Three Spatial Verification Techniques: Cluster Analysis, Variogram, and Optical Flow

Three Spatial Verification Techniques: Cluster Analysis, Variogram, and Optical Flow

Three spatial verification techniques are applied to three datasets. The datasets consist of a mixture of real and artificial forecasts, and corresponding observations, designed to aid in better understanding the effects of global (i.e., across the entire field) displacement and intensity errors. The three verification techniques, each based on well-known statistical methods, have little in com...

Static Signature Verification by Optical Flow Analysis

paper presents a new approach for static signature verification based on optical flow. In the first part of the paper, optical flow is used for estimating local stability of static signatures. In the second part, signature verification is performed by the analysis of optical flow, using an alternating decision tree. The experimental tests, carried out on signature of the GPDS database, demonstr...

Optical Flow for Verification

Modern Numerical Weather Prediction (NWP) models produce forecasts which are effectively gridded spatial fields. Digital images can also be viewed as gridded spatial fields, and as such, techniques from image analysis can be employed to address the problem of verification of NWP forecasts. One relatively successful technique for modeling how images change temporally is called optical flow, wher...

Optical Flow: Techniques and Applications

Pedestrian Flow Simulation Validation and Verification Techniques

For the verification and validation of microscopic simulation models of pedestrian flow, we have performed experiments for different kind of facilities and sites where most conflicts and congestion happens e.g. corridors, narrow passages, and crosswalks. The validity of the model should compare the experimental conditions and simulation results with video recording carried out in the same condi...