This paper proposes a new control method for stabilising control design for docking unicycle-like vehicles based on bearing-only information. An omni-directional panoramic camera is used to detect visual targets around the docking station and provides bearing (or heading) data for each observed landmark. The convergence of the controlled system is fully analysed and simulations are provided to ...

A method for locating underground pipes from a pulse radar image is presented. The method employs the Laplacian of Gaussian filter to extract edges and employs the Hough transform to determine the depth of the pipes. A preliminary experiment showed its ability to detect deeply buried pipes with weak signal echoes. key words: radar image, Hough transform, LoG filter, underground locating

"Stealth Ships Detection by using Laplacian of Gaussian Algorithm", Sagar Shankarrao Dake M. Tech (IT), Gitam University Visakhapatnam, India "3D edge detection by separable recursive filtering and edge closing" Olivier MONGAINRIA ,Doinaine de Voluceau B. P. 105, Rachid DERICHE INRIA Sophia-Antipolis 2004, Route des Lucioles06565 VALBONNE CEDEX – FRANCE ,Gregoire MALANDAIN I...

In this paper we present a novel scale invariant interest point detector of blobs which incorporates the idea of blob movement along the scales. This trajectory of the blobs through the scale space is shown to be valuable information in order to estimate the most stable locations and scales of the interest points. Our detector evaluates interest points in terms of their self trajectory along th...

Deception dectection is one of the most difficult problems in affect recognition and expression research area. Recently, non-verbal methods of detecting deception have appeared to be promising. Thomas[1] presented a proof-of-concept study based on the blob analysis of some suspects’ interviews and mock experiments video clips. In this paper, we present our recent research work in the direction ...

Blob detection is a common task in vision-based applications. Most existing algorithms are aimed at execution on general purpose computers; while very few can be adapted to the computing restrictions present in embedded platforms. This paper focuses on the design of an algorithm capable of real-time blob detection that minimizes system memory consumption. The proposed algorithm detects objects ...

In this paper we present a new robust approach to extract moving objects in traffic scenes. It allows moving obstacles (cars, motorcycles, ...) to be detected from a moving car without any a priori information about the shape or location of these moving objects. This technique is based on the concept of tracking color blobs in image sequences.

Detection of edges in an image is a very important step towards understanding image features. Since edges often occur at image locations representing object boundaries, edge detection is extensively used in image segmentation when images are divided into areas corresponding to different objects. This can be used specifically for enhancing the tumor area in mammographic images. Different methods...

This paper presents a scheme for performing convolution operation directly on compressed images without decompressing them first. The use of such a scheme is demonstrated and discussed by showing the implementation of the Laplacian-of-Gaussian operator for edge detection. We present a complete evaluation of the different parameters involved in this process and show edge detection results on sev...

When bilaterally symmetric images are spatially filtered and thresholded, a subset of the resultant 'blobs' cluster around the axis of symmetry. Consequently, a quantitative measure of blob alignment can be used to code the degree of symmetry and to locate the axis of symmetry. Four alternative models were tested to examine which components of this scheme might be involved in human detection of...