Abstract: The parallel replica dynamics method, originally developed by A.F. Voter, can efficiently simulate very long trajectories of Langevin dynamics in the presence of metastability. In this work, we extend the algorithm to discrete in time Markov processes. We give a mathematical analysis

changes as soon as objects move. In this paper, we present a method that uses long term point trajectories based on dense optical flow. Defining pair-wise distances between these trajectories allows to cluster them, which results in temporally consistent segmentations of moving objects in a video shot

), these trends in female educational attainment have implications for children’s well-being in both the short and long term. The impact of maternal educa-tion on child health, psychosocial, and cognitive outcomes has been established with experimental and quasi-experimental designs, and the effects of early

discrimination of upward versus downward motion or (2) the maximum percentage of noise dots tolerated for accurate discrimination of biological from non-biological motion. Subjects were adults and children aged 7, 10, and 13-years (n = 20 per group). Contrary to earlier research, results revealed a similar, long

were unaware of the movements predicted by their recorded units. In this study, subjects had real-time visual feedback of their brain-controlled trajectories. Cell tuning properties changed when used for brain-controlled movements. By using control algorithms that track these changes, subjects made

. On average, individuals reacted to events and then adapted back toward baseline levels. However, there were substantial individual differences in this tendency. Individuals who initially reacted strongly were still far from baseline years later, and many people exhibited trajectories that were

We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. It is formulated in a hypothesis selection framework and builds upon a state-of-the-art pedestrian detector. At each time instant

A natural time-dependent similarity measure for two trajectories is their average distance at corresponding times. We give algorithms for computing the most similar subtrajectories under this measure, assuming the two trajectories are given as two polygonal, possibly self-intersecting lines

This paper presents a system for autonomous soaring flight by small and micro unin-habited aerial vehicles. It combines a prediction of wind field with a trajectory planner, a decision-making block, a low-level flight controller and sensors such as Global Positioning System and air data sensors

seen in long (more than 10 ns) simulations with previous AMBER parameter sets (parm94-99). The force field has been derived by fitting to high-level quantum mechanical data and verified by comparison with very high-level quantum mechanical calculations and by a very extensive comparison between