A fast moving object tracking method by the combination of covariance matrix and Kalman filter algorithm
G Lee - Journal of the Korea Institute of Information and …, 2015 - koreascience.kr
This paper proposes a robust method for object tracking based on Kalman filters algorithm
and covariance matrix. As a feature of the object to be tracked, covariance matrix ensures …
and covariance matrix. As a feature of the object to be tracked, covariance matrix ensures …
[PDF][PDF] Wavelet neural network based adaptive tracking control for a class of uncertain nonlinear systems using reinforcement learning
In this paper an adaptive critic based wavelet neural network (WNN) based tracking control
strategy for a class of uncertain systems in continous time is proposed. The adaptive critic …
strategy for a class of uncertain systems in continous time is proposed. The adaptive critic …
Detecting algorithm for object based-double Haar transform
Y Liu, F Chang - International Workshop on Computer Science for …, 2011 - Springer
According to the feature of double Haar transform, a new moving object detecting algorithm
is proposed. Firstly, the gray difference image is pre-processed based on double Haar …
is proposed. Firstly, the gray difference image is pre-processed based on double Haar …
공분산행렬과칼만필터를결합한고속이동물체추적방법
이금분 - 한국정보통신학회논문지, 2015 - dbpia.co.kr
본 논문에서는 칼만 필터 알고리즘과 공분산 행렬을 결합한 강인한 이동 물체 추적 방법을
제안한다. 연속적으로 변화하는 영상 내에서 추적하고자 하는 물체의 특징으로서 공분산 …
제안한다. 연속적으로 변화하는 영상 내에서 추적하고자 하는 물체의 특징으로서 공분산 …
Adaptive control for a class of non-affine nonlinear system using wavelet neural networks
A Mortazavian, M Zekri, B Karimi - The 2nd International …, 2011 - ieeexplore.ieee.org
In this paper, adaptive wavelet neural network control (AWNNC) is proposed for a class of
non-affine nonlinear systems with unknown nonlinearities. The adaption laws of the system …
non-affine nonlinear systems with unknown nonlinearities. The adaption laws of the system …