Contour tracking and corner detection in a logic programming environment

Contour Tracking and Corner Detection in a Logic Programming Environment

Doppler and bearing tracking using fuzzy adaptive unscented Kalman filter

The topic of Doppler and Bearing Tracking (DBT) problem is to achieve a target trajectory using the Doppler and Bearing measurements. The difficulty of DBT problem comes from the nonlinearity terms exposed in the measurement equations. Several techniques were studied to deal with this topic, such as the unscented Kalman filter. Nevertheless, the performance of the filter depends directly on the...

Single chord-based corner detectors on planar curves

Detecting corner locations in the images plays a significant role in several computer vision applications such as motion detection, image registration, video tracking, image mosaicing, panorama stitching and object recognition. In this paper we have analyzed an existing state of art, Chord to Point Distance Accumulation (CPDA) corner detector and modified this detector in way that it uses a sin...

Conversion database of the shapes into XML data for shape matching

We present a new approach to the matching of 2D shapes using XML language and dynamic programming. Given a 2D shape, we extract its contour and which is represented by set of points. The contour is divided into curves using corner detection. After, each curve is described by local and global features; these features are coded in a string of symbols and stored in a XML file. Finally, using the d...

How to Track Eeciently Piecewise Curved Contours with a View to Reconstructing 3d Objects

This paper addresses the problem of rigid and non polyhedral object tracking in complex environments without a priori knowledge neither on objects nor on the camera motion. The key of our approach is to propose a robust curve based tracking algorithm founded on an iterative registration method and exploiting our rigid snake model. In order to ensure the convergence of the tracking process, we t...