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The paper presents a possible method to diagnose a mechanical fault of an automotive system. Several experimental tests have been developed aiming at determining the actual performances of a military vehicle's braking system. During data processing procedures, some unusual but also systematic noises occurred. As a main issue at this point, the source of the noise should have been identified and filtered...
Contour curves of shapes are important features for image analysis and understanding. A contour curve might be affected by various kinds of noise. In this paper a rapid curve denoising algorithm is proposed, which is equivalent to the existing Gaussian smoothing according to a convergence property of noise. A key problem of the rapid algorithm is to select a proper smoothing radius. We first sample...
This paper proposes a new probability iterative closest point approach with bounded scale based on expectation maximization (EM) estimation for scaling registration of point sets with noise. The bounded scale ICP algorithm can handle the case with different scales, but it could not effectively yield the alignment of point sets with noise. Aiming at improving the registration precision, a Gaussian...
In this paper we present a novel way of applying Zernike moments for image matching. Zernike moments are obtained from projecting image information under a circumscribed circle to Zernike basis function. However, the problem is that the power of discrimination may be reduced because hand images include lots of overlapped information due to their shape characteristic. On the other hand, in the pose...
Devices equipped by touch screens are nowadays widely diffused. One of the most meaningful factor which leads to this success is their easy and intuitive interface which allows a friendly user-device interaction. Touch shape recognition is a topic which has contributed to the realization of these types of interfaces. In this paper we propose a solution able to discriminate among different classes...
The long term goal of artificial intelligence and computer vision is to be able to build models of the world automatically and to use them for interpretation of new situations. It is natural that such models are efficiently organized in a hierarchical manner; a model is build by sub-models, these sub-models are again build of another models, and so on. These building blocks are usually shareable;...
In this paper, we intend to propose a new method to incorporate geometric shape prior into an edge-based active contours for robust object detection in presence of partial occlusions, low contrast and noise. A shape registration method based on phase correlation of binary images, associated with level set functions of the active contour and a reference shape, is used to define prior knowledge making...
Corona discharges initiated from water droplets on the surface of overhead line conductors are considered. The size of droplets on conductors with a range of surface hydrophobicity is evaluated. A range of droplet sizes are then selected on which to perform experimental studies of their dynamic behaviour under electric fields. It is found that the droplet varies its shape at twice the power frequency...
Trajectories obtained from low level tracking algorithm provide an opportunity for us to analyze meaningful behaviors and monitor adverse or malicious events. How to abstract meaningful features from the raw data of trajectories is a challenge due to the high dimensionality and noise. In this paper, a novel approach, stacked denoising autoencoder(SDA) is applied to address this problem. This method...
When tracking an extended object, traditional approaches exploit information only from measurements that are assumed to stem from the target, and discard observations assumed to have been generated elsewhere. However, the fact that these observations were received contains valuable information about where the target is not. This information, which is usually treated as clutter with little value, can...
Work presented in this paper investigates the feasibility of Continuous-Phase Quaternary Frequency Shift Keying (CP-QFSK) with limiter-discriminator detection modem as a viable dual data rate system that can be employed in TDMA short range communications systems. It offers a great deal of spectral efficiency in multi-channel systems, hardware simplicity and robustness to adjacent Channel Interference...
The fundamental requirements of a diagnostic procedure composed by defect identification, noise and disturbance rejection, separation of multiple sources, set-up conditions and test prescriptions, are described in this paper. This procedure allows to overcome problems found when practical objects are tested using the apparent charge measurement approach according to Std.IEC 60270. Definitions, methodologies...
In this paper an innovative procedure for the localization and reconstruction of objects composed of elementary shapes is described. Sparse backscattered multifrequency field data are assumed to be known. The strategy is based on two steps in order to decrease the computational costs and to allow the use of few measurement points (with respect of Number of Degrees of Freedom). At first an Interferometric-Migration...
The development of automated video-surveillance applications for maritime environment is a very difficult task due to the complexity of the scenes: moving water, waves, etc. The motion of the objects of interest (i.e. ships or boats) can be mixed with the dynamic behavior of the background (non-regular patterns). In this paper, a double-constrained Robust Principal Component Analysis (RPCA), named...
The autonomous motor skill learning is crucial for the humanoid robot to adapt to various tasks in complex environments and develop human-like behaviors. In this paper a method of autonomously learning arm movements for target reaching is proposed. To model the dynamics of arm joint trajectories during reaching, the dynamical movement primitives (DMP) model is employed. Based on the DMP representation,...
Multiple sequence magnetic resonance imaging (MRI) is often hampered by noise and misalignment. The wavelet de-noising lacks directivity and does not preserve image details, which limits its effectiveness. To solve the problem, an adaptive threshold de-noising method based on wavelet transformation is employed. As to misalignment, a registration method basis of shape context descriptor is proposed...
The square and rectangular shape of the pixels in the digital images for sensing and display purposes introduces several inaccuracies in the representation of digital images. The major disadvantage of square pixel shapes is the inability to accurately capture and display the details in the objects having variable orientations to edges, shapes and regions. This effect can be observed by the inaccurate...
This paper deals with a performance portrait based robustness and performance analysis of one of the first disturbance observer (DO) based PI controllers applied to the first order plants. The chosen structure has been established as a PI control augmented by a DO with the aim to improve the disturbance response and to increase the loop robustness. Thereby, three possible DO filters have been introduced,...
A new method is presented for robustly and efficiently registering two noisy point clouds. The registration is driven by establishing correspondences of virtual interest points, which do not exist in the original point cloud data, and redefined by the intersection of parametric surfaces extracted from the data. Parametric surfaces, such as planes, exist in abundance in both natural and artificial...
In this paper a state estimator for high tech flexible systems with an inherent nonlinearity in the output dynamics is proposed. We consider an application in which sensor measurements of the flexible system become parameter (position) dependent. An LPV setting is proposed for the design of estimators that estimate flexible modes of the system. The possibility of pole placement for the error dynamics...
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