Agglomeration spill-over benefits are a major driver of policy creating industrial and science parks across the world. However, agglomeration benefits can be offset by competition arising out of the spatial proximity of firms. In this paper we examine the impact of agglomeration and selection on Taiwanese firms' total factor productivity (TFP) distribution and show that agglomeration causes the...

Denoising of electrocardiogram (ECG) is the fundamental technique for manual or automatic ECG diagnosis. Model-based denoising has attracted initial studies since the ECG dynamical model was established in 2003 and been demonstrated to outperform most model-less denoising methods. The focus of this paper is robust denoising of abnormal ECG signals, which do not satisfy the assumption in previou...

In this paper we present a new method for motion tracking of tumors in liver ultrasound image sequences. Our algorithm has two main steps. In the first step, we apply mean shift algorithm with multiple features to estimate the center of the target in each frame. Target in the first frame is defined using an ellipse. Edge, texture, and intensity features are extracted from the first frame, and t...

We propose an efficient approach for tracking humans in presence of severe occlusions through a combination of edge and color features. We implement a part based tracking paradigm to localize, accurately, the head, torso and the legs of a human target in successive frames. The Non-parametric color probability density estimates of these parts of the target are used to track them independently us...

We propose a new multivariate CUSUM control chart, which is based on selfadaption of its reference value according to the information of current process readings, to quickly detect the multivariate process mean shifts. By specifying the minimum magnitude of the process mean shift in terms of its non-centrality parameter, our proposed control chart can achieve an overall performance for detectin...

In recent years, gradient vector flow (GVF) based algorithms have been successfully used to segment a variety of 2-D and 3-D imagery. However, due to the compromise of internal and external energy forces within the resulting partial differential equations, these methods may lead to biased segmentation results. In this paper, we propose MSGVF, a mean shift based GVF segmentation algorithm that c...

We quantitatively compare two template-based tracking algorithms, Hager’s method and the hyperplane tracker, and three histogram-based methods, the mean-shift tracker, two trust-region trackers, and the CONDENSATION tracker. We perform systematic experiments on large test sequences available to the public. As a second contribution, we present an extension to the promising first two histogram-ba...

− Unsupervised motion segmentation and tracking in video sequences is a complex task, requiring robust estimation and flexible modeling. The paper presents an unsupervised method of moving object segmentation and tracking in video sequences captured by static cameras. Central to our work is the nonparametric density estimation and the mean shift algorithm for finding local maxima of the probabi...

Target tracking is widely applied to monitoring, video coding and military industry. It is a challenge for computer vision that how to conduct effective tracking in video sequences. Of that the main section is to choose proper features and search matching algorithm rapidly. As an effective matching algorithm, due to no exhaustive search required, Mean Shift is successfully applied in target tra...

Image Denoising & Segmentation are the key issues in all image processing researchers. The first step in image processing is segmentation. This can be done by using MS (Mean Shift) segmentation. After segmentation the image, the overall system quality can be improved by using the bilateral filter. The proposed method improves the bilateral filter through decomposing a signal into its frequency ...