scenes, texture target region missing range view large, which causes great difficulties extraction matching image sequences. Neural radi...

exposure to traumatic events is common in children and adolescent. post traumatic stress disorder (ptsd) is an emotional reaction to traumatic events, which is increasingly recognized to be a prevalent and disabling disorder. the aim of this study is to determine the distribution of normative life events which predicts ptsd in youth who referred to an outpatient clinic in rasht, iran. this stud...

Analyzing motion patterns in traffic videos can be exploited directly to generate high-level descriptions of the video contents. Such descriptions may further be employed in different traffic applications such as traffic phase detection and abnormal event detection. One of the most recent and successful unsupervised methods for complex traffic scene analysis is based on topic models. In this pa...