Knowledge of the process noise covariance matrix
is essential for the application of Kalman filtering. However,
it is usually a difficult task to obtain an explicit expression of
for large time varying systems. This paper looks at an adaptive
Kalman filter method for dynamic harmonic state estimation and
harmonic injection tracking.
Robustnesstochangesinilluminationconditionsaswellas viewing perspectives is an important requirement formany computer vision applications. One of the key fac-ors in enhancing the robustness of dynamic scene analy-sis that of accurate and reliable means for shadow de-ection. Shadowdetectioniscriticalforcorrectobjectde-ection in image sequences. Many algorithms have beenproposed in the literature that deal with shadows. How-ever,acomparativeevaluationoftheexistingapproachesisstill lacking. In this paper, the full range of problems un-derlyingtheshadowdetectionareidenti?edanddiscussed.Weclassifytheproposedsolutionstothisproblemusingaaxonomyoffourmainclasses, calleddeterministicmodeland non-model based and statistical parametric and non-parametric. Novelquantitative(detectionanddiscrimina-ionaccuracy)andqualitativemetrics(sceneandobjectin-dependence,?exibilitytoshadowsituationsandrobustnesso noise) are proposed to evaluate these classes of algo-rithms on a benchmark suite of indoor and outdoor videosequences.
Combined DHCP/DNS Server. DHCP Server allots addresses and DNS Server first try resolving from DHCP allotted names then from Cache then forwarding to External DNS. Relay Agent, PXEBOOT and BOOTP, Zone Replication, Auto Config and auto dynamic DNS update.
JPowerGraph is a Java library for creating directed graphs for Swing. It supports graph movement, selection, context menus, tooltips and dynamic edge creation.
JPowerGraph is a Java library for creating directed graphs for SWT. It supports graph movement, selection, context menus, tooltips and dynamic edge creation. JPowerGraph has a spring layout algorithm based on that used in TouchGraph.
The concept of Adaptive Memory coupled with advances in neighborhood structures
derived from dynamic and adaptive search constructions have been the
source of numerous important developments in metaheuristic optimization
throughout the last decade.
