Industrial applications of photogrammetry usually involve the detection of targets placed on the surfaces of objects. Typical targets present circular shapes, which under perspective distortion can be well approximated by an elliptical contour. In this paper we present a solution for the detection of circular targets, based on a new technique for radial symmetry detection. At a given scale, rad...

The growing of multimedia content has motivated the need of tools to do image browsing and annotation; several texture descriptors have been proposed, but the high degree of complexity textures can achieve has limited their success. In this paper the concept of subtexture is introduced in order to make the automatic description of a texture adaptable to its complexity degree. A subtexture compo...

We present a scheme for exact collision detection between complex models undergoing rigid motion and deformation. The scheme relies on a hierarchical model representation using axis-aligned bounding boxes (AABBs). In recent work, AABB trees have been shown to be slower than oriented bounding box (OBB) trees. In this paper, we describe a way to speed up overlap tests between AABBs, such that for...

The proposed Missing Feature Linear-Frequency Cepstral Coefficients (MF-LFCC) is a noise robust cepstral feature that transforms both clean and noisy signals into a similar representation. Unlike conventional Missing Feature Techniques, the MF-LFCC does not require the substitution of spectrogram elements (imputation) or classifier modification (marginalization). To improve the noise mask used ...

We propose a new adaptive model update mechanism for the real-time mean shift blob tracking. Since the Kalman filter has been used mainly for smoothing the object trajectory in the tracking system, it is novel for us to use adaptive Kalman filters for filtering object kernel histogram so as to obtain the optimal estimate of object model. The acceptance of the object estimate for the next frame ...

The main goal of this paper is to define a new colour space that represents the colour information of the image in such a way to give a more coherent spatiochromatic representation. This space can allow to improve the performance of the algorithms of blob detection. To build the space we base colour representation on the ridges of the colour image distribution since it has been proved that they...

Corresponding Author: Selvanayaki, K.S. Department of Computer Applications, Easwari Engineering College, Chennai, India Email: [email protected] Abstract: On road vehicles have increased in numbers and monitoring them is a challenging task. In common areas of public crowd people and vehicles are common objects for monitoring. The proposed system aims at detecting number plate informatio...

Minimally invasive catheter ablation has become the preferred treatment option for atrial fibrillation. Although the standard ablation procedure involves ablation points set by radio-frequency catheters, cryo-balloon catheters have even been reported to be more advantageous in certain cases. As electro-anatomical mapping systems do not support cryo-balloon ablation procedures, X-ray guidance is...

Vision-based traffic surveillance has been one of the most promising fields for improvement and research. Still, many challenging problems remain unsolved, such as addressing vehicle occlusions reducing false detection. In this work, a method detection tracking is proposed. The proposed model considers background subtraction concept moving but unlike conventional approaches, here numerous algor...

This paper describes a fast junction detection algorithm using the Laplacian of Gaussian detector. We propose a general junction model and analyze its behavior in scale space. This study shows two properties: the Laplacian of Gaussian is zero at any junction and it has one or several elliptic extrema that always lie inside the junction sectors. These extrema move in scale space on lines passing...