Visual tracking is one of the key components for robots to accomplish a given task in a dynamic environment, especially when independently moving objects are included. This paper proposes an extension of Adaptive Visual Servoing (hereafter, AVS) for unknown moving object tracking. The method utilizes binocular stereo vision, but does not need the knowledge of camera parameters. Only one assumption is that the system need stationary references in the both images by which the system can predict the motion of unknown moving objects. The basic ideas how we extended the AVS method such that it can track unknown moving objects are given and formalized into a new AVS system. The experimental results with proposed control architecture are shown and a discussion is given.
标签： components accomplish tracking dynamic
上传时间： 2013-12-10
上传用户：lizhen9880
BP neural network for time series analysis predicted that by entering the corresponding time-series data to predict the future, suitable for beginners on the BP neural network learning
标签： corresponding time-series predicted analysis
上传时间： 2016-11-27
上传用户：cjl42111
The basic principle using the branchand- bound strategy to solve the traveling salesperson optimization problem (TSP) consists of two parts. There is a way to split the solution space. There is a way to predict a lower bound for a class of solutions. There is also a way to find an upper bound of an optimal solution. If the lower bound of a solution exceeds this upper bound, this solution cannot be optimal. Thus, we should terminate the branching associated with this solution.
标签： salesperson principle branchand the
上传时间： 2017-02-18
上传用户：comua
This program calculates Approximate Entropy of a given time series. Approximate Entropy is a statistic which is used to predict the regularity in agiven time series. Apen( Approximate entropy ) is a recently developed method highly used in biomedical applications.
标签： Approximate Entropy calculates program
上传时间： 2013-12-26
上传用户：电子世界
跟類神經網路有點像的東西， 不過現今最常拿來就是做分類也就是說，如果我有一堆已經分好類的東西 （可是分類的依據是未知的！） ，那當收到新的東西時， SVM 可以預測 (predict) 新的資料要分到哪一堆去。
标签：
上传时间： 2014-01-18
上传用户：hasan2015
Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details while example-based methods sometimes introduce unexpected details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress artifacts in the reconstructed SR image, we introduce a multi-scale dictionary to a novel SR method that simultaneously integrates local and non-local priors. The local prior suppresses artifacts by using steering kernel regression to predict the target pixel from a small local area. The non-local prior enriches visual details by taking a weighted average of a large neighborhood as an estimate of the target pixel. Essentially, these two priors are complementary to each other. Experimental results demonstrate that the proposed method can produce high quality SR recovery both quantitatively and perceptually.
标签： Super-resolution Multi-scale Dictionary Single Image for
上传时间： 2019-03-28
上传用户：fullout
The objective of this book is to allow the reader to predict the received signal power produced by a particular radio transmitter. The first two chapters examine propagation in free space for point-to-point and point-to-area transmission, respectively. This is combined with a dis- cussion regarding the characteristics of antennas for various purposes. In chapter 3, the effect of obstacles, whether buildings or mountains, is discussed and analytical methods, whereby the strength of a signal is the shadow of an obstacle can be predicted, are presented.
标签： Propagation Essentials Radio Wave of
上传时间： 2020-05-27
上传用户：shancjb
Modeling and simulation of nonlinear systems provide communication system designers with a tool to predict and verify overall system performance under nonlinearity and complex communication signals. Traditionally, RF system designers use deterministic signals (discrete tones), which can be implemented in circuit simulators, to predict the performance of their nonlinear circuits/systems. However, RF system designers are usually faced with the problem of predicting system performance when the input to the system is real-world communication signals which have a random nature.
标签： Nonlinear_Distortion_in_Wireless_ Systems
上传时间： 2020-05-30
上传用户：shancjb
This book was born from the perception that there is much more to spectrum use and sharing than one sees reflected in publications, whether academic, commercial or political. the former – in good research style – tend towards reductionism and concentrate on specific, detailed aspects. commercial publications tend to empha- size the positive aspects and they tend to put promise above practice. Given the ever increasing pace of technology development and recent successes of new wireless technologies, some pundits predict large-scale spectrum scarcity, potentially lead- ing to economic catastrophe. Although economic theory has a hard time explaining recent events that shook the world economy, the notion of spectrum scarcity is intui- tively acceptable, even if not correct or immediately relevant.
上传时间： 2020-05-31
上传用户：shancjb
Failure analysis is invaluable in the learning process of electrostatic discharge (ESD) and electrical overstress (EOS) protection design and development [1–8]. In the failure analysis of EOS, ESD, and latchup events, there are a number of unique failure analysis processes andinformationthatcanprovidesignificantunderstandingandillumination[4].Today,thereis still no design methodology or computer-aided design (CAD) tool which will predict EOS, ESDprotectionlevels,andlatchupinasemiconductorchip;thisisoneofthesignificantreasons why failure analysis is critical to the ESD design discipline.
标签： Mechanisms Failure Models ESD and
上传时间： 2020-06-05
上传用户：shancjb
