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9,489
Universal Motion Prediction
"... This paper investigates the motion prediction techniques used in hybrid video coding. We first present a unified interpretation of motion prediction in terms of the prediction of motion threads. It is demonstrated that most current motion prediction techniques can be regarded as linear predictors of ..."
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Cited by 1 (1 self)
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This paper investigates the motion prediction techniques used in hybrid video coding. We first present a unified interpretation of motion prediction in terms of the prediction of motion threads. It is demonstrated that most current motion prediction techniques can be regarded as linear predictors
Atmospheric Modeling, Data Assimilation and Predictability
, 2003
"... Numerical weather prediction (NWP) now provides major guidance in our daily weather forecast. The accuracy of NWP models has improved steadily since the first successful experiment made by Charney, Fj!rtoft and von Neuman (1950). During the past 50 years, a large number of technical papers and repor ..."
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Cited by 626 (33 self)
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of data assimilation and predictability. It incorporates all aspects of environmental computer modeling including an historical overview of NWP, equations of motion and their approximations, a modern description of the methods to determine the initial conditions using weather observations and a clear
Trajectory Clustering for Motion Prediction
"... Abstract — We investigate a data-driven approach to robotic path planning and analyze its performance in the context of interception tasks. Trajectories of moving objects often contain repeated patterns of motion, and learning those patterns can yield interception paths that succeed more often. We t ..."
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Cited by 2 (0 self)
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therefore propose an original trajectory clustering algorithm for extracting motion patterns from trajectory data and demonstrate its effectiveness over the more common clustering approach of using k-means. We use the results to build a Hidden Markov Model of a target’s motion and predict movement. Our
Long-term Vehicle Motion Prediction
"... Abstract—Future driver assistance systems will have to cope with complex traffic situations, especially in the road crossing scenario. To detect potentially hazardous situations as early as possible, it is therefore desirable to know the position and motion of the ego-vehicle and vehicles around it ..."
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Cited by 13 (5 self)
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the class-specific probabilities estimated by the RBF classifier are used as a-priori probabilities for the hypotheses of the particle filter. The hypotheses are clustered with a mean-shift technique and are assigned a likelihood value. Motion prediction is performed based on the cluster centre
A survey on visual surveillance of object motion and behaviors
- IEEE Transactions on Systems, Man and Cybernetics
, 2004
"... Abstract—Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one of the most active research topics in computer vision. It has a wide spectrum of promising applications, including access control in special areas, human identification at a distance, crowd flux stat ..."
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Cited by 439 (6 self)
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-dimensional tracking, a combination of motion analysis and biometrics, anomaly detection and behavior prediction, content-based retrieval of surveillance videos, behavior understanding and natural language description, fusion of information from multiple sensors, and remote surveillance. Index Terms
Motion Prediction Equations
"... Online Material: Figures summarizing probabilistic hazard analysis for the United Kingdom. The uniformity and consistency of probabilistic seismic hazard assessments for the U.K. is investigated by exploring the sensi-tivity of analysis results to spatial seismicity modelling and ground motion model ..."
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Online Material: Figures summarizing probabilistic hazard analysis for the United Kingdom. The uniformity and consistency of probabilistic seismic hazard assessments for the U.K. is investigated by exploring the sensi-tivity of analysis results to spatial seismicity modelling and ground motion
Neural Correlates of Visual Motion Prediction
, 2012
"... Predicting the trajectories of moving objects in our surroundings is important for many life scenarios, such as driving, walking, reaching, hunting and combat. We determined human subjects ’ performance and task-related brain activity in a motion trajectory prediction task. The task required spatial ..."
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Predicting the trajectories of moving objects in our surroundings is important for many life scenarios, such as driving, walking, reaching, hunting and combat. We determined human subjects ’ performance and task-related brain activity in a motion trajectory prediction task. The task required
for empirical ground-motion prediction
, 2008
"... Making the most of available site information ..."
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