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Object detection from still images has been among the most active and challenging area in computer vision recently. In contrast, fully supervised object detection from video has rarely been investigated. In this paper, we propose an algorithm to improve the performance of object detection from video. Our proposed method is based on an empirical property that the trajectory of an object is important...
The research with respect to Particle Swarm Optimization is concentrated in improving their performance on avoiding local maxima. Since standard Particle Swarm Optimization does not perform well in many cases, we propose double chaotic particle swarm optimization algorithm based on logistic map. This chaotic movement has good randomness and ergodic statistics property of chaos sequence. We propose...
Robust pole assignment problem for linear systems with uncertainty is studied in this paper. The proposed gradient flow optimization algorithm is used to solve the Sylvester equations, in order that the close-loop control systems have the desired robust poles, namely, the uniformly asymptotically stable performance. The feedback gain matrix of the synthesized system can be derived from the gradient...
A new L2-gain disturbance rejection controller and adaptive adjustment are combined into a hybrid robust control scheme, which is proposed for robot tracking control systems. The proposed controller deals mainly with external disturbances and nonlinear uncertainty in motion control. A neural network (NN) is used to approximate the uncertainties in a robotic system. Meanwhile, the approximating error...
Unmodeled dynamics are the unavoidable nonlinear effect that can limit control performance in robotic systems. The unmodeled dynamics of the system include uncertainty or unknown and unmeasured states. Meanwhile, it is not available for the control. Based on universal approximation results for radial basis function neural networks (RBF-NN), it has been proposed as an alternative to NN for approximating...
In the view of the situation that certain quantities of cells adhere, overlap and gather when the outline edge of cells is extracted during the research on forming characteristic of wood cells, this paper puts forward the improved two-step inflation model of snake with which outline of cells is extracted. At the same time, the greedy optimized algorithm is applied to reduce the running time of the...
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