Due to their high-speed, correlation filters for object tracking have begun to receive increasing attention. Traditional object trackers based on correlation filters typically use a single type of feature. In this paper, we attempt to integrate multiple feature types to improve the performance, and we propose a new DD-HOG fusion feature that consists of discriminative descriptors (DDs) and hist...

A novel stochastic technique is presented to directly model singular vectors and singular values of a multiple input multiple output (MIMO) channel. Thus the components modeled directly in the eigen domain can be adapted to exhibit realistic physical domain behavior when assembled. The model exploits natural paths of eigenmodes, such that a simple Doppler filter generator process can be used. F...

in recent years, there has been a fast growth in wind energy conversion system (wecs). there are two general types of wind turbines in wecs: fixed speed wind turbines and varying speed wind turbines.permanent magnet synchronous generator (pmsg) is one of the most attractive generators for the varying speed turbine wecs.in this paper, a fuzzy controller is proposed to control the current source ...

In this paper, a combined adaptive-robust and neural network control based on backstepping design is proposed for trajectory tracking of two 6-DOF rigid link electrically driven (RLED) elbow robot manipulators moving a rigid object when actuator dynamics is also considered in the system dynamics. First, the authors derive kinematics and dynamics of the mechanical subsystem and the relations amo...

We studied the tracking theory based on Candide3 facial model and according to the research we further developed the tracking process. Based on the research of facial tracking, we put forward a dynamic feature extraction method based on six parameters of facial model. We introduced the active appearance model algorithm to locate and track feature points of facial expression, then studied the tr...

Detection and tracking are important components of many computer vision applications including automated surveillance. Object detection should overcome challenges such as changes in object appearances, illumination, and shadows. In our system, Gaussian mixture models are used for background subtraction to detect moving objects. Tracking is challenging because measurements from the object detect...

This paper introduces a novel real-time framework which enables detection, tracking and recognition of license plates from video sequences. An efficient algorithm based on analysis of Maximally Stable Extremal Region (MSER) detection results allows localization of international license plates in single images without the need of any learning scheme. After a one-time detection of a plate it is r...

Object tracking is an important research topic in the applications of machine vision, and has made great progress in the past decades, among which the technique based on classification is a very efficient way to solve the tracking problem. The classifier classifies the objects and background into two different classes, where the tracking drift caused by noisy background can be effectively handl...

We present a method for tracking Maximally Stable Homogeneous Regions (MSHR) in images with an arbitrary number of channels. MSHR are conceptionally very similar to Maximally Stable Extremal Regions (MSER) and Maximally Stable Color Regions (MSCR), but can also be applied to hyperspectral and color images while remaining extremely efficient. The presented approach makes use of the edge-based co...

The efficient target tracking algorithm researches have become current research focus of intelligent robots. The main problems of target tracking process in mobile robot face environmental uncertainty. They are very difficult to estimate the target states, illumination change, target shape changes, complex backgrounds, and other factors and all affect the occlusion in tracking robustness. To fu...